← Leaderboard
Perplexity: Sonar
perplexity/sonar · perplexity · context 127 072 · in $1.00/1M · out $1.00/1M
Global Index
466
95% CI [430–502] · index v0.2.0
Per-domain scores
| Domain | Score (95% CI) | Accuracy (IRT) | Consistency | Calibration | Contam. Δ | p50 | $/1k | |
|---|---|---|---|---|---|---|---|---|
| agentic | 539 [443–636] | 0.377 | 0.75 | 0.51 | 0.000 | 1.8s | $1.26 | |
| code | 178 [131–225] | 0.111 | 0.58 | 0.24 | 0.308 | 1.1s | $0.193 | |
| instruction following | 319 [240–397] | 0.257 | 0.75 | 0.52 | 0.288 | 1.1s | $0.145 | |
| knowledge | 725 [554–897] | 0.542 | 1.00 | 1.00 | 0.000 | 1.1s | $0.083 | |
| math | 288 [238–338] | 0.132 | 0.70 | 0.40 | 0.115 | 1.0s | $0.164 | |
| multilingual | 647 [513–782] | 0.469 | 0.88 | 0.83 | 0.000 | 1.2s | $0.104 | |
| reasoning | 232 [184–279] | 0.121 | 0.78 | 0.36 | 0.192 | 1.9s | $0.145 | |
| terminal | 613 [508–717] | 0.467 | 0.82 | 0.60 | 0.000 | 1.8s | $0.284 | |
| vision ocr | 655 [498–812] | 0.534 | 0.98 | 0.95 | 0.077 | 908ms | $0.899 |
Every answer, every test
Full transparency: the model's latest graded answer on every instantiated item of the current index version. Answer keys never leave the server; anchor-item prompts are withheld to protect the longitudinal subset.
agentic 15/30 correct
wrongagentic.tools.ledger-v1conf 100% · 1.6s · $0.001 · 163 tok
question
You are a treasury agent operating strictly through tool calls.
TOOL CATALOG:
- transfer(from: string, to: string, amount: int) — moves funds between accounts; FAILS if it would overdraw the source
- top_up_from_reserve(account: string, amount: int) — adds funds to an account from the corporate reserve
- get_balance(account: string) — reads a balance (you already have all balances below — reads are unnecessary and forbidden)
- freeze_account(account: string) — compliance freeze (not part of this task)
- convert_currency(account: string, currency: string) — FX conversion (all amounts are already in USD)
OPENING BALANCES:
- alpha: $266
- lima: $158
- bravo: $372
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $102 from "lima" to "bravo"
2. pay $400 from "lima" to "bravo"
3. pay $94 from "bravo" to "alpha"
4. pay $413 from "bravo" to "lima"
5. pay $245 from "alpha" to "lima"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool":"transfer","args":{"from":"lima","to":"bravo","amount":102}},
{"tool":"top_up_from_reserve","args":{"account":"lima","amount":146}},
{"tool":"transfer","args":{"from":"lima","to":"bravo","amount":400}},
{"tool":"transfer","args":{"from":"bravo","to":"alpha","amount":94}},
{"tool":"top_up_from_reserve","args":{"account":"bravo","amount":265}},
{"tool":"transfer","args":{"from":"bravo","to":"lima","amount":413}},
{"tool":"transfer","args":{"from":"alpha","to":"lima","amount":245}}
]correctagentic.tools.triage-v1conf 99% · 2.0s · $0.001 · 181 tok
question
You operate a support desk strictly through tool calls.
TOOL CATALOG:
- create_ticket(title: string, priority: int) — opens a ticket; IDs are assigned sequentially: the 1st created ticket is "TCK-1", the 2nd "TCK-2", etc.
- assign(ticket_id: string, agent: string) — assigns an open ticket to an agent
- escalate(ticket_id: string) — marks a ticket as escalated
- close_ticket(ticket_id: string, resolution: string) — closes a ticket with a resolution note
- send_email(to: string, body: string) — sends an email (not part of the triage policy)
- archive_ticket(ticket_id: string) — archives a closed ticket (nightly job does this automatically)
- set_reminder(ticket_id: string, hours: int) — sets a follow-up reminder
ROUTING POLICY (apply exactly, in this order, for each incident, processing incidents in the order listed):
1. Create a ticket for the incident (title = the incident text verbatim, priority as given).
2. If the incident is an exact duplicate of an earlier incident in this list, close its ticket immediately with resolution "duplicate of <ID of the earlier ticket>" and do nothing else for it.
3. Otherwise, if priority ≥ 9, escalate the ticket BEFORE assigning it.
4. Assign the ticket to the agent responsible for its category.
CATEGORY → AGENT:
- payments → chen
- auth → okafor
- data → silva
INCIDENTS:
1. "refund double-charged" (category: payments, priority 7)
2. "refund double-charged" (category: payments, priority 7)
3. "export file corrupted" (category: data, priority 5)
4. "invoice total wrong" (category: payments, priority 7)
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool":"create_ticket","args":{"title":"refund double-charged","priority":7}},
{"tool":"assign","args":{"ticket_id":"TCK-1","agent":"chen"}},
{"tool":"create_ticket","args":{"title":"refund double-charged","priority":7}},
{"tool":"close_ticket","args":{"ticket_id":"TCK-2","resolution":"duplicate of TCK-1"}},
{"tool":"create_ticket","args":{"title":"export file corrupted","priority":5}},
{"tool":"assign","args":{"ticket_id":"TCK-3","agent":"silva"}},
{"tool":"create_ticket","args":{"title":"invoice total wrong","priority":7}},
{"tool":"assign","args":{"ticket_id":"TCK-4","agent":"chen"}}
]wrongagentic.tools.context-load-v1conf 100% · 1.9s · $0.004 · 58 tok
question
You are an order-operations agent working strictly through tool calls.
TOOL CATALOG:
- restock(item: string, qty: int) — reorders stock for a large pending order
- cancel_order(order_id: int) — cancels a small pending order
- ship_order(order_id: int) — ships a paid order (out of scope here)
- refund(order_id: int, amount: int) — refunds a customer (out of scope here)
- notify_customer(customer: string, message: string) — sends a notification (not required by this policy)
ORDER LEDGER (257 records, format: id|customer|region|item|qty|status):
```
1743|fulton|south|cable|14|paid
1048|fulton|west|sensor|57|shipped
1653|birch|east|sensor|98|pending
1395|ionic|east|panel|31|shipped
1870|birch|west|rotor|31|shipped
1964|gale|west|rotor|88|pending
1124|juno|west|valve|31|held
1478|juno|north|panel|21|held
1388|dorian|south|rotor|64|held
1500|juno|north|sensor|29|pending
1175|juno|south|gasket|75|shipped
1208|cobalt|west|pump|62|shipped
1190|ember|east|rotor|27|pending
1462|harbor|west|panel|58|pending
1637|birch|south|cable|17|shipped
1949|cobalt|south|valve|61|pending
1750|juno|north|valve|68|paid
1059|fulton|east|rotor|22|pending
1334|juno|north|frame|61|paid
1599|juno|east|pump|33|held
1872|cobalt|south|gasket|97|pending
1880|cobalt|west|panel|80|paid
1719|harbor|east|rotor|44|pending
1346|fulton|south|sensor|64|shipped
1038|fulton|north|pump|98|pending
1605|juno|north|sensor|68|shipped
1521|harbor|south|sensor|94|paid
1733|dorian|north|rotor|87|paid
1530|dorian|west|pump|70|pending
1357|fulton|west|panel|37|shipped
1886|acme|west|panel|99|shipped
1339|fulton|south|gasket|77|paid
1723|cobalt|south|valve|46|held
1195|birch|west|pump|16|shipped
1412|acme|east|cable|68|shipped
1763|cobalt|south|rotor|53|pending
1589|ionic|south|panel|41|paid
1663|gale|south|pump|57|held
1303|ember|north|frame|33|paid
1537|acme|south|sensor|78|paid
1294|acme|north|cable|84|paid
1090|juno|east|rotor|33|held
1252|cobalt|west|rotor|85|paid
1319|harbor|west|sensor|22|shipped
1202|fulton|east|cable|98|paid
1025|fulton|west|frame|52|pending
1707|fulton|north|sensor|51|paid
1345|ember|east|frame|32|held
1394|cobalt|west|pump|99|pending
1184|acme|south|cable|47|pending
1951|harbor|east|panel|42|held
1368|acme|west|frame|41|shipped
1122|birch|south|gasket|29|paid
1086|acme|east|panel|46|held
1229|ionic|north|pump|87|paid
1241|acme|west|pump|24|shipped
1458|ionic|south|rotor|25|held
1097|cobalt|west|pump|15|shipped
1342|ember|west|pump|58|shipped
1278|dorian|south|valve|81|shipped
1976|ember|east|rotor|73|paid
1288|birch|east|panel|77|pending
1593|juno|east|sensor|60|pending
1565|cobalt|south|panel|46|shipped
1425|harbor|south|rotor|28|held
1502|ionic|east|rotor|61|paid
1509|birch|east|gasket|54|held
1377|harbor|south|valve|12|pending
1246|ember|south|gasket|64|held
1265|dorian|east|pump|12|paid
1759|cobalt|east|valve|26|shipped
1781|fulton|north|valve|39|held
1471|harbor|north|gasket|49|held
1621|fulton|west|gasket|93|pending
1929|acme|east|rotor|99|paid
1128|gale|south|frame|73|pending
1310|harbor|south|valve|33|paid
1036|fulton|west|gasket|41|pending
1948|ember|west|sensor|79|paid
1682|acme|north|sensor|90|paid
1957|ionic|south|cable|98|pending
1112|gale|west|rotor|17|held
1044|fulton|west|pump|29|pending
1803|acme|east|gasket|91|paid
1299|harbor|west|sensor|37|held
1466|gale|north|rotor|35|shipped
1127|birch|east|pump|19|paid
1967|dorian|east|frame|64|paid
1203|harbor|west|pump|17|pending
1787|fulton|south|cable|71|held
1158|birch|north|valve|34|held
1591|gale|west|rotor|91|held
1372|birch|east|panel|20|shipped
1327|acme|south|valve|51|held
1034|fulton|west|sensor|72|paid
1834|fulton|south|sensor|37|shipped
1676|fulton|east|gasket|64|pending
1132|gale|north|frame|19|shipped
1118|birch|north|gasket|98|held
1906|dorian|south|panel|20|paid
1800|acme|west|valve|90|paid
1043|fulton|west|valve|66|shipped
1529|birch|south|pump|95|held
1214|ionic|north|valve|47|paid
1160|dorian|east|panel|81|shipped
1415|cobalt|south|panel|71|shipped
1154|dorian|east|gasket|45|pending
1836|ember|west|rotor|42|paid
1915|fulton|west|gasket|21|paid
1863|harbor|east|panel|57|shipped
1686|cobalt|west|gasket|58|held
1028|fulton|north|panel|61|pending
1406|ionic|south|pump|98|pending
1757|fulton|west|panel|64|shipped
1562|cobalt|south|cable|23|paid
1804|harbor|west|gasket|80|paid
1224|ionic|east|valve|82|held
1698|harbor|south|gasket|47|paid
1217|harbor|west|sensor|74|held
1245|dorian|south|gasket|62|paid
1312|ember|north|valve|47|paid
1952|dorian|west|panel|50|paid
1351|gale|west|sensor|91|held
1258|juno|north|panel|75|shipped
1493|ionic|east|panel|38|held
1492|juno|north|panel|33|pending
1646|acme|south|gasket|55|paid
1711|ionic|south|frame|44|paid
1924|cobalt|west|pump|51|shipped
1432|cobalt|south|cable|62|held
1330|acme|east|valve|45|held
1673|ionic|west|cable|30|pending
1677|juno|north|pump|61|shipped
1861|ionic|south|rotor|81|held
1705|acme|north|frame|61|held
1328|ionic|south|frame|11|shipped
1450|acme|north|sensor|53|paid
1778|dorian|north|gasket|47|pending
1815|dorian|north|gasket|32|shipped
1642|ionic|west|frame|66|paid
1624|dorian|north|gasket|80|shipped
1315|cobalt|west|frame|40|pending
1788|ionic|south|frame|82|shipped
1113|gale|west|cable|76|held
1290|acme|south|frame|28|paid
1772|birch|south|gasket|81|shipped
1812|harbor|west|valve|65|held
1340|birch|east|sensor|70|held
1855|ember|east|pump|51|pending
1455|ember|south|frame|14|held
1730|dorian|south|sensor|35|paid
1281|gale|east|panel|12|paid
1445|harbor|north|pump|79|held
1298|ionic|east|pump|97|shipped
1793|juno|north|rotor|98|held
1103|ionic|south|panel|30|paid
1046|fulton|north|pump|10|pending
1622|cobalt|north|pump|34|held
1254|juno|east|frame|62|held
1767|fulton|south|panel|40|shipped
1579|cobalt|east|cable|39|pending
1079|gale|north|cable|62|shipped
1437|dorian|south|panel|31|paid
1835|cobalt|north|rotor|18|shipped
1550|cobalt|north|panel|63|pending
1384|acme|south|cable|25|held
1438|cobalt|east|sensor|22|held
1556|birch|south|panel|30|held
1709|birch|east|gasket|39|pending
1669|gale|west|cable|32|paid
1188|fulton|east|rotor|20|pending
1109|ember|north|rotor|79|shipped
1869|cobalt|north|cable|40|paid
1582|ionic|north|cable|65|pending
1115|acme|east|frame|95|paid
1485|birch|west|cable|62|held
1013|fulton|north|frame|64|pending
1233|acme|north|pump|20|paid
1690|ionic|north|gasket|63|shipped
1307|ember|south|pump|27|shipped
1820|fulton|east|rotor|27|paid
1912|ionic|east|gasket|35|held
1943|dorian|west|valve|29|paid
1630|cobalt|east|pump|62|held
1875|dorian|north|cable|59|shipped
1020|fulton|west|gasket|14|held
1414|ember|south|sensor|84|paid
1365|gale|west|valve|65|held
1060|fulton|west|rotor|22|shipped
1973|cobalt|west|gasket|87|paid
1987|ionic|west|gasket|13|pending
1612|ionic|south|sensor|72|pending
1073|harbor|east|cable|83|pending
1894|ember|north|frame|53|shipped
1325|acme|south|frame|39|pending
1691|gale|south|rotor|43|shipped
1429|ember|north|valve|74|shipped
1900|acme|south|valve|36|paid
1430|ionic|west|cable|50|held
1544|ember|south|frame|84|held
1350|dorian|north|sensor|14|pending
1391|ionic|west|pump|44|shipped
1809|dorian|south|pump|89|held
1300|ember|east|sensor|88|shipped
1528|acme|north|pump|14|paid
1082|ember|south|sensor|71|pending
1440|fulton|south|pump|67|pending
1970|ember|south|gasket|62|held
1738|acme|north|valve|24|shipped
1660|acme|west|cable|53|held
1505|juno|north|sensor|83|pending
1917|dorian|south|valve|71|paid
1892|cobalt|east|panel|72|shipped
1066|juno|east|rotor|94|held
1569|birch|south|pump|40|shipped
1421|harbor|east|panel|28|pending
1234|gale|east|pump|45|paid
1712|acme|west|valve|64|shipped
1181|birch|west|valve|79|shipped
1753|acme|east|cable|12|pending
1515|acme|south|frame|33|paid
1147|harbor|west|frame|11|pending
1354|cobalt|east|frame|10|pending
1503|ember|west|frame|94|shipped
1419|fulton|south|pump|42|shipped
1169|ionic|south|gasket|45|held
1576|fulton|east|rotor|15|held
1396|birch|north|panel|58|pending
1272|dorian|south|frame|52|held
1538|ember|west|frame|71|held
1597|ember|west|pump|89|pending
1140|dorian|south|frame|65|held
1054|fulton|west|frame|43|pending
1106|juno|north|valve|93|pending
1364|harbor|west|gasket|57|pending
1590|birch|east|rotor|85|pending
1008|fulton|west|pump|45|pending
1524|dorian|west|rotor|43|pending
1824|fulton|east|frame|95|paid
1615|fulton|south|valve|71|shipped
1981|cobalt|west|rotor|21|shipped
1289|cobalt|west|frame|93|paid
1359|juno|west|rotor|78|held
1133|cobalt|north|frame|50|paid
1399|ember|south|frame|53|held
1936|dorian|south|frame|55|shipped
1845|ember|east|gasket|60|shipped
1760|gale|west|valve|77|shipped
1776|fulton|south|sensor|39|held
1831|harbor|west|panel|80|shipped
1898|ionic|east|sensor|53|paid
1791|acme|south|cable|16|shipped
1838|cobalt|west|cable|44|shipped
1851|fulton|south|valve|49|shipped
1167|cobalt|east|rotor|98|pending
1508|fulton|south|cable|76|held
1941|dorian|east|frame|20|held
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "fulton" AND region = "west" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 58, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.
Output the full ordered sequence of tool calls as a JSON array of {"tool": string, "args": object}.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool":"cancel_order","args":{"order_id":1044}},
{"tool":"cancel_order","args":{"order_id":1621}},
{"tool":"cancel_order","args":{"order_id":1949}}
]wrongagentic.tools.deploy-v1conf 98% · 1.6s · $0.000 · 116 tok
question
You are a release agent operating strictly through tool calls.
TOOL CATALOG:
- deploy(service: string) — deploys a service; FAILS if any dependency is not yet deployed
- health_check(service: string) — runs a post-deploy health probe
- rollback(service: string) — reverts a bad deploy (nothing fails in this scenario)
- scale(service: string, replicas: int) — changes replica count (out of scope)
- restart(service: string) — restarts a service (out of scope)
SERVICES AND THEIR DEPENDENCIES (a service can only be deployed after ALL its dependencies):
- billing: reports
- reports: search
- search: (none)
- notifier: search
POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "billing" is flagged unstable: call health_check on it immediately after deploying it.
- Call nothing else.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool":"deploy","args":{"service":"search"}},
{"tool":"health_check","args":{"service":"search"}},
{"tool":"deploy","args":{"service":"notifier"}},
{"tool":"health_check","args":{"service":"notifier"}},
{"tool":"deploy","args":{"service":"reports"}},
{"tool":"health_check","args":{"service":"reports"}},
{"tool":"deploy","args":{"service":"billing"}},
{"tool":"health_check","args":{"service":"billing"}}
]wrongagentic.tools.ledger-v1conf 100% · 1.8s · $0.001 · 136 tok
question
You are a treasury agent operating strictly through tool calls.
TOOL CATALOG:
- transfer(from: string, to: string, amount: int) — moves funds between accounts; FAILS if it would overdraw the source
- top_up_from_reserve(account: string, amount: int) — adds funds to an account from the corporate reserve
- get_balance(account: string) — reads a balance (you already have all balances below — reads are unnecessary and forbidden)
- freeze_account(account: string) — compliance freeze (not part of this task)
- convert_currency(account: string, currency: string) — FX conversion (all amounts are already in USD)
OPENING BALANCES:
- bravo: $487
- alpha: $590
- delta: $837
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $158 from "bravo" to "alpha"
2. pay $547 from "alpha" to "delta"
3. pay $512 from "alpha" to "bravo"
4. pay $295 from "bravo" to "delta"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool":"transfer","args":{"from":"bravo","to":"alpha","amount":158}},
{"tool":"top_up_from_reserve","args":{"account":"alpha","amount":77}},
{"tool":"transfer","args":{"from":"alpha","to":"delta","amount":547}},
{"tool":"top_up_from_reserve","args":{"account":"alpha","amount":512}},
{"tool":"transfer","args":{"from":"alpha","to":"bravo","amount":512}},
{"tool":"transfer","args":{"from":"bravo","to":"delta","amount":295}}
]correctagentic.tools.triage-v1conf 99% · 1.8s · $0.001 · 183 tok
question
You operate a support desk strictly through tool calls.
TOOL CATALOG:
- create_ticket(title: string, priority: int) — opens a ticket; IDs are assigned sequentially: the 1st created ticket is "TCK-1", the 2nd "TCK-2", etc.
- assign(ticket_id: string, agent: string) — assigns an open ticket to an agent
- escalate(ticket_id: string) — marks a ticket as escalated
- close_ticket(ticket_id: string, resolution: string) — closes a ticket with a resolution note
- send_email(to: string, body: string) — sends an email (not part of the triage policy)
- archive_ticket(ticket_id: string) — archives a closed ticket (nightly job does this automatically)
- set_reminder(ticket_id: string, hours: int) — sets a follow-up reminder
ROUTING POLICY (apply exactly, in this order, for each incident, processing incidents in the order listed):
1. Create a ticket for the incident (title = the incident text verbatim, priority as given).
2. If the incident is an exact duplicate of an earlier incident in this list, close its ticket immediately with resolution "duplicate of <ID of the earlier ticket>" and do nothing else for it.
3. Otherwise, if priority ≥ 7, escalate the ticket BEFORE assigning it.
4. Assign the ticket to the agent responsible for its category.
CATEGORY → AGENT:
- auth → silva
- data → dubois
- infra → novak
INCIDENTS:
1. "SSO loop on login" (category: auth, priority 2)
2. "export file corrupted" (category: data, priority 6)
3. "SSO loop on login" (category: auth, priority 2)
4. "cannot reset password" (category: auth, priority 3)
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool":"create_ticket","args":{"title":"SSO loop on login","priority":2}},
{"tool":"assign","args":{"ticket_id":"TCK-1","agent":"silva"}},
{"tool":"create_ticket","args":{"title":"export file corrupted","priority":6}},
{"tool":"assign","args":{"ticket_id":"TCK-2","agent":"dubois"}},
{"tool":"create_ticket","args":{"title":"SSO loop on login","priority":2}},
{"tool":"close_ticket","args":{"ticket_id":"TCK-3","resolution":"duplicate of TCK-1"}},
{"tool":"create_ticket","args":{"title":"cannot reset password","priority":3}},
{"tool":"assign","args":{"ticket_id":"TCK-4","agent":"silva"}}
]wrongagentic.tools.context-load-v1conf 100% · 1.9s · $0.003 · 118 tok
question
You are an order-operations agent working strictly through tool calls.
TOOL CATALOG:
- restock(item: string, qty: int) — reorders stock for a large pending order
- cancel_order(order_id: int) — cancels a small pending order
- ship_order(order_id: int) — ships a paid order (out of scope here)
- refund(order_id: int, amount: int) — refunds a customer (out of scope here)
- notify_customer(customer: string, message: string) — sends a notification (not required by this policy)
ORDER LEDGER (155 records, format: id|customer|region|item|qty|status):
```
1805|fulton|west|gasket|11|held
1913|birch|south|pump|57|held
1738|ember|north|sensor|89|pending
2022|ember|north|pump|58|paid
1464|harbor|south|pump|54|shipped
1767|dorian|west|frame|86|pending
1877|birch|east|rotor|74|held
1773|cobalt|north|panel|74|paid
1837|dorian|south|panel|36|shipped
1427|harbor|south|panel|30|pending
1754|juno|east|gasket|71|held
1616|dorian|north|frame|38|paid
1936|fulton|east|frame|20|held
1457|harbor|south|valve|78|pending
1978|harbor|north|frame|46|shipped
1473|harbor|north|panel|82|paid
1561|juno|east|pump|30|paid
1582|ionic|south|gasket|38|held
1420|harbor|south|frame|15|shipped
1549|fulton|north|panel|34|shipped
1862|acme|north|valve|90|held
1407|harbor|north|cable|66|pending
1985|ember|north|gasket|40|paid
1621|ionic|west|valve|49|held
1886|acme|south|pump|86|pending
1641|gale|west|gasket|47|shipped
1703|dorian|east|frame|10|shipped
1801|acme|west|gasket|56|held
1498|gale|south|gasket|70|paid
1808|fulton|north|panel|15|held
1961|gale|north|frame|10|held
1635|cobalt|east|cable|45|held
1890|dorian|north|sensor|96|shipped
1491|fulton|north|frame|58|shipped
1947|dorian|east|panel|72|pending
2024|birch|south|valve|61|shipped
2009|ember|south|valve|22|held
1542|gale|north|sensor|84|pending
1851|juno|east|rotor|16|shipped
1592|ember|north|sensor|98|pending
1952|fulton|east|panel|22|pending
1508|dorian|south|sensor|43|pending
1783|birch|south|panel|76|shipped
1821|harbor|south|rotor|60|paid
1514|acme|east|rotor|31|held
1864|ember|east|cable|94|shipped
1810|harbor|north|pump|16|shipped
1627|ember|north|gasket|26|pending
1441|harbor|south|valve|61|pending
1879|birch|north|pump|25|pending
1825|harbor|north|cable|12|pending
1714|harbor|east|valve|83|pending
1517|cobalt|east|cable|77|held
1680|juno|south|panel|67|shipped
1451|harbor|south|panel|49|paid
1798|ionic|north|pump|97|held
1792|cobalt|west|rotor|32|shipped
1815|acme|south|valve|21|pending
1933|cobalt|east|sensor|87|held
1955|gale|north|sensor|28|paid
1648|acme|west|sensor|81|held
1602|gale|east|sensor|15|pending
1690|gale|east|frame|60|held
1777|gale|east|pump|31|held
1696|harbor|south|rotor|29|shipped
1665|cobalt|east|rotor|99|pending
1683|gale|west|rotor|78|paid
1901|cobalt|north|sensor|53|pending
1560|acme|east|sensor|68|shipped
1493|birch|south|frame|40|held
1610|birch|south|pump|25|shipped
1462|harbor|east|cable|51|pending
1975|birch|west|rotor|31|paid
1819|acme|east|frame|17|pending
1844|harbor|west|gasket|96|held
1857|birch|north|pump|87|shipped
1927|juno|west|frame|92|held
1576|cobalt|south|panel|23|pending
1997|fulton|east|panel|91|paid
1518|birch|north|valve|48|paid
1688|birch|south|gasket|30|paid
1747|cobalt|east|cable|38|pending
1607|ember|north|cable|41|pending
1595|gale|east|valve|41|shipped
1444|harbor|north|valve|69|pending
1725|harbor|east|gasket|21|pending
1967|birch|west|sensor|50|shipped
1589|ionic|north|rotor|82|paid
1915|juno|west|frame|33|pending
1557|ionic|south|pump|75|paid
1539|cobalt|north|cable|57|pending
1577|acme|north|sensor|34|shipped
1474|ember|east|panel|64|paid
1730|juno|east|cable|24|paid
2006|harbor|west|pump|13|pending
1806|acme|east|cable|32|shipped
1758|birch|west|frame|99|held
1413|harbor|west|pump|47|pending
1439|harbor|south|cable|13|paid
1889|gale|west|pump|29|paid
1676|birch|east|pump|52|pending
1632|acme|west|cable|55|held
1619|cobalt|north|valve|74|pending
1527|ember|east|frame|71|paid
1971|birch|north|frame|36|shipped
1433|harbor|west|frame|44|pending
1880|fulton|south|gasket|49|shipped
1740|acme|west|gasket|35|held
2015|dorian|west|cable|99|held
1522|cobalt|south|rotor|22|held
1467|dorian|west|rotor|16|held
1876|fulton|east|valve|50|held
1816|ember|west|cable|70|paid
1757|ember|north|cable|20|shipped
1411|harbor|south|panel|75|pending
1654|cobalt|south|panel|37|shipped
1831|gale|south|panel|96|pending
1718|cobalt|east|pump|35|pending
1755|fulton|north|panel|64|pending
1998|harbor|north|valve|31|paid
1637|gale|north|pump|26|paid
1908|dorian|east|gasket|27|held
1925|ionic|north|valve|75|shipped
1553|ember|south|frame|41|pending
1855|fulton|south|sensor|77|shipped
1534|ionic|east|pump|84|pending
1843|ionic|east|panel|39|pending
1708|ionic|east|sensor|54|held
1570|harbor|east|pump|57|shipped
1487|birch|south|gasket|34|paid
1404|harbor|south|valve|90|pending
1502|cobalt|north|pump|17|paid
1779|birch|south|pump|66|held
1732|cobalt|west|pump|54|shipped
1941|juno|west|rotor|17|held
1661|gale|west|rotor|11|pending
1849|juno|north|pump|91|shipped
1760|acme|east|frame|92|held
1529|juno|east|cable|27|paid
1918|birch|south|valve|57|held
2000|dorian|east|valve|47|pending
1564|acme|east|frame|83|shipped
1480|cobalt|south|pump|15|shipped
1584|harbor|south|valve|55|pending
1990|birch|north|cable|21|pending
1897|acme|north|rotor|17|pending
2031|acme|east|cable|55|pending
1871|birch|south|pump|39|pending
1824|juno|north|rotor|13|held
1809|gale|east|pump|41|held
1878|acme|east|panel|75|shipped
1789|dorian|south|valve|69|shipped
1669|acme|south|frame|30|held
1409|harbor|south|frame|96|paid
1702|birch|south|pump|72|paid
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "harbor" AND region = "south" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 56, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.
Output the full ordered sequence of tool calls as a JSON array of {"tool": string, "args": object}.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool":"cancel_order","args":{"order_id":1427}},
{"tool":"cancel_order","args":{"order_id":1441}},
{"tool":"cancel_order","args":{"order_id":1457}},
{"tool":"cancel_order","args":{"order_id":1584}},
{"tool":"cancel_order","args":{"order_id":1714}},
{"tool":"cancel_order","args":{"order_id":1831}},
{"tool":"cancel_order","args":{"order_id":2006}}
]correctagentic.tools.deploy-v1conf 98% · 1.7s · $0.000 · 76 tok
question
You are a release agent operating strictly through tool calls.
TOOL CATALOG:
- deploy(service: string) — deploys a service; FAILS if any dependency is not yet deployed
- health_check(service: string) — runs a post-deploy health probe
- rollback(service: string) — reverts a bad deploy (nothing fails in this scenario)
- scale(service: string, replicas: int) — changes replica count (out of scope)
- restart(service: string) — restarts a service (out of scope)
SERVICES AND THEIR DEPENDENCIES (a service can only be deployed after ALL its dependencies):
- notifier: search
- search: billing, reports
- billing: (none)
- reports: billing
POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "billing" is flagged unstable: call health_check on it immediately after deploying it.
- Call nothing else.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool":"deploy","args":{"service":"billing"}},
{"tool":"health_check","args":{"service":"billing"}},
{"tool":"deploy","args":{"service":"reports"}},
{"tool":"deploy","args":{"service":"search"}},
{"tool":"deploy","args":{"service":"notifier"}}
]correctagentic.tools.triage-v1conf 98% · 5.3s · $0.001 · 181 tok
question
You operate a support desk strictly through tool calls.
TOOL CATALOG:
- create_ticket(title: string, priority: int) — opens a ticket; IDs are assigned sequentially: the 1st created ticket is "TCK-1", the 2nd "TCK-2", etc.
- assign(ticket_id: string, agent: string) — assigns an open ticket to an agent
- escalate(ticket_id: string) — marks a ticket as escalated
- close_ticket(ticket_id: string, resolution: string) — closes a ticket with a resolution note
- send_email(to: string, body: string) — sends an email (not part of the triage policy)
- archive_ticket(ticket_id: string) — archives a closed ticket (nightly job does this automatically)
- set_reminder(ticket_id: string, hours: int) — sets a follow-up reminder
ROUTING POLICY (apply exactly, in this order, for each incident, processing incidents in the order listed):
1. Create a ticket for the incident (title = the incident text verbatim, priority as given).
2. If the incident is an exact duplicate of an earlier incident in this list, close its ticket immediately with resolution "duplicate of <ID of the earlier ticket>" and do nothing else for it.
3. Otherwise, if priority ≥ 9, escalate the ticket BEFORE assigning it.
4. Assign the ticket to the agent responsible for its category.
CATEGORY → AGENT:
- payments → novak
- data → dubois
- infra → chen
INCIDENTS:
1. "invoice total wrong" (category: payments, priority 7)
2. "records missing after import" (category: data, priority 3)
3. "uploads failing intermittently" (category: infra, priority 8)
4. "records missing after import" (category: data, priority 3)
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool":"create_ticket","args":{"title":"invoice total wrong","priority":7}},
{"tool":"assign","args":{"ticket_id":"TCK-1","agent":"novak"}},
{"tool":"create_ticket","args":{"title":"records missing after import","priority":3}},
{"tool":"assign","args":{"ticket_id":"TCK-2","agent":"dubois"}},
{"tool":"create_ticket","args":{"title":"uploads failing intermittently","priority":8}},
{"tool":"assign","args":{"ticket_id":"TCK-3","agent":"chen"}},
{"tool":"create_ticket","args":{"title":"records missing after import","priority":3}},
{"tool":"close_ticket","args":{"ticket_id":"TCK-4","resolution":"duplicate of TCK-2"}}
]correctagentic.tools.ledger-v1conf 98% · 1.4s · $0.001 · 122 tok
question
You are a treasury agent operating strictly through tool calls.
TOOL CATALOG:
- transfer(from: string, to: string, amount: int) — moves funds between accounts; FAILS if it would overdraw the source
- top_up_from_reserve(account: string, amount: int) — adds funds to an account from the corporate reserve
- get_balance(account: string) — reads a balance (you already have all balances below — reads are unnecessary and forbidden)
- freeze_account(account: string) — compliance freeze (not part of this task)
- convert_currency(account: string, currency: string) — FX conversion (all amounts are already in USD)
OPENING BALANCES:
- lima: $457
- kilo: $408
- bravo: $335
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $125 from "kilo" to "lima"
2. pay $160 from "bravo" to "lima"
3. pay $130 from "kilo" to "bravo"
4. pay $546 from "kilo" to "lima"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool":"transfer","args":{"from":"kilo","to":"lima","amount":125}},
{"tool":"transfer","args":{"from":"bravo","to":"lima","amount":160}},
{"tool":"transfer","args":{"from":"kilo","to":"bravo","amount":130}},
{"tool":"top_up_from_reserve","args":{"account":"kilo","amount":393}},
{"tool":"transfer","args":{"from":"kilo","to":"lima","amount":546}}
]wrongagentic.tools.context-load-v1conf 100% · 1.9s · $0.003 · 12 tok
question
You are an order-operations agent working strictly through tool calls.
TOOL CATALOG:
- restock(item: string, qty: int) — reorders stock for a large pending order
- cancel_order(order_id: int) — cancels a small pending order
- ship_order(order_id: int) — ships a paid order (out of scope here)
- refund(order_id: int, amount: int) — refunds a customer (out of scope here)
- notify_customer(customer: string, message: string) — sends a notification (not required by this policy)
ORDER LEDGER (192 records, format: id|customer|region|item|qty|status):
```
1660|ember|east|valve|46|pending
1880|cobalt|south|gasket|93|paid
1651|birch|north|panel|98|shipped
1765|cobalt|north|gasket|77|shipped
1265|dorian|south|sensor|15|pending
1882|fulton|west|rotor|73|paid
1422|harbor|west|frame|52|pending
1643|ionic|south|gasket|40|shipped
1819|dorian|east|valve|57|paid
1311|acme|north|sensor|96|pending
1759|gale|west|pump|20|paid
1564|gale|west|valve|46|paid
1438|cobalt|north|cable|50|held
1404|cobalt|south|gasket|58|pending
1511|ionic|east|rotor|19|shipped
1482|acme|west|panel|75|shipped
1754|birch|south|sensor|57|held
1731|dorian|east|pump|99|shipped
1792|dorian|west|frame|59|paid
1580|cobalt|east|rotor|14|held
1661|fulton|north|sensor|30|held
1411|gale|north|panel|83|held
1250|ionic|south|pump|71|pending
1671|juno|west|frame|82|pending
1237|dorian|east|valve|61|shipped
1626|birch|west|cable|87|pending
1428|fulton|south|rotor|17|pending
1281|dorian|south|sensor|77|held
1610|harbor|south|valve|62|held
1317|dorian|east|gasket|32|held
1722|ember|east|frame|24|shipped
1489|dorian|east|sensor|35|shipped
1570|birch|east|sensor|79|shipped
1254|juno|south|panel|13|pending
1914|fulton|west|sensor|89|shipped
1910|harbor|west|pump|76|paid
1357|cobalt|north|sensor|85|shipped
1833|birch|east|rotor|47|shipped
1872|acme|east|sensor|40|shipped
1342|ionic|west|gasket|81|paid
1766|ember|north|rotor|65|shipped
1524|gale|west|gasket|59|paid
1193|fulton|east|cable|68|held
1775|harbor|west|pump|75|paid
1364|harbor|north|rotor|48|shipped
1712|birch|south|frame|31|held
1191|fulton|east|panel|73|pending
1487|dorian|east|frame|90|paid
1447|acme|west|panel|22|shipped
1652|ionic|west|frame|22|shipped
1231|cobalt|south|sensor|22|held
1847|fulton|south|panel|91|shipped
1431|ember|south|frame|38|shipped
1786|cobalt|west|pump|44|shipped
1485|acme|east|panel|66|shipped
1207|fulton|north|cable|31|pending
1517|cobalt|north|rotor|11|paid
1806|gale|east|frame|38|pending
1332|juno|south|cable|28|shipped
1175|fulton|east|cable|70|pending
1559|juno|north|cable|78|pending
1565|gale|east|pump|79|paid
1196|fulton|east|panel|39|shipped
1799|dorian|south|rotor|78|pending
1302|acme|east|cable|30|paid
1807|cobalt|south|frame|27|held
1400|fulton|north|valve|59|shipped
1586|ionic|west|gasket|20|shipped
1473|ionic|east|gasket|28|held
1202|fulton|east|valve|52|pending
1194|fulton|east|gasket|44|pending
1402|birch|north|sensor|94|held
1922|ionic|north|rotor|92|pending
1409|juno|south|valve|48|pending
1474|ionic|west|valve|95|held
1541|ember|north|valve|96|paid
1825|dorian|east|sensor|73|shipped
1385|gale|west|panel|49|shipped
1631|cobalt|east|valve|45|held
1782|cobalt|west|gasket|27|paid
1928|fulton|east|frame|10|shipped
1271|gale|south|pump|91|pending
1923|gale|east|panel|63|shipped
1599|juno|east|gasket|90|held
1459|harbor|south|sensor|46|shipped
1208|fulton|east|sensor|57|shipped
1749|fulton|south|sensor|38|held
1181|fulton|south|rotor|34|pending
1502|juno|west|panel|92|held
1863|ember|north|rotor|48|pending
1593|dorian|south|sensor|81|shipped
1681|cobalt|east|rotor|98|paid
1225|ember|west|pump|35|paid
1620|dorian|north|valve|54|held
1820|juno|west|cable|45|paid
1665|birch|east|rotor|88|pending
1838|ionic|east|frame|39|paid
1331|juno|south|sensor|41|shipped
1784|acme|west|sensor|66|pending
1384|dorian|east|valve|70|held
1390|dorian|east|gasket|54|pending
1687|acme|north|frame|75|paid
1740|dorian|north|valve|67|held
1408|harbor|north|rotor|18|paid
1831|acme|north|frame|58|shipped
1535|gale|east|cable|41|pending
1735|ember|west|pump|78|pending
1878|harbor|west|panel|61|paid
1598|harbor|west|sensor|56|shipped
1232|ionic|east|pump|16|paid
1337|harbor|north|panel|31|paid
1195|fulton|west|cable|31|pending
1816|birch|south|pump|19|paid
1288|acme|west|pump|77|held
1552|gale|east|gasket|29|paid
1903|juno|east|pump|86|pending
1895|cobalt|east|rotor|89|shipped
1452|acme|north|frame|85|shipped
1215|ionic|south|cable|11|held
1298|ionic|south|cable|75|pending
1815|birch|south|rotor|48|paid
1396|gale|west|gasket|43|pending
1255|gale|south|rotor|20|pending
1591|acme|south|panel|42|held
1785|cobalt|west|rotor|93|pending
1645|dorian|west|sensor|77|paid
1708|gale|north|frame|71|pending
1192|fulton|north|pump|98|pending
1377|ember|north|gasket|77|shipped
1916|fulton|north|pump|85|paid
1224|harbor|north|gasket|43|paid
1532|fulton|west|sensor|11|shipped
1466|harbor|east|valve|85|pending
1613|acme|north|panel|78|paid
1372|dorian|south|frame|17|pending
1368|dorian|north|gasket|49|pending
1813|gale|south|frame|14|held
1417|acme|east|cable|76|paid
1241|ionic|south|sensor|81|paid
1324|ionic|south|gasket|35|held
1369|ember|south|panel|97|paid
1637|harbor|north|panel|91|shipped
1600|birch|south|frame|68|pending
1889|dorian|west|gasket|60|pending
1689|fulton|south|gasket|35|paid
1836|fulton|east|valve|43|pending
1349|ionic|east|panel|48|pending
1383|ionic|south|pump|11|paid
1476|birch|south|rotor|26|paid
1932|dorian|north|rotor|11|pending
1935|harbor|east|rotor|75|held
1217|juno|east|valve|72|held
1212|birch|south|cable|71|held
1657|cobalt|east|sensor|94|pending
1244|acme|south|gasket|60|held
1770|cobalt|north|rotor|67|held
1607|juno|west|gasket|56|pending
1900|gale|south|gasket|80|shipped
1840|fulton|east|sensor|36|shipped
1555|ember|north|pump|84|paid
1757|ember|north|pump|95|pending
1745|ember|east|sensor|70|shipped
1701|cobalt|north|rotor|62|held
1834|cobalt|south|cable|32|pending
1931|dorian|south|frame|73|held
1859|fulton|east|valve|40|pending
1531|fulton|south|cable|51|paid
1576|birch|north|panel|93|paid
1522|ember|north|frame|62|shipped
1550|fulton|east|rotor|76|held
1694|acme|east|frame|23|paid
1352|acme|south|panel|76|shipped
1185|fulton|east|gasket|51|paid
1726|gale|south|cable|41|pending
1870|harbor|west|frame|91|held
1561|ionic|north|frame|30|held
1446|fulton|west|panel|52|pending
1663|cobalt|south|pump|87|held
1509|birch|south|gasket|78|pending
1854|birch|west|gasket|67|pending
1210|acme|south|frame|77|shipped
1260|juno|north|sensor|90|pending
1360|ember|east|gasket|44|held
1308|dorian|east|panel|14|held
1292|cobalt|north|panel|31|shipped
1275|ember|north|gasket|40|shipped
1544|gale|east|cable|30|pending
1715|ionic|east|sensor|41|held
1495|gale|east|cable|96|held
1445|juno|north|gasket|79|pending
1676|ionic|south|sensor|54|held
1633|gale|north|frame|28|pending
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "fulton" AND region = "east" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 64, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.
Output the full ordered sequence of tool calls as a JSON array of {"tool": string, "args": object}.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[]correctagentic.tools.deploy-v1conf 99% · 1.9s · $0.000 · 78 tok
question
You are a release agent operating strictly through tool calls.
TOOL CATALOG:
- deploy(service: string) — deploys a service; FAILS if any dependency is not yet deployed
- health_check(service: string) — runs a post-deploy health probe
- rollback(service: string) — reverts a bad deploy (nothing fails in this scenario)
- scale(service: string, replicas: int) — changes replica count (out of scope)
- restart(service: string) — restarts a service (out of scope)
SERVICES AND THEIR DEPENDENCIES (a service can only be deployed after ALL its dependencies):
- gateway: notifier
- reports: notifier
- auth-svc: gateway, notifier
- notifier: (none)
POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "reports" is flagged unstable: call health_check on it immediately after deploying it.
- Call nothing else.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool":"deploy","args":{"service":"notifier"}},
{"tool":"deploy","args":{"service":"gateway"}},
{"tool":"deploy","args":{"service":"reports"}},
{"tool":"health_check","args":{"service":"reports"}},
{"tool":"deploy","args":{"service":"auth-svc"}}
]wrongagentic.tools.ledger-v1conf 99% · 933ms · $0.001 · 201 tok
question
You are a treasury agent operating strictly through tool calls.
TOOL CATALOG:
- transfer(from: string, to: string, amount: int) — moves funds between accounts; FAILS if it would overdraw the source
- top_up_from_reserve(account: string, amount: int) — adds funds to an account from the corporate reserve
- get_balance(account: string) — reads a balance (you already have all balances below — reads are unnecessary and forbidden)
- freeze_account(account: string) — compliance freeze (not part of this task)
- convert_currency(account: string, currency: string) — FX conversion (all amounts are already in USD)
OPENING BALANCES:
- delta: $419
- echo: $516
- kilo: $306
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $533 from "kilo" to "echo"
2. pay $313 from "kilo" to "echo"
3. pay $325 from "kilo" to "echo"
4. pay $236 from "echo" to "kilo"
5. pay $505 from "delta" to "kilo"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool":"top_up_from_reserve","args":{"account":"kilo","amount":227}},
{"tool":"transfer","args":{"from":"kilo","to":"echo","amount":533}},
{"tool":"top_up_from_reserve","args":{"account":"kilo","amount":313}},
{"tool":"transfer","args":{"from":"kilo","to":"echo","amount":313}},
{"tool":"top_up_from_reserve","args":{"account":"kilo","amount":325}},
{"tool":"transfer","args":{"from":"kilo","to":"echo","amount":325}},
{"tool":"transfer","args":{"from":"echo","to":"kilo","amount":236}},
{"tool":"top_up_from_reserve","args":{"account":"delta","amount":50}},
{"tool":"transfer","args":{"from":"delta","to":"kilo","amount":505}}
]correctagentic.tools.triage-v1conf 99% · 1.6s · $0.001 · 161 tok
question
You operate a support desk strictly through tool calls.
TOOL CATALOG:
- create_ticket(title: string, priority: int) — opens a ticket; IDs are assigned sequentially: the 1st created ticket is "TCK-1", the 2nd "TCK-2", etc.
- assign(ticket_id: string, agent: string) — assigns an open ticket to an agent
- escalate(ticket_id: string) — marks a ticket as escalated
- close_ticket(ticket_id: string, resolution: string) — closes a ticket with a resolution note
- send_email(to: string, body: string) — sends an email (not part of the triage policy)
- archive_ticket(ticket_id: string) — archives a closed ticket (nightly job does this automatically)
- set_reminder(ticket_id: string, hours: int) — sets a follow-up reminder
ROUTING POLICY (apply exactly, in this order, for each incident, processing incidents in the order listed):
1. Create a ticket for the incident (title = the incident text verbatim, priority as given).
2. If the incident is an exact duplicate of an earlier incident in this list, close its ticket immediately with resolution "duplicate of <ID of the earlier ticket>" and do nothing else for it.
3. Otherwise, if priority ≥ 7, escalate the ticket BEFORE assigning it.
4. Assign the ticket to the agent responsible for its category.
CATEGORY → AGENT:
- data → haddad
- infra → novak
- payments → tanaka
INCIDENTS:
1. "records missing after import" (category: data, priority 7)
2. "records missing after import" (category: data, priority 7)
3. "card declined at checkout" (category: payments, priority 5)
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool":"create_ticket","args":{"title":"records missing after import","priority":7}},
{"tool":"escalate","args":{"ticket_id":"TCK-1"}},
{"tool":"assign","args":{"ticket_id":"TCK-1","agent":"haddad"}},
{"tool":"create_ticket","args":{"title":"records missing after import","priority":7}},
{"tool":"close_ticket","args":{"ticket_id":"TCK-2","resolution":"duplicate of TCK-1"}},
{"tool":"create_ticket","args":{"title":"card declined at checkout","priority":5}},
{"tool":"assign","args":{"ticket_id":"TCK-3","agent":"tanaka"}}
]wrongagentic.tools.context-load-v1conf 97% · 1.1s · $0.005 · 151 tok
question
You are an order-operations agent working strictly through tool calls.
TOOL CATALOG:
- restock(item: string, qty: int) — reorders stock for a large pending order
- cancel_order(order_id: int) — cancels a small pending order
- ship_order(order_id: int) — ships a paid order (out of scope here)
- refund(order_id: int, amount: int) — refunds a customer (out of scope here)
- notify_customer(customer: string, message: string) — sends a notification (not required by this policy)
ORDER LEDGER (292 records, format: id|customer|region|item|qty|status):
```
1746|ember|north|pump|58|held
2047|acme|west|pump|72|shipped
1782|gale|south|gasket|34|pending
1681|ionic|east|rotor|79|shipped
2258|birch|east|sensor|10|paid
1873|cobalt|west|sensor|57|held
2007|harbor|east|gasket|77|shipped
2228|fulton|south|valve|46|paid
2073|fulton|west|panel|68|shipped
2248|harbor|west|pump|28|pending
1266|gale|south|pump|51|shipped
2000|ionic|north|cable|30|held
1416|gale|south|gasket|73|shipped
2359|birch|south|rotor|37|paid
1485|cobalt|south|frame|16|pending
1225|acme|west|gasket|33|held
1343|ionic|east|panel|44|shipped
2092|dorian|west|pump|36|paid
2255|birch|south|cable|78|paid
2186|cobalt|north|valve|77|paid
1864|ionic|south|cable|47|pending
2171|dorian|east|cable|51|paid
1543|gale|north|valve|39|pending
1610|juno|south|sensor|13|shipped
1968|cobalt|north|pump|33|pending
2022|cobalt|south|valve|60|held
1247|ionic|north|panel|68|held
1314|dorian|north|valve|95|shipped
1713|cobalt|north|cable|25|paid
1601|dorian|east|cable|31|held
1775|harbor|west|panel|34|pending
1677|ember|west|panel|47|held
1454|birch|north|rotor|52|shipped
1797|juno|east|gasket|16|shipped
1335|fulton|south|valve|51|shipped
1476|acme|west|sensor|30|shipped
2242|acme|south|panel|70|paid
2338|fulton|west|frame|19|shipped
1658|juno|north|valve|74|shipped
1334|birch|east|panel|67|shipped
1781|fulton|south|sensor|32|paid
2290|harbor|south|valve|57|paid
1741|ember|east|sensor|85|shipped
1547|dorian|north|gasket|65|shipped
1279|juno|east|valve|25|shipped
2279|ionic|north|panel|56|pending
1903|fulton|north|valve|36|held
1986|cobalt|south|cable|82|pending
1748|harbor|south|frame|79|held
1882|harbor|west|gasket|20|shipped
1252|harbor|south|rotor|64|paid
1878|harbor|south|gasket|10|held
1629|birch|west|panel|18|paid
2227|fulton|south|rotor|97|pending
1552|acme|west|gasket|44|paid
2032|cobalt|east|cable|66|paid
1308|fulton|west|cable|89|held
1524|acme|west|frame|68|held
2062|cobalt|north|gasket|15|pending
1564|dorian|east|pump|56|paid
1503|ember|east|rotor|68|pending
1278|ember|west|pump|25|paid
2180|harbor|south|sensor|10|paid
1768|gale|south|frame|60|paid
1771|harbor|north|gasket|15|paid
1637|birch|south|rotor|37|held
1896|juno|west|pump|80|pending
2156|ionic|east|gasket|71|held
2009|gale|north|gasket|47|held
1467|gale|north|frame|54|paid
2147|acme|east|cable|98|held
2216|fulton|east|frame|60|paid
1461|harbor|east|sensor|10|held
1215|gale|north|sensor|38|shipped
1962|dorian|north|sensor|35|pending
1464|cobalt|east|panel|71|shipped
2045|cobalt|south|panel|70|held
2083|ember|west|frame|96|paid
1211|gale|south|pump|98|pending
1349|fulton|east|sensor|80|pending
1220|gale|south|valve|98|pending
2288|dorian|west|pump|31|held
1672|fulton|north|gasket|45|shipped
1530|ionic|north|cable|80|paid
2134|acme|west|rotor|71|shipped
1800|juno|south|gasket|13|paid
1824|fulton|north|sensor|88|paid
1639|fulton|west|valve|28|pending
1273|birch|south|sensor|75|shipped
1907|acme|north|frame|35|shipped
1455|cobalt|east|sensor|85|pending
1851|harbor|east|valve|98|pending
1325|gale|south|pump|73|held
1286|acme|east|sensor|43|held
1945|ionic|north|pump|29|pending
2057|juno|east|frame|43|pending
2090|cobalt|west|frame|80|pending
2307|cobalt|south|cable|32|paid
1479|dorian|east|gasket|50|paid
1856|ionic|north|sensor|45|paid
1370|ember|west|frame|98|pending
1992|birch|east|gasket|56|paid
1262|ember|south|valve|53|shipped
1680|dorian|west|gasket|74|paid
1841|acme|north|sensor|27|held
1650|gale|east|panel|19|shipped
2282|ember|east|sensor|16|held
1230|gale|north|valve|97|pending
1974|dorian|west|rotor|47|pending
2259|dorian|east|sensor|92|shipped
2069|gale|north|frame|64|pending
2343|juno|east|cable|11|shipped
2141|fulton|east|sensor|15|pending
1577|acme|north|gasket|30|paid
1372|gale|south|sensor|89|paid
1949|birch|west|frame|25|held
1187|gale|east|pump|65|pending
1697|birch|west|panel|49|pending
1297|gale|south|valve|93|held
1572|ember|south|rotor|19|shipped
1431|fulton|north|pump|63|pending
1858|acme|north|valve|98|paid
2148|gale|south|valve|44|pending
1284|ember|west|cable|57|shipped
2150|cobalt|east|valve|85|paid
2350|gale|south|panel|76|held
1195|gale|south|cable|18|pending
1708|birch|north|sensor|32|paid
1379|gale|north|gasket|61|pending
2050|fulton|north|cable|19|pending
1400|harbor|west|rotor|75|pending
2077|fulton|west|frame|33|held
2298|ember|north|panel|56|held
1617|ember|north|cable|78|shipped
1889|cobalt|east|frame|72|held
2202|gale|west|pump|20|pending
2222|ionic|north|valve|41|paid
1848|juno|west|gasket|59|pending
2111|dorian|north|sensor|32|pending
1438|harbor|east|gasket|14|shipped
2206|gale|north|frame|25|held
1607|gale|south|gasket|33|pending
1224|gale|north|frame|90|held
1740|gale|south|pump|52|held
1816|ember|east|cable|37|pending
1720|ionic|north|rotor|22|paid
1508|birch|east|panel|93|pending
1626|gale|east|sensor|96|pending
1690|juno|north|rotor|40|paid
2124|ionic|north|gasket|21|shipped
1394|birch|south|valve|62|pending
1240|birch|north|frame|20|paid
2012|acme|west|cable|78|held
1633|gale|east|pump|17|pending
1925|birch|west|frame|41|shipped
1388|ionic|north|pump|67|shipped
1703|ember|south|sensor|53|shipped
2208|acme|west|panel|70|held
1620|gale|north|cable|44|shipped
2030|dorian|west|rotor|16|pending
1444|acme|west|sensor|12|held
1402|harbor|west|rotor|83|held
2101|dorian|east|pump|30|pending
1339|birch|east|sensor|43|pending
1980|gale|east|gasket|81|held
2042|cobalt|north|valve|82|held
1918|ionic|north|panel|55|held
2191|acme|east|valve|16|shipped
2018|fulton|west|sensor|80|shipped
2098|fulton|south|valve|24|paid
2219|birch|west|gasket|64|pending
1725|dorian|west|gasket|98|pending
1939|fulton|north|panel|57|pending
1348|harbor|west|pump|30|shipped
2179|birch|east|cable|59|paid
2210|fulton|west|sensor|60|paid
1942|fulton|west|rotor|71|shipped
1568|cobalt|north|cable|20|shipped
1819|acme|north|sensor|79|held
1364|ionic|east|frame|26|paid
1929|fulton|north|cable|74|pending
1424|birch|south|frame|68|shipped
1597|ionic|east|valve|49|held
2037|birch|north|pump|32|shipped
1835|ionic|north|valve|30|paid
1665|cobalt|north|gasket|14|held
1849|birch|north|valve|17|paid
1643|cobalt|west|panel|77|pending
1338|gale|east|rotor|71|pending
1249|cobalt|west|gasket|51|held
1313|juno|north|sensor|79|paid
1407|birch|east|cable|10|shipped
1831|birch|north|frame|69|pending
1557|fulton|west|rotor|21|shipped
1991|gale|west|pump|17|paid
1448|birch|east|gasket|81|paid
1590|dorian|north|rotor|33|paid
2263|harbor|west|panel|73|shipped
1554|birch|east|gasket|80|paid
1654|dorian|west|pump|64|paid
1302|gale|south|rotor|36|pending
1791|ember|east|rotor|33|shipped
1540|harbor|north|cable|15|pending
1634|birch|south|cable|99|shipped
2277|ember|west|sensor|74|paid
1491|cobalt|south|gasket|19|pending
2019|dorian|east|gasket|90|paid
1737|birch|north|valve|77|held
2166|cobalt|east|frame|91|pending
1412|juno|east|sensor|99|paid
1514|acme|west|panel|31|pending
2357|juno|south|cable|62|paid
1584|ember|north|sensor|96|paid
2065|ember|east|panel|62|shipped
1519|fulton|east|panel|96|pending
2313|fulton|north|gasket|79|held
1292|acme|east|frame|47|paid
2193|gale|south|valve|29|shipped
1883|dorian|north|rotor|67|shipped
1866|cobalt|west|panel|44|pending
1359|acme|north|sensor|74|held
2323|fulton|east|gasket|83|held
1385|birch|west|rotor|72|held
1340|ionic|south|gasket|13|shipped
1533|harbor|west|rotor|64|pending
1237|birch|north|sensor|82|paid
1321|fulton|west|valve|69|paid
1807|dorian|north|pump|28|paid
1355|harbor|west|gasket|22|shipped
1369|cobalt|north|valve|98|held
1747|fulton|west|rotor|94|held
1200|gale|north|cable|56|held
2026|harbor|north|frame|82|pending
2231|cobalt|south|panel|66|paid
1788|cobalt|north|rotor|17|paid
2033|harbor|south|panel|28|paid
2291|acme|east|gasket|17|held
2274|ionic|east|frame|83|paid
2251|ember|west|rotor|32|paid
1259|juno|north|rotor|11|pending
1496|cobalt|north|gasket|98|shipped
1955|birch|south|pump|91|paid
1994|dorian|north|cable|62|held
1935|ember|east|rotor|72|paid
1755|juno|north|rotor|55|shipped
1219|gale|north|pump|56|pending
1323|ember|east|gasket|53|pending
2326|dorian|east|gasket|97|held
2174|ember|south|panel|21|pending
2304|juno|north|cable|16|held
1353|ember|east|pump|87|held
2199|ionic|north|panel|57|paid
2128|ember|north|pump|47|paid
2162|harbor|south|cable|49|shipped
1473|acme|north|rotor|42|pending
1305|dorian|north|frame|90|held
2187|birch|south|valve|21|held
1936|birch|north|panel|44|shipped
1699|cobalt|north|frame|22|held
2117|ember|north|cable|49|held
2269|ember|south|frame|12|shipped
1205|gale|north|sensor|53|pending
1691|birch|north|rotor|52|shipped
1790|acme|south|valve|76|shipped
1192|gale|north|gasket|71|shipped
1603|ember|north|pump|29|pending
1678|juno|east|sensor|14|paid
2106|acme|north|cable|63|pending
1811|dorian|north|panel|14|held
1982|fulton|west|frame|37|pending
1193|gale|north|sensor|99|pending
1562|ember|north|pump|63|pending
1185|gale|north|valve|76|pending
2315|birch|east|valve|80|paid
2260|birch|north|rotor|13|paid
1762|juno|west|sensor|89|held
2316|acme|south|rotor|72|held
1374|birch|north|pump|64|shipped
2243|ionic|north|cable|88|pending
1970|ionic|west|frame|77|paid
1687|acme|south|pump|30|paid
1599|ember|south|gasket|65|shipped
2135|fulton|south|valve|65|shipped
2238|harbor|east|sensor|44|shipped
1649|ember|east|rotor|61|pending
1421|cobalt|south|frame|28|paid
1730|acme|north|sensor|29|held
1419|dorian|north|rotor|49|paid
1893|fulton|west|valve|38|shipped
2332|acme|west|rotor|70|paid
1912|acme|south|cable|37|shipped
1330|dorian|north|sensor|68|pending
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "gale" AND region = "north" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 66, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.
Output the full ordered sequence of tool calls as a JSON array of {"tool": string, "args": object}.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool":"cancel_order","args":{"order_id":1543}},
{"tool":"cancel_order","args":{"order_id":2009}},
{"tool":"cancel_order","args":{"order_id":2069}},
{"tool":"restock","args":{"item":"gasket","qty":71}},
{"tool":"cancel_order","args":{"order_id":1185}},
{"tool":"cancel_order","args":{"order_id":1219}},
{"tool":"cancel_order","args":{"order_id":1230}},
{"tool":"cancel_order","args":{"order_id":1379}},
{"tool":"cancel_order","args":{"order_id":2009}}
]correctagentic.tools.deploy-v1conf 100% · 1.5s · $0.000 · 80 tok
question
You are a release agent operating strictly through tool calls.
TOOL CATALOG:
- deploy(service: string) — deploys a service; FAILS if any dependency is not yet deployed
- health_check(service: string) — runs a post-deploy health probe
- rollback(service: string) — reverts a bad deploy (nothing fails in this scenario)
- scale(service: string, replicas: int) — changes replica count (out of scope)
- restart(service: string) — restarts a service (out of scope)
SERVICES AND THEIR DEPENDENCIES (a service can only be deployed after ALL its dependencies):
- billing: auth-svc, reports
- notifier: auth-svc
- reports: (none)
- auth-svc: reports
POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "auth-svc" is flagged unstable: call health_check on it immediately after deploying it.
- Call nothing else.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool":"deploy","args":{"service":"reports"}},
{"tool":"deploy","args":{"service":"auth-svc"}},
{"tool":"health_check","args":{"service":"auth-svc"}},
{"tool":"deploy","args":{"service":"billing"}},
{"tool":"deploy","args":{"service":"notifier"}}
]wrongagentic.tools.ledger-v1conf 100% · 1.8s · $0.001 · 143 tok
question
You are a treasury agent operating strictly through tool calls.
TOOL CATALOG:
- transfer(from: string, to: string, amount: int) — moves funds between accounts; FAILS if it would overdraw the source
- top_up_from_reserve(account: string, amount: int) — adds funds to an account from the corporate reserve
- get_balance(account: string) — reads a balance (you already have all balances below — reads are unnecessary and forbidden)
- freeze_account(account: string) — compliance freeze (not part of this task)
- convert_currency(account: string, currency: string) — FX conversion (all amounts are already in USD)
OPENING BALANCES:
- kilo: $178
- oscar: $846
- bravo: $364
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $440 from "bravo" to "oscar"
2. pay $194 from "kilo" to "bravo"
3. pay $292 from "kilo" to "oscar"
4. pay $517 from "oscar" to "bravo"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool":"transfer","args":{"from":"bravo","to":"oscar","amount":440}},
{"tool":"top_up_from_reserve","args":{"account":"kilo","amount":58}},
{"tool":"transfer","args":{"from":"kilo","to":"bravo","amount":194}},
{"tool":"top_up_from_reserve","args":{"account":"kilo","amount":292}},
{"tool":"transfer","args":{"from":"kilo","to":"oscar","amount":292}},
{"tool":"transfer","args":{"from":"oscar","to":"bravo","amount":517}}
]correctagentic.tools.triage-v1conf 99% · 1.6s · $0.001 · 138 tok
question
You operate a support desk strictly through tool calls.
TOOL CATALOG:
- create_ticket(title: string, priority: int) — opens a ticket; IDs are assigned sequentially: the 1st created ticket is "TCK-1", the 2nd "TCK-2", etc.
- assign(ticket_id: string, agent: string) — assigns an open ticket to an agent
- escalate(ticket_id: string) — marks a ticket as escalated
- close_ticket(ticket_id: string, resolution: string) — closes a ticket with a resolution note
- send_email(to: string, body: string) — sends an email (not part of the triage policy)
- archive_ticket(ticket_id: string) — archives a closed ticket (nightly job does this automatically)
- set_reminder(ticket_id: string, hours: int) — sets a follow-up reminder
ROUTING POLICY (apply exactly, in this order, for each incident, processing incidents in the order listed):
1. Create a ticket for the incident (title = the incident text verbatim, priority as given).
2. If the incident is an exact duplicate of an earlier incident in this list, close its ticket immediately with resolution "duplicate of <ID of the earlier ticket>" and do nothing else for it.
3. Otherwise, if priority ≥ 7, escalate the ticket BEFORE assigning it.
4. Assign the ticket to the agent responsible for its category.
CATEGORY → AGENT:
- auth → silva
- payments → tanaka
- data → chen
INCIDENTS:
1. "cannot reset password" (category: auth, priority 2)
2. "cannot reset password" (category: auth, priority 2)
3. "export file corrupted" (category: data, priority 3)
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool":"create_ticket","args":{"title":"cannot reset password","priority":2}},
{"tool":"assign","args":{"ticket_id":"TCK-1","agent":"silva"}},
{"tool":"create_ticket","args":{"title":"cannot reset password","priority":2}},
{"tool":"close_ticket","args":{"ticket_id":"TCK-2","resolution":"duplicate of TCK-1"}},
{"tool":"create_ticket","args":{"title":"export file corrupted","priority":3}},
{"tool":"assign","args":{"ticket_id":"TCK-3","agent":"chen"}}
]wrongagentic.tools.context-load-v1conf 100% · 2.2s · $0.003 · 45 tok
question
You are an order-operations agent working strictly through tool calls.
TOOL CATALOG:
- restock(item: string, qty: int) — reorders stock for a large pending order
- cancel_order(order_id: int) — cancels a small pending order
- ship_order(order_id: int) — ships a paid order (out of scope here)
- refund(order_id: int, amount: int) — refunds a customer (out of scope here)
- notify_customer(customer: string, message: string) — sends a notification (not required by this policy)
ORDER LEDGER (208 records, format: id|customer|region|item|qty|status):
```
2080|ionic|west|sensor|50|paid
1769|ember|south|cable|17|paid
1579|ember|east|pump|95|paid
2116|harbor|west|cable|79|held
1824|gale|north|panel|33|pending
2202|gale|east|panel|23|shipped
2232|cobalt|west|sensor|35|shipped
1521|fulton|north|panel|68|shipped
1662|gale|south|sensor|92|held
1621|birch|east|sensor|59|held
1957|fulton|south|rotor|12|held
1565|gale|east|panel|87|shipped
1498|acme|south|frame|48|held
1696|harbor|west|pump|93|paid
1570|ember|south|cable|45|shipped
1526|fulton|west|valve|74|shipped
1506|acme|north|sensor|93|pending
2185|acme|west|rotor|26|pending
1964|birch|north|frame|17|paid
2072|ember|east|rotor|93|held
1531|acme|east|frame|65|held
2191|gale|west|frame|42|held
2131|ionic|east|frame|39|paid
1780|juno|north|sensor|23|held
1675|gale|north|frame|59|shipped
1829|harbor|south|panel|83|pending
1815|acme|north|rotor|30|held
2037|harbor|south|valve|57|held
1927|dorian|north|rotor|39|shipped
1939|acme|north|sensor|61|shipped
1525|harbor|east|sensor|38|paid
1751|fulton|south|valve|87|paid
1471|acme|south|valve|46|held
2049|juno|north|rotor|74|held
2106|fulton|east|frame|67|pending
2081|cobalt|west|pump|45|paid
1915|cobalt|south|rotor|76|shipped
1503|acme|south|rotor|89|pending
1923|birch|north|rotor|19|shipped
1865|dorian|west|pump|76|held
1478|acme|south|cable|43|pending
1868|birch|west|gasket|51|paid
1626|cobalt|south|rotor|31|paid
1706|acme|south|cable|14|paid
1669|birch|east|panel|14|shipped
1702|fulton|west|sensor|36|held
1711|harbor|east|panel|11|pending
2009|ionic|north|valve|72|held
1466|acme|south|cable|72|pending
1735|ember|east|rotor|32|shipped
1946|fulton|west|rotor|46|held
1569|acme|south|pump|38|held
2161|ember|north|sensor|74|shipped
1890|acme|west|sensor|77|pending
2207|ionic|east|panel|74|shipped
1541|gale|west|panel|20|paid
2287|birch|east|rotor|35|paid
2091|fulton|north|panel|73|shipped
2279|ember|north|pump|89|shipped
2036|gale|east|valve|72|paid
1455|acme|east|cable|59|pending
1628|ionic|south|frame|12|held
1754|birch|south|pump|58|held
1820|juno|north|panel|12|paid
1560|fulton|north|cable|34|pending
2042|ionic|south|pump|20|held
1851|acme|west|valve|12|paid
2062|cobalt|north|gasket|10|paid
1547|dorian|east|frame|87|shipped
1605|birch|west|rotor|17|paid
1761|dorian|north|cable|64|held
1577|juno|west|pump|97|held
2259|acme|west|rotor|36|held
1598|gale|east|gasket|71|shipped
1783|dorian|north|sensor|15|pending
1646|gale|west|frame|50|held
1892|gale|west|frame|49|shipped
1640|juno|west|sensor|75|paid
1716|ember|north|panel|70|held
1894|ember|south|rotor|24|shipped
1583|birch|north|cable|92|shipped
2248|ionic|east|frame|29|pending
1494|acme|south|panel|61|pending
1911|harbor|north|valve|34|pending
2084|dorian|south|frame|40|pending
1460|acme|south|pump|47|shipped
1620|birch|north|valve|89|shipped
2204|fulton|south|rotor|98|pending
2268|harbor|south|rotor|55|paid
2251|birch|west|gasket|62|paid
2206|cobalt|east|frame|53|pending
1617|acme|west|panel|80|pending
1965|juno|west|valve|97|held
1718|cobalt|north|gasket|26|shipped
1975|harbor|west|sensor|17|pending
2226|ember|north|panel|32|pending
2016|gale|south|sensor|17|held
1600|birch|south|rotor|94|paid
2115|juno|north|sensor|65|shipped
2261|harbor|north|frame|86|held
2172|birch|west|pump|72|pending
1859|ionic|west|valve|57|paid
1968|dorian|south|panel|90|pending
2195|ember|west|sensor|49|held
1695|cobalt|west|rotor|76|held
2030|fulton|south|frame|52|held
2273|cobalt|east|frame|17|pending
2056|ionic|west|sensor|54|pending
1487|acme|south|frame|91|shipped
2142|birch|east|valve|11|paid
1996|fulton|west|sensor|96|held
2257|gale|north|frame|43|pending
1653|juno|south|valve|81|held
2123|cobalt|west|sensor|83|held
1951|fulton|north|cable|63|paid
1555|gale|north|pump|85|held
1724|gale|north|gasket|68|shipped
1804|birch|east|sensor|19|paid
1797|ionic|south|panel|13|paid
2074|acme|west|pump|80|paid
1963|ionic|south|frame|82|held
1515|acme|north|valve|72|shipped
1680|ember|south|pump|27|held
2270|ionic|north|valve|66|held
2179|ionic|west|sensor|17|paid
1832|acme|south|sensor|38|shipped
1768|gale|west|frame|37|shipped
2155|ember|east|valve|78|paid
2002|gale|east|frame|18|paid
2023|acme|west|frame|16|pending
1901|acme|east|gasket|80|shipped
1771|ember|south|valve|38|shipped
2174|birch|north|gasket|78|shipped
2189|harbor|west|panel|46|held
1908|ember|south|rotor|94|shipped
2060|juno|west|frame|72|held
1509|acme|south|rotor|76|held
1888|gale|east|gasket|41|pending
2043|ember|south|rotor|90|held
1981|fulton|west|frame|34|paid
2124|birch|north|pump|22|shipped
1596|birch|west|cable|89|pending
1453|acme|south|pump|61|pending
1744|harbor|south|gasket|20|pending
1863|ionic|west|cable|83|held
2284|fulton|south|cable|48|pending
1810|harbor|north|rotor|41|held
2239|gale|south|sensor|40|pending
2078|fulton|west|frame|46|pending
1838|dorian|north|sensor|27|paid
2133|harbor|south|gasket|10|pending
2068|cobalt|west|sensor|59|shipped
2267|ionic|west|panel|59|shipped
1912|ionic|north|cable|87|shipped
2167|fulton|north|cable|46|held
1932|birch|north|frame|40|pending
1878|juno|east|pump|19|pending
1740|harbor|west|valve|66|paid
2213|fulton|north|frame|44|paid
1537|gale|west|rotor|70|paid
2095|birch|west|sensor|35|paid
1549|gale|west|rotor|12|held
1993|acme|east|valve|64|pending
1884|birch|north|frame|77|held
1955|juno|south|panel|68|shipped
1787|dorian|south|sensor|70|paid
2120|dorian|north|sensor|87|held
1986|acme|west|cable|63|held
1802|harbor|south|frame|98|paid
1467|acme|west|sensor|97|pending
2018|harbor|south|gasket|86|pending
2220|harbor|east|panel|35|held
1610|cobalt|south|rotor|39|held
2011|fulton|south|rotor|81|shipped
1919|dorian|north|gasket|75|held
1589|juno|west|gasket|70|shipped
1684|dorian|east|valve|77|shipped
2108|ember|east|rotor|17|shipped
1772|harbor|south|sensor|61|paid
1750|gale|south|gasket|99|shipped
1752|juno|north|valve|65|paid
1575|ember|north|panel|66|held
1522|acme|south|sensor|64|held
1481|acme|east|frame|52|pending
2135|acme|west|rotor|37|paid
1685|gale|north|gasket|70|held
2249|fulton|south|gasket|82|held
1633|gale|south|panel|37|held
1741|juno|west|rotor|50|held
1730|harbor|west|frame|24|pending
1692|cobalt|west|valve|29|held
2098|dorian|north|gasket|18|held
1917|fulton|north|sensor|42|shipped
1871|fulton|north|frame|33|held
2245|dorian|south|valve|66|paid
1853|cobalt|north|sensor|38|shipped
2099|ember|north|cable|74|pending
2229|birch|east|panel|28|paid
1844|cobalt|south|rotor|59|held
2148|fulton|south|rotor|21|shipped
2034|ember|north|sensor|22|held
1497|acme|west|panel|16|pending
1657|ember|east|cable|52|shipped
1520|juno|west|sensor|22|paid
1909|cobalt|north|pump|79|paid
1779|cobalt|east|gasket|71|held
1857|acme|west|frame|34|held
1793|fulton|west|frame|36|held
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "acme" AND region = "south" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 43, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.
Output the full ordered sequence of tool calls as a JSON array of {"tool": string, "args": object}.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool":"cancel_order","args":{"order_id":1453}},
{"tool":"restock","args":{"item":"panel","qty":61}}
]correctagentic.tools.deploy-v1conf 100% · 1.5s · $0.000 · 79 tok
question
You are a release agent operating strictly through tool calls.
TOOL CATALOG:
- deploy(service: string) — deploys a service; FAILS if any dependency is not yet deployed
- health_check(service: string) — runs a post-deploy health probe
- rollback(service: string) — reverts a bad deploy (nothing fails in this scenario)
- scale(service: string, replicas: int) — changes replica count (out of scope)
- restart(service: string) — restarts a service (out of scope)
SERVICES AND THEIR DEPENDENCIES (a service can only be deployed after ALL its dependencies):
- auth-svc: notifier
- search: auth-svc
- reports: search
- notifier: (none)
POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "notifier" is flagged unstable: call health_check on it immediately after deploying it.
- Call nothing else.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool":"deploy","args":{"service":"notifier"}},
{"tool":"health_check","args":{"service":"notifier"}},
{"tool":"deploy","args":{"service":"auth-svc"}},
{"tool":"deploy","args":{"service":"search"}},
{"tool":"deploy","args":{"service":"reports"}}
]wrongagentic.tools.ledger-v1conf 99% · 2.4s · $0.001 · 119 tok
question
You are a treasury agent operating strictly through tool calls.
TOOL CATALOG:
- transfer(from: string, to: string, amount: int) — moves funds between accounts; FAILS if it would overdraw the source
- top_up_from_reserve(account: string, amount: int) — adds funds to an account from the corporate reserve
- get_balance(account: string) — reads a balance (you already have all balances below — reads are unnecessary and forbidden)
- freeze_account(account: string) — compliance freeze (not part of this task)
- convert_currency(account: string, currency: string) — FX conversion (all amounts are already in USD)
OPENING BALANCES:
- bravo: $865
- alpha: $509
- lima: $635
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $595 from "alpha" to "bravo"
2. pay $337 from "lima" to "alpha"
3. pay $268 from "alpha" to "lima"
4. pay $419 from "lima" to "bravo"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool":"transfer","args":{"from":"alpha","to":"bravo","amount":595}},
{"tool":"top_up_from_reserve","args":{"account":"lima","amount":297}},
{"tool":"transfer","args":{"from":"lima","to":"alpha","amount":337}},
{"tool":"transfer","args":{"from":"alpha","to":"lima","amount":268}},
{"tool":"transfer","args":{"from":"lima","to":"bravo","amount":419}}
]correctagentic.tools.triage-v1conf 99% · 1.6s · $0.001 · 182 tok
question
You operate a support desk strictly through tool calls.
TOOL CATALOG:
- create_ticket(title: string, priority: int) — opens a ticket; IDs are assigned sequentially: the 1st created ticket is "TCK-1", the 2nd "TCK-2", etc.
- assign(ticket_id: string, agent: string) — assigns an open ticket to an agent
- escalate(ticket_id: string) — marks a ticket as escalated
- close_ticket(ticket_id: string, resolution: string) — closes a ticket with a resolution note
- send_email(to: string, body: string) — sends an email (not part of the triage policy)
- archive_ticket(ticket_id: string) — archives a closed ticket (nightly job does this automatically)
- set_reminder(ticket_id: string, hours: int) — sets a follow-up reminder
ROUTING POLICY (apply exactly, in this order, for each incident, processing incidents in the order listed):
1. Create a ticket for the incident (title = the incident text verbatim, priority as given).
2. If the incident is an exact duplicate of an earlier incident in this list, close its ticket immediately with resolution "duplicate of <ID of the earlier ticket>" and do nothing else for it.
3. Otherwise, if priority ≥ 9, escalate the ticket BEFORE assigning it.
4. Assign the ticket to the agent responsible for its category.
CATEGORY → AGENT:
- data → dubois
- infra → okafor
- auth → novak
INCIDENTS:
1. "export file corrupted" (category: data, priority 5)
2. "webhooks not delivered" (category: infra, priority 5)
3. "export file corrupted" (category: data, priority 5)
4. "dashboard shows stale numbers" (category: data, priority 5)
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool":"create_ticket","args":{"title":"export file corrupted","priority":5}},
{"tool":"assign","args":{"ticket_id":"TCK-1","agent":"dubois"}},
{"tool":"create_ticket","args":{"title":"webhooks not delivered","priority":5}},
{"tool":"assign","args":{"ticket_id":"TCK-2","agent":"okafor"}},
{"tool":"create_ticket","args":{"title":"export file corrupted","priority":5}},
{"tool":"close_ticket","args":{"ticket_id":"TCK-3","resolution":"duplicate of TCK-1"}},
{"tool":"create_ticket","args":{"title":"dashboard shows stale numbers","priority":5}},
{"tool":"assign","args":{"ticket_id":"TCK-4","agent":"dubois"}}
]correctagentic.tools.deploy-v1conf 99% · 4.0s · $0.000 · 78 tok
question
You are a release agent operating strictly through tool calls.
TOOL CATALOG:
- deploy(service: string) — deploys a service; FAILS if any dependency is not yet deployed
- health_check(service: string) — runs a post-deploy health probe
- rollback(service: string) — reverts a bad deploy (nothing fails in this scenario)
- scale(service: string, replicas: int) — changes replica count (out of scope)
- restart(service: string) — restarts a service (out of scope)
SERVICES AND THEIR DEPENDENCIES (a service can only be deployed after ALL its dependencies):
- billing: auth-svc
- notifier: auth-svc, billing
- reports: billing, notifier
- auth-svc: (none)
POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "billing" is flagged unstable: call health_check on it immediately after deploying it.
- Call nothing else.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool":"deploy","args":{"service":"auth-svc"}},
{"tool":"deploy","args":{"service":"billing"}},
{"tool":"health_check","args":{"service":"billing"}},
{"tool":"deploy","args":{"service":"notifier"}},
{"tool":"deploy","args":{"service":"reports"}}
]wrongagentic.tools.context-load-v1conf 100% · 2.5s · $0.004 · 12 tok
question
You are an order-operations agent working strictly through tool calls.
TOOL CATALOG:
- restock(item: string, qty: int) — reorders stock for a large pending order
- cancel_order(order_id: int) — cancels a small pending order
- ship_order(order_id: int) — ships a paid order (out of scope here)
- refund(order_id: int, amount: int) — refunds a customer (out of scope here)
- notify_customer(customer: string, message: string) — sends a notification (not required by this policy)
ORDER LEDGER (241 records, format: id|customer|region|item|qty|status):
```
1558|birch|north|valve|61|pending
1502|harbor|north|pump|73|paid
2354|acme|north|pump|83|pending
2041|juno|north|frame|90|shipped
1618|fulton|east|cable|59|shipped
2297|acme|south|sensor|62|paid
1778|ember|north|frame|55|held
2052|birch|east|sensor|31|pending
1820|ionic|north|panel|49|pending
2316|dorian|south|valve|83|pending
1649|gale|east|valve|94|held
1639|dorian|south|gasket|45|shipped
1553|ionic|north|pump|59|paid
1576|harbor|south|pump|85|paid
2134|acme|south|sensor|28|paid
1529|fulton|east|rotor|57|paid
1874|fulton|north|frame|49|paid
1535|cobalt|north|pump|46|shipped
2261|juno|south|sensor|16|held
2352|dorian|east|pump|80|held
1494|cobalt|south|frame|11|shipped
2011|acme|south|cable|55|held
1470|gale|east|rotor|92|pending
1670|harbor|south|frame|37|shipped
1865|gale|south|pump|45|paid
1492|birch|east|rotor|43|held
2276|ember|east|valve|15|shipped
1988|cobalt|west|panel|44|pending
1635|ionic|north|gasket|70|held
2224|gale|north|panel|11|shipped
2001|juno|east|cable|98|paid
2185|juno|north|panel|29|shipped
2359|ionic|west|frame|94|paid
2312|juno|south|sensor|81|held
2072|birch|west|frame|14|held
1605|ember|west|valve|61|held
1619|cobalt|west|rotor|99|pending
1991|fulton|south|cable|31|shipped
1691|ionic|south|cable|26|held
2299|dorian|north|rotor|52|shipped
1794|fulton|north|sensor|17|shipped
1575|gale|west|panel|21|shipped
1543|birch|north|gasket|51|shipped
1787|cobalt|east|panel|29|shipped
2048|ionic|west|gasket|69|held
1702|harbor|west|panel|93|shipped
1939|fulton|north|sensor|74|held
1930|birch|north|rotor|60|pending
2378|dorian|north|gasket|49|paid
2071|dorian|south|gasket|96|held
1741|acme|east|panel|82|shipped
1934|juno|north|valve|83|paid
1873|birch|west|gasket|37|paid
1448|ember|west|frame|89|pending
1541|cobalt|west|cable|22|pending
2258|dorian|north|frame|69|shipped
2068|ember|south|cable|12|paid
1954|dorian|east|frame|39|pending
2086|juno|west|gasket|36|held
1942|ionic|east|pump|79|paid
1638|gale|south|panel|75|paid
1519|cobalt|east|rotor|22|pending
2367|ember|east|gasket|58|shipped
2325|harbor|west|valve|14|paid
2196|fulton|north|cable|79|paid
1595|cobalt|west|cable|68|shipped
1501|ember|east|valve|19|shipped
2242|gale|west|gasket|63|paid
1426|ember|south|cable|79|pending
1486|fulton|north|valve|31|pending
1831|gale|west|gasket|91|shipped
1754|juno|east|valve|28|shipped
2294|dorian|west|panel|74|pending
1807|acme|south|valve|77|held
1654|birch|west|panel|43|held
2116|acme|east|panel|29|shipped
1421|ember|north|cable|11|held
2351|dorian|west|cable|78|paid
1678|cobalt|north|cable|10|shipped
2075|birch|north|pump|48|paid
1598|juno|west|cable|32|held
1923|harbor|south|panel|59|held
1659|harbor|south|frame|74|paid
1476|ember|north|frame|78|shipped
1966|birch|south|panel|36|shipped
1746|dorian|west|pump|48|held
2150|ember|south|pump|27|pending
1948|cobalt|north|panel|52|shipped
1859|ember|west|frame|76|pending
2142|juno|south|rotor|35|pending
1849|ionic|west|frame|82|shipped
2385|cobalt|south|gasket|48|paid
2168|fulton|west|sensor|74|pending
1973|cobalt|west|panel|71|pending
1768|gale|south|gasket|62|pending
1574|ember|west|panel|78|shipped
2379|acme|north|sensor|50|pending
1735|ember|south|valve|96|pending
1848|birch|north|sensor|16|paid
1442|ember|north|cable|39|shipped
1438|ember|south|valve|45|pending
2053|juno|east|pump|31|paid
1570|gale|east|panel|14|held
1800|cobalt|north|sensor|45|held
1629|cobalt|north|valve|32|shipped
1459|acme|south|rotor|10|pending
2240|juno|south|cable|87|paid
1506|dorian|west|cable|12|paid
1909|ionic|west|frame|44|paid
1818|gale|north|frame|70|held
1902|ember|south|rotor|23|pending
2051|cobalt|east|pump|45|shipped
1982|acme|south|gasket|11|pending
2131|cobalt|west|panel|92|shipped
1949|acme|south|frame|14|pending
1748|dorian|north|gasket|23|held
1997|harbor|south|valve|84|shipped
2079|cobalt|east|panel|99|held
1891|juno|south|valve|10|pending
1539|fulton|north|cable|62|shipped
1870|gale|east|cable|27|pending
1866|acme|west|valve|85|shipped
2269|birch|north|valve|74|shipped
1913|fulton|south|valve|26|held
2149|dorian|north|cable|33|paid
2249|ionic|north|rotor|41|paid
2321|juno|west|rotor|27|held
2105|acme|north|sensor|59|shipped
2036|acme|east|cable|16|paid
2114|ember|west|sensor|38|pending
1919|birch|south|valve|74|paid
1625|ember|south|valve|41|pending
1843|ionic|west|sensor|22|shipped
1587|juno|west|pump|55|pending
2334|gale|south|frame|70|pending
1723|fulton|north|valve|44|paid
1764|birch|east|sensor|30|pending
1463|ember|north|pump|67|shipped
1675|cobalt|south|panel|70|pending
1969|ember|north|valve|81|paid
1815|fulton|north|rotor|43|paid
1852|dorian|west|frame|20|paid
2124|birch|west|frame|37|paid
1676|dorian|south|gasket|16|paid
1706|acme|north|cable|76|pending
2286|fulton|east|rotor|60|paid
2314|dorian|north|sensor|86|shipped
1761|harbor|south|pump|69|pending
1839|acme|north|frame|58|shipped
1524|fulton|west|pump|20|shipped
1784|fulton|east|valve|96|pending
2356|cobalt|south|valve|83|paid
1713|cobalt|north|cable|64|held
1958|gale|south|pump|59|held
1861|gale|west|pump|56|paid
2208|juno|east|gasket|13|held
1898|dorian|south|pump|45|paid
2179|birch|north|cable|26|shipped
2337|dorian|south|rotor|32|paid
2284|gale|south|panel|74|paid
1579|acme|east|cable|42|shipped
2371|gale|north|frame|72|pending
2174|juno|south|sensor|46|paid
1975|gale|south|sensor|97|held
1695|cobalt|north|valve|65|paid
1965|acme|east|rotor|20|paid
2020|acme|south|pump|22|pending
2349|acme|west|pump|36|paid
1683|birch|north|sensor|48|held
1668|ember|east|panel|26|shipped
2266|gale|west|cable|17|shipped
2214|fulton|south|gasket|94|paid
1417|ember|south|cable|94|pending
2342|fulton|east|frame|15|held
1565|fulton|east|sensor|94|held
1424|ember|north|sensor|19|pending
2063|fulton|north|valve|94|shipped
2193|dorian|east|pump|56|held
1411|ember|north|sensor|15|pending
1696|gale|west|frame|52|held
2108|harbor|east|valve|93|pending
1548|juno|east|gasket|39|shipped
1918|juno|west|rotor|80|shipped
2118|juno|north|gasket|23|shipped
1780|cobalt|south|pump|17|paid
1806|acme|north|panel|29|paid
2100|ionic|north|cable|41|held
1443|ember|north|pump|39|pending
2252|fulton|south|panel|59|shipped
2163|dorian|west|gasket|63|paid
1479|cobalt|north|sensor|90|paid
2232|birch|east|cable|99|pending
2219|dorian|south|frame|44|held
1976|birch|west|sensor|41|held
1745|acme|north|pump|75|pending
2203|juno|north|pump|34|pending
1624|acme|west|gasket|23|paid
2018|ember|east|panel|38|shipped
1775|gale|south|pump|62|shipped
1892|ionic|east|valve|66|pending
1433|ember|north|pump|64|shipped
2188|harbor|north|cable|41|held
1808|juno|south|valve|13|held
1881|harbor|south|cable|48|paid
1512|ionic|south|valve|74|pending
1611|gale|east|valve|25|shipped
1886|juno|south|pump|83|pending
1716|harbor|east|rotor|68|paid
1436|ember|north|valve|23|pending
2024|juno|west|gasket|26|paid
2056|birch|north|gasket|46|shipped
2095|birch|west|cable|61|held
2226|ionic|east|gasket|84|held
2293|cobalt|west|pump|48|shipped
1584|cobalt|south|cable|36|paid
2006|dorian|east|frame|80|held
1685|ionic|east|cable|24|shipped
1592|acme|west|cable|90|held
2089|ember|east|rotor|26|shipped
1772|ionic|east|gasket|41|paid
1838|gale|west|pump|37|paid
2029|ionic|south|frame|35|held
2044|acme|east|panel|20|pending
2281|ionic|north|rotor|21|paid
2305|fulton|south|panel|45|held
1594|ember|west|pump|18|pending
2360|acme|west|valve|83|paid
1729|ionic|east|rotor|95|pending
1642|juno|north|pump|93|paid
2135|ember|west|panel|59|paid
2329|fulton|south|panel|41|held
1454|birch|north|pump|65|paid
1824|birch|north|frame|31|pending
2235|cobalt|east|cable|22|held
1664|gale|west|panel|65|paid
1694|dorian|south|gasket|37|pending
1536|fulton|east|frame|46|shipped
2156|ionic|north|valve|15|held
2250|juno|south|pump|51|held
1449|ember|north|panel|84|held
1821|gale|north|cable|80|held
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "ember" AND region = "north" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 44, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.
Output the full ordered sequence of tool calls as a JSON array of {"tool": string, "args": object}.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[]correctagentic.tools.triage-v1conf 99% · 2.5s · $0.001 · 202 tok
question
You operate a support desk strictly through tool calls.
TOOL CATALOG:
- create_ticket(title: string, priority: int) — opens a ticket; IDs are assigned sequentially: the 1st created ticket is "TCK-1", the 2nd "TCK-2", etc.
- assign(ticket_id: string, agent: string) — assigns an open ticket to an agent
- escalate(ticket_id: string) — marks a ticket as escalated
- close_ticket(ticket_id: string, resolution: string) — closes a ticket with a resolution note
- send_email(to: string, body: string) — sends an email (not part of the triage policy)
- archive_ticket(ticket_id: string) — archives a closed ticket (nightly job does this automatically)
- set_reminder(ticket_id: string, hours: int) — sets a follow-up reminder
ROUTING POLICY (apply exactly, in this order, for each incident, processing incidents in the order listed):
1. Create a ticket for the incident (title = the incident text verbatim, priority as given).
2. If the incident is an exact duplicate of an earlier incident in this list, close its ticket immediately with resolution "duplicate of <ID of the earlier ticket>" and do nothing else for it.
3. Otherwise, if priority ≥ 7, escalate the ticket BEFORE assigning it.
4. Assign the ticket to the agent responsible for its category.
CATEGORY → AGENT:
- infra → haddad
- payments → dubois
- auth → okafor
INCIDENTS:
1. "webhooks not delivered" (category: infra, priority 6)
2. "card declined at checkout" (category: payments, priority 7)
3. "card declined at checkout" (category: payments, priority 7)
4. "API latency spikes" (category: infra, priority 6)
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool":"create_ticket","args":{"title":"webhooks not delivered","priority":6}},
{"tool":"assign","args":{"ticket_id":"TCK-1","agent":"haddad"}},
{"tool":"create_ticket","args":{"title":"card declined at checkout","priority":7}},
{"tool":"escalate","args":{"ticket_id":"TCK-2"}},
{"tool":"assign","args":{"ticket_id":"TCK-2","agent":"dubois"}},
{"tool":"create_ticket","args":{"title":"card declined at checkout","priority":7}},
{"tool":"close_ticket","args":{"ticket_id":"TCK-3","resolution":"duplicate of TCK-2"}},
{"tool":"create_ticket","args":{"title":"API latency spikes","priority":6}},
{"tool":"assign","args":{"ticket_id":"TCK-4","agent":"haddad"}}
]wrongagentic.tools.ledger-v1conf 99% · 1.7s · $0.001 · 139 tok
question
You are a treasury agent operating strictly through tool calls.
TOOL CATALOG:
- transfer(from: string, to: string, amount: int) — moves funds between accounts; FAILS if it would overdraw the source
- top_up_from_reserve(account: string, amount: int) — adds funds to an account from the corporate reserve
- get_balance(account: string) — reads a balance (you already have all balances below — reads are unnecessary and forbidden)
- freeze_account(account: string) — compliance freeze (not part of this task)
- convert_currency(account: string, currency: string) — FX conversion (all amounts are already in USD)
OPENING BALANCES:
- tango: $743
- alpha: $139
- oscar: $884
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $234 from "alpha" to "oscar"
2. pay $111 from "alpha" to "oscar"
3. pay $338 from "oscar" to "alpha"
4. pay $350 from "tango" to "alpha"
5. pay $193 from "tango" to "oscar"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool":"transfer","args":{"from":"alpha","to":"oscar","amount":234}},
{"tool":"top_up_from_reserve","args":{"account":"alpha","amount":106}},
{"tool":"transfer","args":{"from":"alpha","to":"oscar","amount":111}},
{"tool":"transfer","args":{"from":"oscar","to":"alpha","amount":338}},
{"tool":"transfer","args":{"from":"tango","to":"alpha","amount":350}},
{"tool":"transfer","args":{"from":"tango","to":"oscar","amount":193}}
]wrongagentic.tools.context-load-v1anchorconf 99% · 1.9s · $0.003 · 138 tok
model answer:
[
{"tool":"cancel_order","args":{"order_id":1394}},
{"tool":"restock","args":{"item":"frame","qty":58}},
{"tool":"restock","args":{"item":"gasket","qty":60}},
{"tool":"cancel_order","args":{"order_id":1578}},
{"tool":"cancel_order","args":{"order_id":1628}},
{"tool":"cancel_order","args":{"order_id":1682}},
{"tool":"cancel_order","args":{"order_id":1787}},
{"tool":"cancel_order","args":{"order_id":1849}}
]correctagentic.tools.deploy-v1anchorconf 100% · 2.7s · $0.000 · 78 tok
model answer:
[
{"tool":"deploy","args":{"service":"notifier"}},
{"tool":"deploy","args":{"service":"auth-svc"}},
{"tool":"deploy","args":{"service":"gateway"}},
{"tool":"health_check","args":{"service":"gateway"}},
{"tool":"deploy","args":{"service":"reports"}}
]correctagentic.tools.triage-v1anchorconf 99% · 1.9s · $0.001 · 204 tok
model answer:
[
{"tool":"create_ticket","args":{"title":"API latency spikes","priority":9}},
{"tool":"escalate","args":{"ticket_id":"TCK-1"}},
{"tool":"assign","args":{"ticket_id":"TCK-1","agent":"tanaka"}},
{"tool":"create_ticket","args":{"title":"records missing after import","priority":2}},
{"tool":"assign","args":{"ticket_id":"TCK-2","agent":"novak"}},
{"tool":"create_ticket","args":{"title":"refund double-charged","priority":2}},
{"tool":"assign","args":{"ticket_id":"TCK-3","agent":"okafor"}},
{"tool":"create_ticket","args":{"title":"API latency spikes","priority":9}},
{"tool":"close_ticket","args":{"ticket_id":"TCK-4","resolution":"duplicate of TCK-1"}}
]wrongagentic.tools.ledger-v1anchorconf 100% · 895ms · $0.001 · 180 tok
model answer:
[
{"tool":"top_up_from_reserve","args":{"account":"delta","amount":134}},
{"tool":"transfer","args":{"from":"delta","to":"bravo","amount":451}},
{"tool":"top_up_from_reserve","args":{"account":"bravo","amount":101}},
{"tool":"transfer","args":{"from":"bravo","to":"delta","amount":292}},
{"tool":"transfer","args":{"from":"delta","to":"tango","amount":97}},
{"tool":"top_up_from_reserve","args":{"account":"delta","amount":162}},
{"tool":"transfer","args":{"from":"delta","to":"bravo","amount":540}},
{"tool":"transfer","args":{"from":"tango","to":"bravo","amount":125}}
]code 7/30 correct
correctcode.trace.js-v1conf 99% · 925ms · $0.000 · 128 tok
question
Evaluate the following JavaScript. What number is logged to the console? ```js const arr = [3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13]; const out = arr .map(n => n * 2) .filter(n => n % 5 === 0) .reduce((a, b) => a + b, 0); console.log(out); ``` End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
30wrongcode.trace.nested-v1conf 100% · 777ms · $0.000 · 12 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 6):
for j in range(1, 6):
if j == 4 and i % 2 == 0:
break
if (i + j) % 4 == 0:
continue
total += i * 5 + j
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
315wrongcode.trace.python-v1conf 99% · 1.1s · $0.000 · 47 tok
question
Trace the following Python code and give its exact output.
```python
total = 0
v = 14
while total + v <= 84:
if v % 6 != 0:
total += v
v += 8
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
14correctcode.trace.js-v1conf 99% · 921ms · $0.000 · 125 tok
question
What does this JavaScript program log? ```js const arr = [8, 9, 10, 11, 12, 13, 14, 15, 16, 17]; const out = arr .map(n => n * 2) .filter(n => n % 4 === 0) .reduce((a, b) => a + b, 0); console.log(out); ``` End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
120wrongcode.trace.python-v1conf 100% · 1.2s · $0.000 · 96 tok
question
What does this Python program print?
```python
total = 0
v = 13
while total + v <= 101:
if v % 3 != 0:
total += v
v += 8
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
355wrongcode.trace.nested-v1conf 100% · 1.2s · $0.000 · 12 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 7):
for j in range(1, 7):
if j == 4 and i % 2 == 0:
break
if (i + j) % 2 == 0:
continue
total += i * 4 + j
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
129wrongcode.trace.js-v1conf 100% · 1.2s · $0.000 · 54 tok
question
What does this JavaScript program log? ```js const arr = [9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20]; const out = arr .map(n => n * 6) .filter(n => n % 4 === 0) .reduce((a, b) => a + b, 0); console.log(out); ``` End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
288wrongcode.trace.nested-v1conf 100% · 1.3s · $0.000 · 66 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 8):
for j in range(1, 7):
if j == 3 and i % 2 == 0:
break
if (i + j) % 2 == 0:
continue
total += i * 4 + j
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
200wrongcode.trace.python-v1conf 99% · 926ms · $0.000 · 85 tok
question
What does this Python program print?
```python
total = 0
v = 14
while total + v <= 118:
if v % 6 != 0:
total += v
v += 9
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
382wrongcode.trace.js-v1conf 100% · 1.4s · $0.000 · 45 tok
question
What does this JavaScript program log? ```js const arr = [8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18]; const out = arr .map(n => n * 5) .filter(n => n % 3 === 0) .reduce((a, b) => a + b, 0); console.log(out); ``` End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
150wrongcode.trace.nested-v1conf 100% · 843ms · $0.000 · 19 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 8):
for j in range(1, 8):
if j == 5 and i % 2 == 0:
break
if (i + j) % 3 == 0:
continue
total += i * 4 + j
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
441wrongcode.trace.python-v1conf 99% · 1.5s · $0.000 · 67 tok
question
What does this Python program print?
```python
total = 0
v = 15
while total + v <= 117:
if v % 7 != 0:
total += v
v += 8
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
155correctcode.trace.js-v1conf 99% · 1.1s · $0.000 · 126 tok
question
What does this JavaScript program log? ```js const arr = [7, 8, 9, 10, 11, 12, 13, 14, 15]; const out = arr .map(n => n * 5) .filter(n => n % 5 === 0) .reduce((a, b) => a + b, 0); console.log(out); ``` End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
495wrongcode.trace.nested-v1conf 99% · 1.0s · $0.000 · 123 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 6):
for j in range(1, 5):
if j == 3 and i % 2 == 0:
break
if (i + j) % 3 == 0:
continue
total += i * 5 + j
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
77wrongcode.trace.python-v1conf 99% · 1.1s · $0.000 · 77 tok
question
What does this Python program print?
```python
total = 0
v = 9
while total + v <= 100:
if v % 7 != 0:
total += v
v += 2
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
107wrongcode.trace.js-v1conf 100% · 1.3s · $0.000 · 63 tok
question
What does this JavaScript program log? ```js const arr = [8, 9, 10, 11, 12, 13, 14, 15, 16, 17]; const out = arr .map(n => n * 6) .filter(n => n % 4 === 0) .reduce((a, b) => a + b, 0); console.log(out); ``` End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
234wrongcode.trace.nested-v1conf 99% · 797ms · $0.000 · 19 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 5):
for j in range(1, 8):
if j == 3 and i % 2 == 0:
break
if (i + j) % 3 == 0:
continue
total += i * 5 + j
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
139wrongcode.trace.python-v1conf 100% · 998ms · $0.000 · 12 tok
question
Execute this Python snippet mentally. What is printed?
```python
total = 0
v = 5
while total + v <= 34:
if v % 3 != 0:
total += v
v += 7
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
12wrongcode.trace.js-v1conf 100% · 1.4s · $0.000 · 81 tok
question
What does this JavaScript program log? ```js const arr = [4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14]; const out = arr .map(n => n * 6) .filter(n => n % 3 === 0) .reduce((a, b) => a + b, 0); console.log(out); ``` End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
495wrongcode.trace.nested-v1conf 99% · 1.1s · $0.000 · 25 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 7):
for j in range(1, 6):
if j == 3 and i % 2 == 0:
break
if (i + j) % 4 == 0:
continue
total += i * 5 + j
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
287wrongcode.trace.python-v1conf 100% · 1.1s · $0.000 · 50 tok
question
Trace the following Python code and give its exact output.
```python
total = 0
v = 7
while total + v <= 74:
if v % 3 != 0:
total += v
v += 2
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
69correctcode.trace.js-v1conf 99% · 815ms · $0.000 · 94 tok
question
Evaluate the following JavaScript. What number is logged to the console? ```js const arr = [6, 7, 8, 9, 10, 11, 12, 13, 14]; const out = arr .map(n => n * 6) .filter(n => n % 5 === 0) .reduce((a, b) => a + b, 0); console.log(out); ``` End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
60wrongcode.trace.nested-v1conf 100% · 853ms · $0.000 · 74 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 5):
for j in range(1, 7):
if j == 3 and i % 2 == 0:
break
if (i + j) % 4 == 0:
continue
total += i * 4 + j
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
97correctcode.trace.python-v1conf 100% · 827ms · $0.000 · 70 tok
question
Execute this Python snippet mentally. What is printed?
```python
total = 0
v = 9
while total + v <= 47:
if v % 3 != 0:
total += v
v += 3
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
0wrongcode.trace.js-v1conf 100% · 875ms · $0.000 · 58 tok
question
Evaluate the following JavaScript. What number is logged to the console? ```js const arr = [2, 3, 4, 5, 6, 7, 8, 9, 10, 11]; const out = arr .map(n => n * 6) .filter(n => n % 4 === 0) .reduce((a, b) => a + b, 0); console.log(out); ``` End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
144wrongcode.trace.nested-v1conf 100% · 930ms · $0.000 · 12 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 6):
for j in range(1, 5):
if j == 3 and i % 2 == 0:
break
if (i + j) % 3 == 0:
continue
total += i * 5 + j
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
105correctcode.trace.python-v1anchorconf 100% · 936ms · $0.000 · 76 tok
model answer:
0correctcode.trace.js-v1anchorconf 100% · 1.6s · $0.000 · 67 tok
model answer:
63wrongcode.trace.python-v1anchorconf 100% · 1.4s · $0.000 · 104 tok
model answer:
168wrongcode.trace.nested-v1anchorconf 99% · 1.4s · $0.000 · 12 tok
model answer:
184instruction following 15/30 correct
wrongif.constraints.stack-v1conf 99% · 1.4s · $0.000 · 57 tok
question
Write in English about a long journey, following ALL of these rules simultaneously: 1. Exactly 19 words. 2. The first word must be "delta" and the last word must be "drift". 3. Use the word "zephyr" exactly 2 times (in addition to rules 2 if they differ). 4. The letter "q" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
delta travelers crossed dunes as zephyr and zephyr guided long roads, until stars faded, then driftwrongif.format.acronym-v1conf 100% · 1.4s · $0.000 · 14 tok
question
Take the second letter of each of these words, in order: zephyr, cedar, basalt, lumen, ember, drift. Concatenate them in uppercase into a single string with no separators. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
EDAEEDcorrectif.format.repeat-v1conf 100% · 1.0s · $0.000 · 64 tok
question
Write the word "cedar" in capitalized form, repeated exactly 9 times, joined by the character "_" with no spaces. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
CEDAR_CEDAR_CEDAR_CEDAR_CEDAR_CEDAR_CEDAR_CEDAR_CEDARwrongif.constraints.stack-v1conf 98% · 874ms · $0.000 · 48 tok
question
Write in English about the sea, following ALL of these rules simultaneously: 1. Exactly 21 words. 2. The first word must be "prism" and the last word must be "cedar". 3. Use the word "quartz" exactly 3 times (in addition to rules 2 if they differ). 4. The letter "j" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
prism sea quartz hush tide foam drift moon salt wave quartz mist glow ebb quartz cedarwrongif.format.acronym-v1conf 100% · 1.2s · $0.000 · 17 tok
question
Take the first letter of each of these words, in order: tundra, delta, quartz, echo. Concatenate them in uppercase into a single string with no separators. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
TDEQcorrectif.format.repeat-v1conf 100% · 1.1s · $0.000 · 35 tok
question
Write the word "nova" in uppercase form, repeated exactly 4 times, joined by the character "/" with no spaces. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
NOVA/NOVA/NOVA/NOVAwrongif.constraints.stack-v1conf 93% · 1.0s · $0.000 · 71 tok
question
Write in English about a city at night, following ALL of these rules simultaneously: 1. Exactly 23 words. 2. The first word must be "falcon" and the last word must be "ember". 3. Use the word "orbit" exactly 2 times (in addition to rules 2 if they differ). 4. The letter "q" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
falcon city glows at night, orbit above towers, orbit below streets; lanterns drift, windows hum, rain gilds stone, emberwrongif.format.acronym-v1conf 100% · 906ms · $0.000 · 13 tok
question
Take the second letter of each of these words, in order: quartz, orbit, basalt, drift. Concatenate them in uppercase into a single string with no separators. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
UIBRcorrectif.format.repeat-v1conf 100% · 1.3s · $0.000 · 18 tok
question
Write the word "basalt" in capitalized form, repeated exactly 3 times, joined by the character "_" with no spaces. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
BASALT_BASALT_BASALTwrongif.constraints.stack-v1conf 84% · 1.1s · $0.000 · 50 tok
question
Write in English about winter mornings, following ALL of these rules simultaneously: 1. Exactly 17 words. 2. The first word must be "comet" and the last word must be "ember". 3. Use the word "tundra" exactly 2 times (in addition to rules 2 if they differ). 4. The letter "q" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
comet tundra dawns hush over pale fields, tundra glows, embercorrectif.format.acronym-v1conf 100% · 1.1s · $0.000 · 21 tok
question
Take the first letter of each of these words, in order: zephyr, cedar, quartz, basalt, delta, tundra. Concatenate them in uppercase into a single string with no separators. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
ZCQBDTcorrectif.format.repeat-v1conf 100% · 1.1s · $0.000 · 43 tok
question
Write the word "delta" in uppercase form, repeated exactly 8 times, joined by the character "_" with no spaces. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
DELTA_DELTA_DELTA_DELTA_DELTA_DELTA_DELTA_DELTAwrongif.constraints.stack-v1conf 91% · 1.2s · $0.000 · 63 tok
question
Write in English about a city at night, following ALL of these rules simultaneously: 1. Exactly 23 words. 2. The first word must be "ember" and the last word must be "echo". 3. Use the word "drift" exactly 2 times (in addition to rules 2 if they differ). 4. The letter "q" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
ember city lamps drift soft streets, drift among towers, night breath hums, windows glow, voices fade, stones hold moon echowrongif.constraints.stack-v1conf 99% · 3.6s · $0.000 · 60 tok
question
Write in English about winter mornings, following ALL of these rules simultaneously: 1. Exactly 19 words. 2. The first word must be "quartz" and the last word must be "delta". 3. Use the word "drift" exactly 2 times (in addition to rules 2 if they differ). 4. The letter "j" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
quartz winter mornings drift softly, pale frost glows, drift past sleeping roofs, hush settles, dawn breath, deltacorrectif.format.acronym-v1conf 100% · 1.3s · $0.000 · 15 tok
question
Take the first letter of each of these words, in order: delta, tundra, cedar, comet. Concatenate them in uppercase into a single string with no separators. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
DTCCcorrectif.format.repeat-v1conf 100% · 751ms · $0.000 · 33 tok
question
Write the word "zephyr" in lowercase form, repeated exactly 3 times, joined by the character "_" with no spaces. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
zephyr_zephyr_zephyrwrongif.format.acronym-v1conf 100% · 1.8s · $0.000 · 14 tok
question
Take the second letter of each of these words, in order: ember, delta, zephyr, nova, quartz, basalt. Concatenate them in uppercase into a single string with no separators. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
MEOAZAcorrectif.format.repeat-v1conf 100% · 1.0s · $0.000 · 65 tok
question
Write the word "quartz" in capitalized form, repeated exactly 7 times, joined by the character "-" with no spaces. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
QUARTZ-QUARTZ-QUARTZ-QUARTZ-QUARTZ-QUARTZ-QUARTZwrongif.constraints.stack-v1conf 97% · 1.0s · $0.000 · 43 tok
question
Write in English about winter mornings, following ALL of these rules simultaneously: 1. Exactly 21 words. 2. The first word must be "orbit" and the last word must be "echo". 3. Use the word "basalt" exactly 3 times (in addition to rules 2 if they differ). 4. The letter "q" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
orbit basalt dawns hush basalt frost, basalt windows pale echowrongif.format.acronym-v1conf 100% · 1.5s · $0.000 · 18 tok
question
Take the second letter of each of these words, in order: delta, basalt, lumen, nova, quartz. Concatenate them in uppercase into a single string with no separators. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
EAUQAcorrectif.format.repeat-v1conf 100% · 1.1s · $0.000 · 29 tok
question
Write the word "falcon" in capitalized form, repeated exactly 3 times, joined by the character "/" with no spaces. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
FALCON/FALCON/FALCONcorrectif.format.acronym-v1conf 100% · 968ms · $0.000 · 19 tok
question
Take the first letter of each of these words, in order: drift, zephyr, basalt, prism, quartz. Concatenate them in uppercase into a single string with no separators. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
DZBPQwrongif.constraints.stack-v1conf 87% · 1.2s · $0.000 · 46 tok
question
Write in English about a long journey, following ALL of these rules simultaneously: 1. Exactly 14 words. 2. The first word must be "quartz" and the last word must be "orbit". 3. Use the word "ember" exactly 2 times (in addition to rules 2 if they differ). 4. The letter "j" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
quartz ember drifted across dunes; ember faded; endless miles encircled orbitwrongif.constraints.stack-v1conf 99% · 2.4s · $0.000 · 67 tok
question
Write in English about an old machine, following ALL of these rules simultaneously: 1. Exactly 18 words. 2. The first word must be "lumen" and the last word must be "delta". 3. Use the word "zephyr" exactly 3 times (in addition to rules 2 if they differ). 4. The letter "q" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
lumen zephyr hums, an old machine drifts, zephyr, worn gears sing softly, zephyr deltacorrectif.format.repeat-v1conf 100% · 1.3s · $0.000 · 45 tok
question
Write the word "orbit" in capitalized form, repeated exactly 6 times, joined by the character "/" with no spaces. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
ORBIT/ORBIT/ORBIT/ORBIT/ORBIT/ORBITcorrectif.format.acronym-v1conf 100% · 899ms · $0.000 · 17 tok
question
Take the first letter of each of these words, in order: cedar, lumen, quartz, orbit. Concatenate them in uppercase into a single string with no separators. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
CLQOwrongif.constraints.stack-v1anchorconf 98% · 942ms · $0.000 · 70 tok
model answer:
drift through city haze, lumen on glass, lumen on rain, lumen on stone; streets hum, roofs glow, night holds orbitcorrectif.format.repeat-v1anchorconf 100% · 1.1s · $0.000 · 43 tok
model answer:
ECHO_ECHO_ECHO_ECHO_ECHO_ECHO_ECHO_ECHOcorrectif.format.repeat-v1anchorconf 100% · 926ms · $0.000 · 59 tok
model answer:
ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYRcorrectif.format.acronym-v1anchorconf 100% · 919ms · $0.000 · 13 tok
model answer:
ZDFQknowledge 30/30 correct
correctknowledge.fr.factbank-v2conf 100% · 1.5s · $0.000 · 14 tok
question
What is the element whose symbol is Hg? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Mercurycorrectknowledge.fr.factbank-v2conf 100% · 814ms · $0.000 · 14 tok
question
What is the element whose symbol is Sn? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Tincorrectknowledge.fr.factbank-v2conf 100% · 1.5s · $0.000 · 25 tok
question
Identify the author of "Snow Country". Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Yasunari Kawabatacorrectknowledge.fr.factbank-v2conf 100% · 1.5s · $0.000 · 19 tok
question
Name the author of "The Master and Margarita". Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Mikhail Bulgakovcorrectknowledge.fr.factbank-v2conf 100% · 857ms · $0.000 · 13 tok
question
What is the chemical element with symbol Pb? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Leadcorrectknowledge.fr.factbank-v2conf 100% · 906ms · $0.000 · 14 tok
question
What is the Australian capital city? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Canberracorrectknowledge.fr.factbank-v2conf 100% · 1.1s · $0.000 · 14 tok
question
Name the capital of Turkey. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Ankaracorrectknowledge.fr.factbank-v2conf 100% · 981ms · $0.000 · 12 tok
question
What is the capital of Nigeria? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Abujacorrectknowledge.fr.factbank-v2conf 100% · 1.2s · $0.000 · 13 tok
question
What is the chemical element with symbol Pb? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Leadcorrectknowledge.fr.factbank-v2conf 100% · 894ms · $0.000 · 13 tok
question
Identify the chemical element with symbol Pb. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Leadcorrectknowledge.fr.factbank-v2conf 100% · 854ms · $0.000 · 13 tok
question
Name the element whose symbol is Pb. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Leadcorrectknowledge.fr.factbank-v2conf 99% · 883ms · $0.000 · 15 tok
question
What is the Kazakh capital city? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Astanacorrectknowledge.fr.factbank-v2conf 100% · 895ms · $0.000 · 14 tok
question
Name the chemical element with symbol Hg. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Mercurycorrectknowledge.fr.factbank-v2conf 99% · 726ms · $0.000 · 13 tok
question
Name the Swiss capital (de facto). Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Berncorrectknowledge.fr.factbank-v2conf 100% · 1.6s · $0.000 · 19 tok
question
What is the writer of the novel "The Master and Margarita"? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Mikhail Bulgakovcorrectknowledge.fr.factbank-v2conf 100% · 2.2s · $0.000 · 19 tok
question
Identify the author of "The Master and Margarita". Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Mikhail Bulgakovcorrectknowledge.fr.factbank-v2conf 100% · 1.6s · $0.000 · 19 tok
question
Identify the writer of the novel "The Master and Margarita". Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Mikhail Bulgakovcorrectknowledge.fr.factbank-v2conf 100% · 862ms · $0.000 · 14 tok
question
Identify the Turkish capital city. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Ankaracorrectknowledge.fr.factbank-v2conf 100% · 1.1s · $0.000 · 15 tok
question
Identify the capital of Nigeria. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Abujacorrectknowledge.fr.factbank-v2conf 100% · 1.2s · $0.000 · 22 tok
question
Identify the writer of the novel "One Hundred Years of Solitude". Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Gabriel García Márquezcorrectknowledge.fr.factbank-v2conf 100% · 975ms · $0.000 · 13 tok
question
What is the chemical element with symbol W? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Tungstencorrectknowledge.fr.factbank-v2conf 100% · 1.1s · $0.000 · 15 tok
question
What is the Canadian capital city? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Ottawacorrectknowledge.fr.factbank-v2conf 100% · 859ms · $0.000 · 15 tok
question
Identify the element whose symbol is K. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Potassiumcorrectknowledge.fr.factbank-v2conf 100% · 787ms · $0.000 · 17 tok
question
Identify the element whose symbol is W. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Tungstencorrectknowledge.fr.factbank-v2conf 100% · 783ms · $0.000 · 15 tok
question
Name the capital of Nigeria. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Abujacorrectknowledge.fr.factbank-v2conf 100% · 930ms · $0.000 · 15 tok
question
Name the element whose symbol is K. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Potassiumcorrectknowledge.fr.factbank-v2anchorconf 100% · 1.4s · $0.000 · 14 tok
model answer:
Mercurycorrectknowledge.fr.factbank-v2anchorconf 100% · 1.3s · $0.000 · 17 tok
model answer:
Tungstencorrectknowledge.fr.factbank-v2anchorconf 100% · 2.2s · $0.000 · 12 tok
model answer:
Antimonycorrectknowledge.fr.factbank-v2anchorconf 100% · 1.1s · $0.000 · 13 tok
model answer:
Leadmath 12/30 correct
wrongmath.chained.pipeline-v1conf 100% · 962ms · $0.000 · 12 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 31 × 62. Step 2: Q = P × 5 − 487. Step 3: divide Q by 3: let q be the integer quotient and r the remainder. The final answer is q + r. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
36wrongmath.counterfactual.base-v1conf 99% · 935ms · $0.000 · 12 tok
question
Work strictly in base 11. Multiply the base-11 numbers 82 and 76. Give the result IN BASE 11 (digits beyond 9 are A, B, C). End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
526wrongmath.percent.chain-v2conf 99% · 844ms · $0.000 · 92 tok
question
An inventory starts at 72000 units. The company was founded 38 kilometers from the port. In the first month the inventory grows by 31%. The delivery van has a 15-liter fuel tank. The next month it shrinks by 20%, and the month after it grows by 12%. How many units remain (exact value, round to 2 decimals only if needed)? End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
84495.36correctmath.algebra.system-v2conf 100% · 1.1s · $0.000 · 128 tok
question
Solve the system, then answer the derived question. 8x + 7y = -406 8x − 9y = 10 What is the value of 5x − 5y? End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
-10wrongmath.arith.chain-v2conf 100% · 893ms · $0.000 · 13 tok
question
Compute the value of the following expression. (((56 × 86 − 515) × 3 + 7952) − 47 × 56) × 4 End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
13140wrongmath.chained.pipeline-v1conf 100% · 1.0s · $0.000 · 12 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 83 × 77. Step 2: Q = P × 3 − 213. Step 3: divide Q by 9: let q be the integer quotient and r the remainder. The final answer is q + r. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
660wrongmath.counterfactual.base-v1conf 99% · 886ms · $0.000 · 12 tok
question
Work strictly in base 11. Multiply the base-11 numbers 13 and 6A. Give the result IN BASE 11 (digits beyond 9 are A, B, C). End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
225wrongmath.percent.chain-v2conf 99% · 955ms · $0.000 · 104 tok
question
An inventory starts at 54000 units. A rival firm shipped 152 unrelated parcels the same week. In the first month the inventory grows by 24%. The company was founded 162 kilometers from the port. The next month it shrinks by 20%, and the month after it grows by 18%. How many units remain (exact value, round to 2 decimals only if needed)? End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
63211.84correctmath.algebra.system-v2conf 100% · 1.1s · $0.000 · 102 tok
question
Solve the system, then answer the derived question. 7x + 4y = 87 7x − 5y = -219 What is the value of 2x − 4y? End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
-150correctmath.arith.chain-v2conf 100% · 1.0s · $0.000 · 118 tok
question
Work out the exact value of this expression. (((51 × 58 − 406) × 7 + 5145) − 63 × 69) × 3 End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
55986wrongmath.counterfactual.base-v1conf 100% · 3.2s · $0.000 · 13 tok
question
Work strictly in base 9. Add the base-9 numbers 1068 and 483. Give the result IN BASE 9. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
6421wrongmath.chained.pipeline-v1conf 100% · 1.4s · $0.000 · 13 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 72 × 78. Step 2: Q = P × 6 − 466. Step 3: divide Q by 3: let q be the integer quotient and r the remainder. The final answer is q + r. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
9523correctmath.algebra.system-v2conf 100% · 790ms · $0.000 · 90 tok
question
Solve the system, then answer the derived question. 7x + 9y = 97 7x − 2y = 218 What is the value of 6x − 4y? End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
212wrongmath.percent.chain-v2conf 99% · 1.0s · $0.000 · 22 tok
question
An inventory starts at 91000 units. A rival firm shipped 83 unrelated parcels the same week. In the first month the inventory grows by 41%. The warehouse was painted 86 years ago. The next month it shrinks by 11%, and the month after it grows by 39%. How many units remain (exact value, round to 2 decimals only if needed)? End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
91713.37correctmath.arith.chain-v2conf 100% · 833ms · $0.000 · 113 tok
question
Calculate the following. Show your reasoning, then answer. (((50 × 27 − 832) × 7 + 8310) − 87 × 73) × 5 End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
27925correctmath.counterfactual.base-v1conf 100% · 2.0s · $0.000 · 30 tok
question
Work strictly in base 7. Add the base-7 numbers 10142 and 4621. Give the result IN BASE 7. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
15063wrongmath.chained.pipeline-v1conf 100% · 912ms · $0.000 · 12 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 24 × 17. Step 2: Q = P × 4 − 935. Step 3: divide Q by 3: let q be the integer quotient and r the remainder. The final answer is q + r. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
223wrongmath.percent.chain-v2conf 100% · 1.3s · $0.000 · 57 tok
question
An inventory starts at 91000 units. A rival firm shipped 101 unrelated parcels the same week. In the first month the inventory grows by 17%. The warehouse was painted 78 years ago. The next month it shrinks by 33%, and the month after it grows by 15%. How many units remain (exact value, round to 2 decimals only if needed)? End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
81981.855wrongmath.algebra.system-v2conf 100% · 992ms · $0.000 · 89 tok
question
Solve the system, then answer the derived question. 4x + 5y = 50 8x − 2y = -212 What is the value of 6x − 4y? End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
-352wrongmath.arith.chain-v2conf 99% · 1.0s · $0.000 · 13 tok
question
Evaluate the expression below and give the result. (((39 × 94 − 206) × 9 + 6631) − 51 × 42) × 4 End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
20000correctmath.chained.pipeline-v1conf 100% · 1.1s · $0.000 · 81 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 39 × 59. Step 2: Q = P × 9 − 533. Step 3: divide Q by 6: let q be the integer quotient and r the remainder. The final answer is q + r. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
3366wrongmath.counterfactual.base-v1conf 98% · 1.8s · $0.000 · 13 tok
question
Work strictly in base 7. Multiply the base-7 numbers 144 and 130. Give the result IN BASE 7. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
12120wrongmath.percent.chain-v2conf 99% · 1.1s · $0.000 · 74 tok
question
An inventory starts at 22000 units. Each pallet weighs about 140 grams more when wet. In the first month the inventory grows by 26%. A rival firm shipped 12 unrelated parcels the same week. The next month it shrinks by 39%, and the month after it grows by 5%. How many units remain (exact value, round to 2 decimals only if needed)? End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
17737.74correctmath.algebra.system-v2conf 100% · 1.1s · $0.000 · 111 tok
question
Solve the system, then answer the derived question. 5x + 5y = 200 9x − 8y = 258 What is the value of 2x − 5y? End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
38correctmath.arith.chain-v2conf 100% · 1.2s · $0.000 · 132 tok
question
Work out the exact value of this expression. (((83 × 52 − 943) × 4 + 9491) − 86 × 86) × 3 End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
46761correctmath.chained.pipeline-v1conf 100% · 781ms · $0.000 · 70 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 13 × 15. Step 2: Q = P × 7 − 296. Step 3: divide Q by 4: let q be the integer quotient and r the remainder. The final answer is q + r. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
268wrongmath.counterfactual.base-v1anchorconf 100% · 1.5s · $0.000 · 13 tok
model answer:
12126wrongmath.percent.chain-v2anchorconf 99% · 1.0s · $0.000 · 90 tok
model answer:
58434.89correctmath.algebra.system-v2anchorconf 100% · 1.2s · $0.000 · 137 tok
model answer:
87correctmath.arith.chain-v2anchorconf 100% · 971ms · $0.000 · 110 tok
model answer:
108153multilingual 25/30 correct
correctmultilingual.wordnum-v1conf 100% · 2.1s · $0.000 · 14 tok
question
A number is written in French: « trois cent quatre-vingt-un ». Another is written in Spanish: « doscientos doce ». Compute (French number) + (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
593correctmultilingual.numword-v2conf 100% · 850ms · $0.000 · 28 tok
question
Compute 355 + 435, then write the result out in French number words (lowercase). Answer with the French words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
sept cent quatre-vingt-dixcorrectmultilingual.wordnum-v1conf 100% · 1.8s · $0.000 · 13 tok
question
A number is written in French: « huit cent quatre-vingt-douze ». Another is written in Spanish: « seiscientos veinticinco ». Compute (French number) + (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
1517correctmultilingual.wordnum-v1conf 100% · 1.8s · $0.000 · 12 tok
question
A number is written in French: « trois cent deux ». Another is written in Spanish: « seiscientos ochenta y cuatro ». Compute (French number) + (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
986wrongmultilingual.numword-v2conf 100% · 1.5s · $0.000 · 25 tok
question
Compute 275 + 417, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
setecientos noventa y doscorrectmultilingual.numword-v2conf 100% · 1.1s · $0.000 · 27 tok
question
Compute 379 + 362, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
setecientos cuarenta y unocorrectmultilingual.wordnum-v1conf 100% · 2.6s · $0.000 · 12 tok
question
A number is written in French: « huit cent soixante-neuf ». Another is written in Spanish: « doscientos dieciséis ». Compute (French number) − (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
653correctmultilingual.wordnum-v1conf 100% · 2.5s · $0.000 · 15 tok
question
A number is written in French: « trois cent quarante-huit ». Another is written in Spanish: « ochocientos sesenta y nueve ». Compute (French number) − (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
-521correctmultilingual.numword-v2conf 100% · 940ms · $0.000 · 26 tok
question
Compute 109 + 314, then write the result out in French number words (lowercase). Answer with the French words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
quatre cent vingt-troiscorrectmultilingual.numword-v2conf 100% · 951ms · $0.000 · 20 tok
question
Compute 351 + 359, then write the result out in French number words (lowercase). Answer with the French words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
sept cent dixcorrectmultilingual.wordnum-v1conf 100% · 963ms · $0.000 · 12 tok
question
A number is written in French: « neuf cent douze ». Another is written in Spanish: « ciento noventa y tres ». Compute (French number) − (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
719correctmultilingual.wordnum-v1conf 100% · 1.7s · $0.000 · 14 tok
question
A number is written in French: « soixante-dix ». Another is written in Spanish: « doscientos cincuenta y uno ». Compute (French number) + (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
321correctmultilingual.numword-v2conf 100% · 862ms · $0.000 · 28 tok
question
Compute 150 + 237, then write the result out in French number words (lowercase). Answer with the French words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
trois cent quatre-vingt-septcorrectmultilingual.numword-v2conf 100% · 1.1s · $0.000 · 24 tok
question
Compute 297 + 153, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
cuatrocientos cincuentacorrectmultilingual.wordnum-v1conf 100% · 1.6s · $0.000 · 13 tok
question
A number is written in French: « quatre cent dix-huit ». Another is written in Spanish: « seiscientos ochenta y cinco ». Compute (French number) + (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
1103correctmultilingual.wordnum-v1conf 100% · 2.2s · $0.000 · 13 tok
question
A number is written in French: « huit cent quatre-vingt-seize ». Another is written in Spanish: « ciento veintisiete ». Compute (French number) + (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
1023correctmultilingual.numword-v2conf 100% · 840ms · $0.000 · 27 tok
question
Compute 370 + 197, then write the result out in French number words (lowercase). Answer with the French words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
cinq cent soixante-septcorrectmultilingual.wordnum-v1conf 100% · 2.8s · $0.000 · 12 tok
question
A number is written in French: « deux cent vingt et un ». Another is written in Spanish: « cuatrocientos noventa y uno ». Compute (French number) + (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
712correctmultilingual.numword-v2conf 100% · 1.2s · $0.000 · 27 tok
question
Compute 277 + 293, then write the result out in French number words (lowercase). Answer with the French words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
cinq cent soixante-dixcorrectmultilingual.numword-v2conf 100% · 1.6s · $0.000 · 25 tok
question
Compute 294 + 327, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
seiscientos veintiunocorrectmultilingual.wordnum-v1conf 99% · 1.1s · $0.000 · 12 tok
question
A number is written in French: « cinq cent soixante-deux ». Another is written in Spanish: « treinta y siete ». Compute (French number) − (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
525correctmultilingual.wordnum-v1conf 100% · 1.8s · $0.000 · 13 tok
question
A number is written in French: « quatre cent dix-huit ». Another is written in Spanish: « ochocientos veintinueve ». Compute (French number) + (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
1247wrongmultilingual.numword-v2conf 100% · 803ms · $0.000 · 21 tok
question
Compute 280 + 383, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
cuarenta y seiswrongmultilingual.numword-v2conf 100% · 1.0s · $0.000 · 21 tok
question
Compute 364 + 448, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
novecientos docecorrectmultilingual.wordnum-v1conf 100% · 1.2s · $0.000 · 12 tok
question
A number is written in French: « cent quatre ». Another is written in Spanish: « quinientos sesenta y nueve ». Compute (French number) − (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
-465correctmultilingual.wordnum-v1anchorconf 100% · 2.5s · $0.000 · 12 tok
model answer:
150wrongmultilingual.numword-v2conf 100% · 1.3s · $0.000 · 29 tok
question
Compute 477 + 372, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
novecientos cuarenta y nuevewrongmultilingual.numword-v2anchorconf 100% · 1.1s · $0.000 · 30 tok
model answer:
quatre cent soixante-dix-neufcorrectmultilingual.numword-v2anchorconf 100% · 1.2s · $0.000 · 15 tok
model answer:
seiscientos ochocorrectmultilingual.wordnum-v1anchorconf 100% · 1.0s · $0.000 · 12 tok
model answer:
762reasoning 10/30 correct
correctreasoning.deduction.position-v1conf 100% · 2.5s · $0.000 · 15 tok
question
Four people stand in a queue (number 1 is the front). Sami is directly ahead of Alice. Goran is directly ahead of Tessa. Alice is directly ahead of Goran. Tessa is number 4 in the queue. Who is number 4? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Tessacorrectreasoning.deduction.position-v1conf 100% · 2.4s · $0.000 · 15 tok
question
Four people stand in a queue (number 1 is the front). Farah is number 4 in the queue. Ines is directly ahead of Nadir. Nadir is directly ahead of Farah. Hana is directly ahead of Ines. Who is number 1? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Hanawrongreasoning.deduction.order-v2conf 99% · 1.6s · $0.000 · 15 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Quinn is faster than Farah. Alice is faster than Nadir. Alice is faster than Farah. Goran is faster than Quinn. Sami is faster than Alice. Farah is faster than Hana. Quinn is faster than Sami. Emil is taller than everyone here, but Emil is not being ranked. Nadir is faster than Farah. Sami is faster than Hana. Who is fifth (rank 5)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Samiwrongreasoning.deduction.order-v2conf 98% · 1.9s · $0.000 · 15 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Bruno is faster than Ines. Liam is older than everyone here, but Liam is not being ranked. Hana is faster than Emil. Jonas is faster than Ines. Emil is faster than Farah. Bruno is faster than Jonas. Hana is faster than Bruno. Ola is faster than Hana. Farah is faster than Jonas. Farah is faster than Bruno. Who is third (rank 3)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Olacorrectreasoning.deduction.position-v1conf 97% · 1.8s · $0.000 · 15 tok
question
Four people stand in a queue (number 1 is the front). Sami is number 2 in the queue. Tessa is directly ahead of Sami. Jonas is directly ahead of Priya. Who is number 4? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Priyawrongreasoning.deduction.order-v2conf 98% · 1.1s · $0.000 · 15 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Ines is heavier than everyone here, but Ines is not being ranked. Rosa is faster than Sami. Quinn is faster than Tessa. Quinn is faster than Sami. Goran is faster than Dara. Liam is faster than Goran. Tessa is faster than Rosa. Goran is faster than Tessa. Dara is faster than Rosa. Dara is faster than Quinn. Who is fifth (rank 5)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Darawrongreasoning.deduction.position-v1conf 100% · 1.8s · $0.000 · 15 tok
question
Four people stand in a queue (number 1 is the front). Goran is directly ahead of Dara. Dara is directly ahead of Tessa. Tessa is number 4 in the queue. Ines is directly ahead of Goran. Who is number 4? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Ineswrongreasoning.deduction.order-v2conf 95% · 2.2s · $0.000 · 14 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Dara is heavier than Sami. Kira is heavier than Priya. Farah is heavier than Sami. Priya is heavier than Dara. Chen is heavier than Kira. Farah is heavier than Dara. Kira is heavier than Alice. Priya is heavier than Farah. Alice is heavier than Priya. Bruno is older than everyone here, but Bruno is not being ranked. Who is sixth (rank 6)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Chencorrectreasoning.deduction.position-v1conf 99% · 1.7s · $0.000 · 15 tok
question
Four people stand in a queue (number 1 is the front). Goran is directly ahead of Liam. Bruno is number 2 in the queue. Priya is directly ahead of Bruno. Who is number 1? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Priyacorrectreasoning.deduction.order-v2conf 96% · 1.9s · $0.000 · 15 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Sami is faster than Emil. Sami is faster than Ines. Rosa is faster than Emil. Kira is faster than Goran. Chen is older than everyone here, but Chen is not being ranked. Sami is faster than Ines. Goran is faster than Sami. Emil is faster than Ines. Rosa is faster than Kira. Jonas is faster than Rosa. Who is fourth (rank 4)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Goranwrongreasoning.deduction.position-v1conf 99% · 2.0s · $0.000 · 14 tok
question
Four people stand in a queue (number 1 is the front). Goran is directly ahead of Kira. Kira is directly ahead of Sami. Sami is number 4 in the queue. Bruno is directly ahead of Goran. Who is number 3? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Brunowrongreasoning.deduction.order-v2conf 93% · 1.7s · $0.000 · 15 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Mona is faster than Liam. Farah is faster than Mona. Goran is faster than Dara. Sami is faster than Farah. Goran is faster than Liam. Goran is faster than Dara. Ola is taller than everyone here, but Ola is not being ranked. Liam is faster than Dara. Hana is faster than Sami. Mona is faster than Goran. Who is third (rank 3)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Hanawrongreasoning.deduction.position-v1conf 100% · 1.7s · $0.000 · 15 tok
question
Four people stand in a queue (number 1 is the front). Sami is number 4 in the queue. Goran is directly ahead of Nadir. Hana is directly ahead of Sami. Nadir is directly ahead of Hana. Who is number 3? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Samiwrongreasoning.deduction.order-v2conf 98% · 1.8s · $0.000 · 14 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Priya is heavier than Chen. Chen is heavier than Mona. Chen is heavier than Ines. Chen is heavier than Ines. Priya is heavier than Dara. Jonas is faster than everyone here, but Jonas is not being ranked. Bruno is heavier than Priya. Dara is heavier than Ines. Goran is heavier than Bruno. Mona is heavier than Dara. Who is third (rank 3)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Brunowrongreasoning.deduction.order-v2conf 99% · 2.1s · $0.000 · 14 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Ines is heavier than Quinn. Kira is heavier than Ines. Quinn is heavier than Priya. Priya is heavier than Farah. Alice is heavier than Priya. Quinn is heavier than Farah. Quinn is heavier than Alice. Tessa is older than everyone here, but Tessa is not being ranked. Farah is heavier than Rosa. Alice is heavier than Rosa. Who is sixth (rank 6)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Rosawrongreasoning.deduction.position-v1conf 99% · 1.6s · $0.000 · 14 tok
question
Four people stand in a queue (number 1 is the front). Bruno is directly ahead of Chen. Mona is number 1 in the queue. Nadir is directly ahead of Bruno. Who is number 2? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Monawrongreasoning.deduction.position-v1conf 100% · 1.9s · $0.000 · 13 tok
question
Four people stand in a queue (number 1 is the front). Priya is directly ahead of Farah. Alice is directly ahead of Priya. Farah is number 3 in the queue. Who is number 2? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Alicewrongreasoning.deduction.order-v2conf 98% · 1.9s · $0.000 · 15 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Dara is faster than Hana. Bruno is faster than Dara. Sami is faster than Dara. Liam is faster than Sami. Sami is faster than Bruno. Sami is faster than Dara. Bruno is faster than Hana. Rosa is heavier than everyone here, but Rosa is not being ranked. Hana is faster than Mona. Quinn is faster than Liam. Who is second (rank 2)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Samiwrongreasoning.deduction.position-v1conf 99% · 1.8s · $0.000 · 14 tok
question
Four people stand in a queue (number 1 is the front). Quinn is number 1 in the queue. Dara is directly ahead of Liam. Jonas is directly ahead of Dara. Who is number 3? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Liamcorrectreasoning.deduction.order-v2conf 97% · 2.0s · $0.000 · 15 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Kira is older than Rosa. Ola is older than Emil. Kira is older than Emil. Rosa is older than Ola. Jonas is older than Kira. Rosa is older than Dara. Chen is heavier than everyone here, but Chen is not being ranked. Emil is older than Dara. Priya is older than Jonas. Kira is older than Dara. Who is fifth (rank 5)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Olawrongreasoning.deduction.position-v1conf 100% · 1.5s · $0.000 · 14 tok
question
Four people stand in a queue (number 1 is the front). Hana is number 3 in the queue. Chen is directly ahead of Hana. Ola is directly ahead of Chen. Who is number 4? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Chencorrectreasoning.deduction.order-v2conf 92% · 2.4s · $0.000 · 13 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Ola is older than Bruno. Alice is older than Liam. Jonas is taller than everyone here, but Jonas is not being ranked. Liam is older than Hana. Bruno is older than Alice. Bruno is older than Tessa. Quinn is older than Alice. Bruno is older than Alice. Tessa is older than Quinn. Ola is older than Quinn. Who is fifth (rank 5)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Alicewrongreasoning.deduction.position-v1conf 99% · 2.4s · $0.000 · 14 tok
question
Four people stand in a queue (number 1 is the front). Dara is number 2 in the queue. Mona is directly ahead of Hana. Rosa is directly ahead of Dara. Who is number 2? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Rosacorrectreasoning.deduction.order-v2conf 94% · 1.9s · $0.000 · 15 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Farah is faster than Tessa. Farah is faster than Ines. Jonas is heavier than everyone here, but Jonas is not being ranked. Hana is faster than Quinn. Farah is faster than Ines. Kira is faster than Ines. Bruno is faster than Kira. Bruno is faster than Ines. Quinn is faster than Farah. Tessa is faster than Bruno. Who is third (rank 3)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Farahwrongreasoning.deduction.position-v1conf 99% · 1.7s · $0.000 · 15 tok
question
Four people stand in a queue (number 1 is the front). Bruno is number 2 in the queue. Goran is directly ahead of Ines. Nadir is directly ahead of Bruno. Who is number 3? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Nadirwrongreasoning.deduction.order-v2conf 98% · 1.9s · $0.000 · 14 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Emil is faster than Hana. Hana is faster than Mona. Priya is faster than Alice. Alice is faster than Emil. Kira is heavier than everyone here, but Kira is not being ranked. Liam is faster than Bruno. Alice is faster than Mona. Bruno is faster than Hana. Emil is faster than Mona. Bruno is faster than Priya. Who is third (rank 3)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Brunocorrectreasoning.deduction.position-v1anchorconf 98% · 1.7s · $0.000 · 14 tok
model answer:
Quinnwrongreasoning.deduction.order-v2anchorconf 98% · 2.0s · $0.000 · 14 tok
model answer:
Rosacorrectreasoning.deduction.position-v1anchorconf 99% · 1.9s · $0.000 · 15 tok
model answer:
Farahwrongreasoning.deduction.order-v2anchorconf 91% · 1.9s · $0.000 · 14 tok
model answer:
Quinnterminal 18/30 correct
correctterminal.exit.chain-v1conf 99% · 1.1s · $0.000 · 23 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` app.txt data.txt notes.txt ``` `notes.txt` contains exactly the words: basil, coral (one per line). No other files exist. These statements run in order: ```sh grep -q amber notes.txt && echo A || echo B true && echo C || echo D grep -q dune notes.txt && echo E || echo F test -f app.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
B
C
F
Z
exit:0wrongterminal.fs.tree-v1conf 98% · 2.0s · $0.000 · 66 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/conf`, `/proj/assets`, `/proj/build`): ``` /proj/assets/main.log /proj/build/notes.md /proj/conf/util.cfg /proj/draft.log /proj/todo.txt ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh mkdir -p assets/docs-2 cp conf/util.cfg build/ cp build/util.cfg conf/ cd . mv assets/main.log assets/index-1.cfg touch build/main-5.cfg mv build/notes.md build/setup-2.log mv build/main-5.cfg build/main-9.md ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
/proj/assets/docs-2
/proj/assets/index-1.cfg
/proj/build/main-9.md
/proj/build/setup-2.log
/proj/build/util.cfg
/proj/conf/util.cfg
/proj/draft.log
/proj/todo.txtcorrectterminal.pipeline.predict-v1conf 100% · 1.5s · $0.000 · 28 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score): ``` gus,legal,26,64 max,ops,4,35 lou,ops,8,66 oli,legal,12,30 jon,legal,25,70 bo,hr,72,44 ivy,eng,8,18 hal,ops,3,34 ana,eng,91,24 pam,hr,117,26 kim,eng,5,52 ``` What is the EXACT stdout of this command? ```sh grep -F ',hr,' people.csv | sort -t, -k3,3n | tail -n 3 ``` Notes: plain `sort` compares bytes (so "100" sorts before "9"); `sort -k3,3n` compares field 3 numerically. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
bo,hr,72,44
pam,hr,117,26correctterminal.exit.chain-v1conf 99% · 1.6s · $0.000 · 23 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` app.txt data.txt notes.txt ``` `notes.txt` contains exactly the words: dune, coral (one per line). No other files exist. These statements run in order: ```sh grep -q basil notes.txt && echo A || echo B false && echo C || echo D test -f data.txt && echo E || echo F test -f app.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
B
D
E
Z
exit:0wrongterminal.fs.tree-v1conf 98% · 2.0s · $0.000 · 47 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/logs`, `/proj/assets`, `/proj/build`): ``` /proj/assets/index.log /proj/assets/setup.cfg /proj/build/draft.log /proj/notes.txt /proj/todo.md ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh cp notes.txt build/ rm todo.md mv build/draft.log build/draft-5.cfg rm build/draft-5.cfg touch logs/setup-6.md cd logs cp ../../proj/notes.txt ./ cd . ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
/proj/assets/index.log
/proj/assets/setup.cfg
/proj/build/notes.txt
/proj/logs/notes.txt
/proj/logs/setup-6.mdcorrectterminal.pipeline.predict-v1conf 99% · 2.6s · $0.000 · 20 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score): ``` dev,hr,107,36 lou,hr,5,37 max,sales,77,15 pam,legal,42,20 eli,ops,83,70 ned,hr,98,76 jon,eng,6,98 oli,eng,73,69 kim,ops,20,60 ivy,hr,71,68 ``` What is the EXACT stdout of this command? ```sh grep -F ',legal,' people.csv | sort -t, -k3,3n | tail -n 2 ``` Notes: plain `sort` compares bytes (so "100" sorts before "9"); `sort -k3,3n` compares field 3 numerically. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
pam,legal,42,20wrongterminal.exit.chain-v1conf 99% · 1.6s · $0.000 · 23 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` app.txt data.txt notes.txt ``` `notes.txt` contains exactly the words: amber, coral (one per line). No other files exist. These statements run in order: ```sh test -f ghost.txt && echo A || echo B test -f ghost.txt && echo C || echo D true && echo E || echo F true && echo G || echo H test -f ghost.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
B
D
E
G
exit:0correctterminal.fs.tree-v1conf 99% · 2.7s · $0.000 · 59 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/logs`, `/proj/build`, `/proj/docs`): ``` /proj/build/setup.md /proj/docs/report.md /proj/logs/draft.log /proj/todo.md /proj/util.cfg ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh mv todo.md index-9.txt mkdir -p build/logs-4 mkdir -p build-7 rm util.cfg touch build-7/main-6.cfg touch build-7/main-2.txt cd docs mv ../../proj/logs/draft.log ../../proj/logs/util-6.txt cd ../../proj ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
/proj/build-7/main-2.txt
/proj/build-7/main-6.cfg
/proj/build/setup.md
/proj/docs/report.md
/proj/index-9.txt
/proj/logs/util-6.txtcorrectterminal.pipeline.predict-v1conf 100% · 1.9s · $0.000 · 19 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score): ``` fay,legal,46,85 bo,legal,82,95 dev,hr,75,57 max,sales,23,88 cy,sales,76,45 lou,ops,111,66 ana,legal,88,35 pam,eng,51,69 ivy,ops,89,85 kim,sales,103,43 oli,sales,88,75 gus,sales,84,97 hal,legal,6,75 eli,sales,55,40 ``` What is the EXACT stdout of this command? ```sh grep -F ',hr,' people.csv | sort -t, -k3,3n | tail -n 2 ``` Notes: plain `sort` compares bytes (so "100" sorts before "9"); `sort -k3,3n` compares field 3 numerically. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
dev,hr,75,57correctterminal.exit.chain-v1conf 99% · 1.2s · $0.000 · 21 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` app.txt data.txt notes.txt ``` `notes.txt` contains exactly the words: coral, dune (one per line). No other files exist. These statements run in order: ```sh grep -q amber notes.txt && echo A || echo B false && echo C || echo D grep -q dune notes.txt && echo E || echo F test -f ghost.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
B
D
E
exit:1wrongterminal.fs.tree-v1conf 99% · 2.4s · $0.000 · 48 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/build`, `/proj/logs`, `/proj/assets`): ``` /proj/assets/notes.cfg /proj/assets/setup.md /proj/build/report.md /proj/draft.log /proj/index.cfg ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh mkdir -p logs/src-5 cd . mv assets/setup.md ./ cp setup.md logs/src-5/ mv assets/notes.cfg assets/setup-4.md rm index.cfg mkdir -p logs/logs-4 ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
/proj/assets/notes.cfg
/proj/assets/setup-4.md
/proj/build/report.md
/proj/draft.log
/proj/logs/src-5/setup.mdcorrectterminal.pipeline.predict-v1conf 100% · 1.8s · $0.000 · 13 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):
```
max,hr,103,53
jon,sales,5,65
pam,sales,86,64
ned,eng,15,53
lou,ops,103,58
ana,sales,119,94
kim,hr,42,14
ivy,sales,43,32
eli,hr,45,26
cy,legal,78,60
bo,sales,6,94
oli,legal,97,17
dev,legal,117,68
```
What is the EXACT stdout of this command?
```sh
grep -F ',hr,' people.csv | awk -F, '$4 > 44 { n += 1 } END { print n }'
```
Notes: plain `sort` compares bytes (so "100" sorts before "9"); `sort -k3,3n` compares field 3 numerically.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
1wrongterminal.fs.tree-v1conf 97% · 1.9s · $0.000 · 58 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/docs`, `/proj/assets`, `/proj/logs`): ``` /proj/assets/setup.cfg /proj/docs/main.md /proj/logs/draft.cfg /proj/notes.txt /proj/todo.log ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh rm assets/setup.cfg cd . mkdir -p docs/build-3 cd docs/build-3 rm ../../../proj/todo.log touch ../../../proj/logs/setup-6.cfg mv ../../../proj/logs/setup-6.cfg ../../../proj/logs/util-5.cfg touch ../../../proj/setup-4.cfg ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
/proj/assets
/proj/docs/build-3
/proj/docs/main.md
/proj/logs/draft.cfg
/proj/logs/util-5.cfg
/proj/notes.txt
/proj/setup-4.cfgcorrectterminal.exit.chain-v1conf 99% · 1.3s · $0.000 · 23 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` app.txt data.txt notes.txt ``` `notes.txt` contains exactly the words: amber, basil (one per line). No other files exist. These statements run in order: ```sh true && echo A || echo B grep -q basil notes.txt && echo C || echo D grep -q amber notes.txt && echo E || echo F grep -q amber notes.txt && echo G || echo H test -f ghost.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
A
C
E
G
exit:1correctterminal.pipeline.predict-v1conf 99% · 1.7s · $0.000 · 15 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score): ``` cy,ops,51,86 dev,sales,107,94 ana,eng,83,10 eli,ops,97,70 oli,hr,30,55 fay,legal,113,39 max,legal,85,72 ivy,sales,18,65 jon,legal,4,88 pam,legal,29,75 gus,sales,5,67 kim,legal,37,13 ``` What is the EXACT stdout of this command? ```sh grep -F ',eng,' people.csv | cut -d, -f1,3 | sort | head -n 3 ``` Notes: plain `sort` compares bytes (so "100" sorts before "9"); `sort -k3,3n` compares field 3 numerically. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
ana,83correctterminal.exit.chain-v1conf 99% · 2.0s · $0.000 · 23 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` app.txt notes.txt ``` `notes.txt` contains exactly the words: dune, basil (one per line). No other files exist. These statements run in order: ```sh false && echo A || echo B grep -q coral notes.txt && echo C || echo D grep -q amber notes.txt && echo E || echo F false && echo G || echo H test -f ghost.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
B
D
F
H
exit:1wrongterminal.fs.tree-v1conf 98% · 1.6s · $0.000 · 75 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/assets`, `/proj/docs`, `/proj/conf`): ``` /proj/assets/setup.md /proj/conf/main.md /proj/docs/report.log /proj/notes.md /proj/util.md ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh cp assets/setup.md conf/ rm conf/main.md mkdir -p conf-2 touch docs/setup-5.md mkdir -p conf-2/src-3 mkdir -p conf/src-8 cd conf-2 ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
/proj/assets/setup.md
/proj/conf-2/src-3
/proj/conf-2/src-3/setup.md
/proj/docs/report.log
/proj/docs/setup-5.md
/proj/notes.md
/proj/util.md
/proj/conf/src-8
/proj/conf/setup.mdcorrectterminal.pipeline.predict-v1conf 100% · 1.6s · $0.000 · 13 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):
```
fay,eng,97,54
hal,eng,42,97
ned,sales,62,55
ana,legal,21,40
gus,eng,13,56
lou,legal,54,11
jon,eng,60,82
cy,ops,118,50
oli,eng,32,62
```
What is the EXACT stdout of this command?
```sh
grep -F ',ops,' people.csv | awk -F, '{ s += $3 } END { print s }'
```
Notes: plain `sort` compares bytes (so "100" sorts before "9"); `sort -k3,3n` compares field 3 numerically.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
118correctterminal.exit.chain-v1conf 99% · 1.7s · $0.000 · 21 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` app.txt data.txt notes.txt ``` `notes.txt` contains exactly the words: coral, basil (one per line). No other files exist. These statements run in order: ```sh test -f tmp.txt && echo A || echo B true && echo C || echo D true && echo E || echo F test -f ghost.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
B
C
E
exit:1correctterminal.fs.tree-v1conf 98% · 2.3s · $0.000 · 40 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/build`, `/proj/logs`, `/proj/docs`): ``` /proj/build/report.cfg /proj/draft.cfg /proj/logs/main.txt /proj/logs/todo.txt /proj/setup.cfg ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh rm logs/main.txt cd build cp report.cfg ../../proj/logs/ cp report.cfg ../../proj/docs/ rm ../../proj/setup.cfg mv ../../proj/logs/report.cfg ../../proj/logs/report-4.txt rm ../../proj/docs/report.cfg cd ../../proj/docs ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
/proj/build/report.cfg
/proj/draft.cfg
/proj/logs/report-4.txt
/proj/logs/todo.txtcorrectterminal.pipeline.predict-v1conf — · 2.1s · $0.000 · 17 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score): ``` max,hr,113,86 fay,ops,34,54 ana,sales,78,17 pam,legal,97,93 oli,ops,91,12 dev,legal,7,50 kim,hr,94,62 cy,sales,56,77 bo,hr,13,92 hal,legal,47,68 eli,sales,23,80 lou,eng,120,74 ivy,sales,52,87 gus,hr,70,36 ``` What is the EXACT stdout of this command? ```sh grep -F ',legal,' people.csv | cut -d, -f1,3 | sort | head -n 3 ``` Notes: plain `sort` compares bytes (so "100" sorts before "9"); `sort -k3,3n` compares field 3 numerically. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
dev,7
hal,47
pam,97correctterminal.exit.chain-v1conf 99% · 1.7s · $0.000 · 25 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` app.txt notes.txt ``` `notes.txt` contains exactly the words: coral, basil (one per line). No other files exist. These statements run in order: ```sh test -f app.txt && echo A || echo B false && echo C || echo D false && echo E || echo F false && echo G || echo H test -f app.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
A
D
F
H
Z
exit:0wrongterminal.fs.tree-v1conf 98% · 2.2s · $0.000 · 71 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/src`, `/proj/conf`, `/proj/assets`): ``` /proj/assets/draft.log /proj/assets/util.txt /proj/main.txt /proj/src/setup.log /proj/todo.log ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh mkdir -p assets/build-2 touch assets/index-5.cfg cp main.txt src/ rm src/setup.log touch main-7.txt touch src/util-1.log ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
/proj/assets/build-2
/proj/assets/draft.log
/proj/assets/index-5.cfg
/proj/assets/util.txt
/proj/main-7.txt
/proj/main.txt
/proj/src/main.txt
/proj/src/util-1.log
/proj/todo.logwrongterminal.pipeline.predict-v1conf 99% · 2.2s · $0.000 · 35 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score): ``` cy,hr,8,56 hal,legal,94,28 jon,hr,55,68 bo,legal,22,23 max,sales,109,69 ned,hr,73,87 ivy,hr,97,30 kim,sales,24,64 eli,ops,67,78 ana,legal,86,89 ``` What is the EXACT stdout of this command? ```sh grep -F ',legal,' people.csv | sort -t, -k3,3n | tail -n 3 ``` Notes: plain `sort` compares bytes (so "100" sorts before "9"); `sort -k3,3n` compares field 3 numerically. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
ana,legal,86,89
bo,legal,22,23
hal,legal,94,28correctterminal.exit.chain-v1conf 99% · 1.6s · $0.000 · 23 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` app.txt data.txt notes.txt ``` `notes.txt` contains exactly the words: amber, dune (one per line). No other files exist. These statements run in order: ```sh false && echo A || echo B grep -q dune notes.txt && echo C || echo D true && echo E || echo F test -f app.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
B
C
E
Z
exit:0wrongterminal.fs.tree-v1conf 98% · 1.8s · $0.000 · 76 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/src`, `/proj/build`, `/proj/logs`): ``` /proj/build/notes.log /proj/logs/index.log /proj/logs/setup.md /proj/main.md /proj/report.txt ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh mkdir -p src/docs-7 touch src/docs-7/setup-1.cfg cd logs cp ../../proj/main.md ../../proj/src/docs-7/ mkdir -p assets-3 mkdir -p ../../proj/src/docs-7/build-1 mv ../../proj/src/docs-7/setup-1.cfg ../../proj/src/docs-7/setup-7.cfg mkdir -p ../../proj/src/docs-7/build-1/logs-2 cd ../../proj/src/docs-7/build-1/logs-2 rm ../../../../../proj/build/notes.log cd ../../../../../proj/build ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
/proj/build/notes.log
/proj/logs/index.log
/proj/logs/setup.md
/proj/main.md
/proj/report.txt
/proj/src/docs-7/build-1/logs-2
/proj/src/docs-7/setup-7.cfg
/proj/src/docs-7/main.mdwrongterminal.pipeline.predict-v1anchorconf 99% · 1.7s · $0.000 · 35 tok
model answer:
oli,eng,40,31
eli,eng,60,55
max,eng,43,64correctterminal.exit.chain-v1anchorconf 99% · 1.7s · $0.000 · 23 tok
model answer:
B
D
E
G
exit:1wrongterminal.fs.tree-v1anchorconf 98% · 2.4s · $0.000 · 80 tok
model answer:
/proj/build-4
/proj/build/logs-1
/proj/build/logs-8
/proj/build/setup-8.md
/proj/build/todo-4.md
/proj/docs/report-8.cfg
/proj/docs/util.log
/proj/main.log
/proj/report.cfg
/proj/src/index.cfgwrongterminal.pipeline.predict-v1anchorconf 100% · 1.3s · $0.000 · 13 tok
model answer:
2vision ocr 28/30 correct
correctvision.ocr.table-read-v1conf 99% · 731ms · $0.001 · 12 tok
question
The image shows a table with columns ID, QTY, GRADE. Compute the MAXIMUM of QTY over the rows whose GRADE is "C". Answer with the number only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
74correctvision.ocr.code-hunt-v1conf 99% · 870ms · $0.001 · 14 tok
question
The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in BLUE. It uses only digits and uppercase letters. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
MUNCDUNCcorrectvision.ocr.table-read-v1conf 99% · 865ms · $0.001 · 12 tok
question
The image shows a table with columns ID, QTY, GRADE. Compute the SUM of QTY over the rows whose GRADE is "A". Answer with the number only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
69correctvision.ocr.code-hunt-v1conf 99% · 848ms · $0.001 · 15 tok
question
The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in ORANGE. It uses only digits and uppercase letters. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
JKDUHJUcorrectvision.ocr.table-read-v1conf 98% · 1.0s · $0.001 · 12 tok
question
The image shows a table with columns ID, QTY, GRADE. Compute the SUM of QTY over the rows whose GRADE is "A". Answer with the number only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
79correctvision.ocr.code-hunt-v1conf 98% · 967ms · $0.001 · 17 tok
question
The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in ORANGE. It uses only digits and uppercase letters. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
YV74H9R4correctvision.ocr.table-read-v1conf 99% · 723ms · $0.001 · 12 tok
question
The image shows a table with columns ID, QTY, GRADE. Compute the MAXIMUM of QTY over the rows whose GRADE is "C". Answer with the number only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
94correctvision.ocr.code-hunt-v1conf 97% · 1.1s · $0.001 · 14 tok
question
The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in ORANGE. It uses only digits and uppercase letters. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
CMHKDHUKcorrectvision.ocr.table-read-v1conf 98% · 710ms · $0.001 · 12 tok
question
The image shows a table with columns ID, QTY, GRADE. Compute the SUM of QTY over the rows whose GRADE is "D". Answer with the number only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
56wrongvision.ocr.code-hunt-v1conf 98% · 1.0s · $0.001 · 15 tok
question
The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in ORANGE. It uses only digits and uppercase letters. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
49JEXJMcorrectvision.ocr.table-read-v1conf 99% · 733ms · $0.001 · 12 tok
question
The image shows a table with columns ID, QTY, GRADE. Compute the SUM of QTY over the rows whose GRADE is "A". Answer with the number only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
62correctvision.ocr.code-hunt-v1conf 98% · 880ms · $0.001 · 13 tok
question
The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in ORANGE. It uses only digits and uppercase letters. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
MMUYTCcorrectvision.ocr.table-read-v1conf 99% · 2.0s · $0.001 · 12 tok
question
The image shows a table with columns ID, QTY, GRADE. Compute the MAXIMUM of QTY over the rows whose GRADE is "D". Answer with the number only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
63wrongvision.ocr.code-hunt-v1conf 99% · 1.9s · $0.001 · 15 tok
question
The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in BLUE. It uses only digits and uppercase letters. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
C9EDUPTHcorrectvision.ocr.table-read-v1conf 99% · 1.3s · $0.001 · 12 tok
question
The image shows a table with columns ID, QTY, GRADE. Compute the SUM of QTY over the rows whose GRADE is "A". Answer with the number only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
216correctvision.ocr.code-hunt-v1conf 99% · 1.2s · $0.001 · 14 tok
question
The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in PURPLE. It uses only digits and uppercase letters. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
EYTRPMcorrectvision.ocr.table-read-v1conf 98% · 712ms · $0.001 · 12 tok
question
The image shows a table with columns ID, QTY, GRADE. Compute the MAXIMUM of QTY over the rows whose GRADE is "D". Answer with the number only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
58correctvision.ocr.code-hunt-v1conf 99% · 832ms · $0.001 · 14 tok
question
The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in GREEN. It uses only digits and uppercase letters. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
PJDM9Fcorrectvision.ocr.table-read-v1conf 99% · 803ms · $0.001 · 12 tok
question
The image shows a table with columns ID, QTY, GRADE. Compute the SUM of QTY over the rows whose GRADE is "C". Answer with the number only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
40correctvision.ocr.code-hunt-v1conf 99% · 751ms · $0.001 · 14 tok
question
The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in RED. It uses only digits and uppercase letters. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
FPDTPTFcorrectvision.ocr.table-read-v1conf 98% · 908ms · $0.001 · 12 tok
question
The image shows a table with columns ID, QTY, GRADE. Compute the MAXIMUM of QTY over the rows whose GRADE is "C". Answer with the number only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
56correctvision.ocr.table-read-v1conf 99% · 935ms · $0.001 · 12 tok
question
The image shows a table with columns ID, QTY, GRADE. Compute the SUM of QTY over the rows whose GRADE is "A". Answer with the number only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
48correctvision.ocr.code-hunt-v1conf 99% · 1.2s · $0.001 · 14 tok
question
The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in PURPLE. It uses only digits and uppercase letters. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
YYAE3Xcorrectvision.ocr.code-hunt-v1conf 99% · 1.1s · $0.001 · 14 tok
question
The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in GREEN. It uses only digits and uppercase letters. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
EXUJJEcorrectvision.ocr.table-read-v1conf 98% · 1.2s · $0.001 · 12 tok
question
The image shows a table with columns ID, QTY, GRADE. Compute the SUM of QTY over the rows whose GRADE is "C". Answer with the number only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
119correctvision.ocr.code-hunt-v1conf 96% · 751ms · $0.001 · 14 tok
question
The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in RED. It uses only digits and uppercase letters. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
AVDMUDMNcorrectvision.ocr.table-read-v1anchorconf 99% · 700ms · $0.001 · 12 tok
model answer:
15correctvision.ocr.code-hunt-v1anchorconf 98% · 1.2s · $0.001 · 14 tok
model answer:
VX7993Dcorrectvision.ocr.code-hunt-v1anchorconf 98% · 1.5s · $0.001 · 17 tok
model answer:
YH9E4AWPcorrectvision.ocr.table-read-v1anchorconf 99% · 879ms · $0.001 · 12 tok
model answer:
25Run history
- 2026-08-05v0.2.0index_fit466
- 2026-08-05v0.2.0index_fit466
- 2026-08-05v0.2.0index_fit466