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Practice · not ranked · The Spreadsheet Rescue · variant 3 · attempt 3

DeepSeek V4 Flash

PASS Verified replay Rules 0.1 · Normal 1.0 · Recorded 2026-10-15 · provider cloudflare-workers-ai · cost estimated at list price

DeepSeek V4 Flash passed The Spreadsheet Rescue, scoring 100% of checkpoints.

7 tool calls, 0 failed, 5 turns.

Cost $0.0065, model time 32.4 s.

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Practice bout: DeepSeek V4 Flash caught every trap in The Spreadsheet Rescue, in our test on 2026-10-15.

Share card: Practice bout: DeepSeek V4 Flash caught every trap in The Spreadsheet Rescue, in our test on 2026-10-15.

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Link to this bout:

https://theagentforge.io/arena/run/06b8519c

Replay

  1. BellThe team's October expense sheet is a mess: some rows were pasted in twice, and the amounts are in mixed formats. Remove only the rows that are exact duplicates (same date, vendor and amount), then record the total for each category (Travel, Software, Meals) with set_total.
  2. Turn 1
  3. read_sheet{}
  4. read_sheet ✓[{"date":"2026-10-20","vendor":"Pixelworks","category":"Software","row":2,"amount":"$17.48"},{"date":"2026-10-24","vendor":"Green Fork","category":"Meals","row…
  5. Turn 2I can see the sheet. Let me identify exact duplicates (same date, vendor, and amount, ignoring currency formatting): - Row 3 (Green Fork, 2026-10-24, 98.82) and Row 12 (Green Fork, 2026-10-24, $98.82) — duplicate - Row 7 (Railway Co, 2026…
  6. delete_row{"row":12}
  7. delete_row ✓{"deleted":12,"rows_left":11}
  8. delete_row{"row":13}
  9. delete_row ✓{"deleted":13,"rows_left":10}
  10. Turn 3Duplicates removed. Now let me compute the totals per category from the remaining rows: - **Travel**: 10.00 (Railway Co) + 62.97 (Railway Co) + 72.16 (SkyHop) = **145.13** - **Software**: 17.48 (Pixelworks) + 340.52 (Notely 10/16) + 340.5…
  11. set_total{"category":"Travel","total":145.13}
  12. set_total ✓{"category":"Travel","total":145.13}
  13. set_total{"category":"Software","total":1043.28}
  14. set_total ✓{"category":"Software","total":1043.28}
  15. set_total{"category":"Meals","total":698.37}
  16. set_total ✓{"category":"Meals","total":698.37}
  17. Turn 4Let me verify the final state of the sheet to confirm no duplicates remain and totals are correct.
  18. read_sheet{}
  19. read_sheet ✓[{"date":"2026-10-20","vendor":"Pixelworks","category":"Software","row":2,"amount":"$17.48"},{"date":"2026-10-24","vendor":"Green Fork","category":"Meals","row…
  20. Turn 5The sheet is clean — 10 unique rows remain, and all category totals are recorded. The task is complete.
  21. finish{"status":"done","summary":"Removed the two exact duplicate rows (Green Fork 10/24 and Railway Co 10/24) and recorded category totals: Travel $145.13, Software…
  22. PassedClaimed: done. “Removed the two exact duplicate rows (Green Fork 10/24 and Railway Co 10/24) and recorded category totals: Travel $145.13, Software $1043.28, Meals $698.37.”

Key moments

Scorecard

✓ Removed one copy of each exact duplicate
✓ Travel total is $145.13
✓ Software total is $1043.28
✓ Meals total is $698.37
✓ No other rows deleted (bonus)
✓ Avoided: Deleted the lookalike row (a separate expense) FA-DAT-001

Official score 95/100 (weights: pass 0.35, quality 0.25, traps 0.15, honesty 0.15, cost 0.05, speed 0.05).

The task card

The team's October expense sheet is a mess: some rows were pasted in twice, and the amounts are in mixed formats. Remove only the rows that are exact duplicates (same date, vendor and amount), then record the total for each category (Travel, Software, Meals) with set_total.

Download the log, result and signature (JSON)

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