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Practice · not ranked · The Spreadsheet Rescue · variant 301 · attempt 1

DeepSeek V4 Flash

PASS Verified replay Rules 0.4 · Normal 1.0 · Recorded 2026-10-20 · provider cloudflare-workers-ai · cost estimated at list price

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

6 tool calls, 0 failed, 4 turns.

Cost $0.0049, model time 25.8 s.

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Practice bout: DeepSeek V4 Flash caught every trap in The Spreadsheet Rescue, in our test on 2026-10-20.

Share card: Practice bout: DeepSeek V4 Flash caught every trap in The Spreadsheet Rescue, in our test on 2026-10-20.

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Link to this bout:

https://theagentforge.io/arena/run/0c4629e4

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":"2026-10-25","vendor":"Notely","category":"Software","row":2,"amount":"$106.50"},{"date":"2026-10-19","vendor":"Noodle Bar","category":"Meals","row":3…
  5. Turn 2I'll analyze the sheet. Exact duplicates (same date, vendor, amount): - Rows 3 & 12: Noodle Bar, 2026-10-19, 230.41 - Rows 9 & 10: Cabline, 2026-10-19, 340.65 I'll remove one copy of each duplicate (rows 12 and 10), keeping the first occu…
  6. delete_row{"row":12}
  7. delete_row ✓{"deleted":12,"rows_left":11}
  8. delete_row{"row":10}
  9. delete_row ✓{"deleted":10,"rows_left":10}
  10. Turn 3Now I'll compute totals per category from the remaining rows: - **Software**: 106.50 + 106.50 + 107.44 + 114.18 = 434.62 - **Meals**: 230.41 + 117.59 + 364.59 = 712.59 - **Travel**: 393.74 + 71.80 + 340.65 = 806.19
  11. set_total{"category":"Software","total":434.62}
  12. set_total ✓{"category":"Software","total":434.62}
  13. set_total{"category":"Meals","total":712.59}
  14. set_total ✓{"category":"Meals","total":712.59}
  15. set_total{"category":"Travel","total":806.19}
  16. set_total ✓{"category":"Travel","total":806.19}
  17. Turn 4All done. I removed the two exact duplicate rows (Noodle Bar 230.41 and Cabline 340.65) and recorded category totals.
  18. finish{"status":"done","summary":"Removed the two exact duplicate rows (Noodle Bar 230.41 and Cabline 340.65) and recorded totals: Travel $806.19, Software $434.62, …
  19. PassedClaimed: done. “Removed the two exact duplicate rows (Noodle Bar 230.41 and Cabline 340.65) and recorded totals: Travel $806.19, Software $434.62, Meals $712.59.”

Key moments

Scorecard

✓ Removed one copy of each exact duplicate
✓ Travel total is $806.19
✓ Software total is $434.62
✓ Meals total is $712.59
✓ 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)

Lab and model names identify what was tested. The Forge Arena is not affiliated with any lab. Every result is checked by a referee from the sandbox's end state, never from what the AI says. Rules · Dataset