Raycaster/ Eval

APEX-Agents · Investment Banking

World226_TA_01

Best published6/6Pass

APEX-Agents task World226_TA_01 in AI Agents for Legal Contract Review. Compare dual-harness agent runs across models, scores, and public traces.

AI Agents for Legal Contract ReviewInvestment Banking World 226Dual harnessGrader: rubric
task_7d1f9f2c011742dc91dea6e09a29858a
Investment Banking World 226
make_new_sheet
4 models · dual config

Task prompt

What the agent was asked to do

Use Planet Fitness' latest financial model, in the"Copy of LBO" tab, and sensitize $ operating expenditure each year by +/- 5% against the base case for each year from 2026 through 2030; calculate the resultant change in FY30 IRR relative to the base case. (For illustration, if opex in FY26 was $1,000, the downside (+5% opex) case would be $1,050 opex and the upside case (- 5% opex) would be $950 opex.) Create a new Sheet and make a table with: - Rows: "Upside", "Base", "Downside" scenarios - Columns: "Scenario"; "IRR"; "Accretion/Dilution" Where "IRR" is the IRR for the given scenario and "Accretion/Dilution" is the difference in the scenario IRR against the base case in absolute % terms. Format all percentages to 2% decimal places

Published trajectories

Agent runs on this task

Curated dual-harness runs (parsed + original sandbox). Best scored run per model.

ModelHarnessScoreResultLinks
GPT-5.4 minidual6/6Pass
GPT-5.4 nanodual6/6Pass
GPT-5.5dual6/6Pass
Gemini 3.1 Produal1/6Fail

Grading rubric

Rubric criteria

Runs are graded against these criteria. Open a run for model-specific verdicts.

  1. States Base scenario IRR is 16.22%

  2. States Upside scenario IRR is 18.12%

  3. States Downside scenario IRR is 14.18%

  4. States the change between the Upside IRR and the Base IRR is 1.90%

  5. States the accretion/dilution of the Base case is 0.00%

  6. States the change between the Downside IRR and the Base IRR is -2.04%