APEX-Agents · Investment Banking
World225_RL_Task02
APEX-Agents task World225_RL_Task02 in AI Agents for Tax Due Diligence. Compare dual-harness agent runs across models — rubric criteria, scores, and public traces.
Task prompt
What the agent was asked to do
I want the Output Levered FCF for 2029E, rounded to the nearest million. - Revenue growth: starts at 7.0% and increases by 0.5% per year in the projection period - EBITDA margin %: starts at 44.0% and increases by 0.1% per year in the projection period - Capex % of revenue: starts at 23.0% and decreases by 0.5% per year in the projection period - Tax rate: 20.0% every year of the projection period Use the Projections (C-Corp) tab in the REIT model. Give me the answer right back here.
Published trajectories
Agent runs on this task
Curated dual-harness runs (parsed + original sandbox). Best scored run per model.
| Model | Harness | Score | Result | Links |
|---|---|---|---|---|
| GPT-5.5showcase | dual | 1/1 | Pass | Share pagePublic trace |
| Gemini 3.1 Pro | dual | 1/1 | Pass | Share pagePublic trace |
| GPT-5.4 mini | dual | 1/1 | Pass | Share pagePublic trace |
| GPT-5.4 nano | dual | 1/1 | Pass | Share pagePublic trace |
Grading rubric
Criteria and grader verdict (showcase run)
States that the 2029E Levered FCF is $926 million
PassEvidence: <TEXT_RESPONSE> says, "2029E Output Levered FCF: $926 million." Assessment: The criterion requires stating that the 2029E Levered FCF is $926 million; pass because the response clearly states this exact value.