APEX-Agents · Investment Banking
World225_DK_01
APEX-Agents task World225_DK_01 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
Perform a DCF analysis for Golden Everest using the REIT model with the following parameters: - Hold EBITDA margin constant at 42% throughout the projection period - Hold Capex % of Revenue constant at 22% throughout the projection period - Assume a WACC of 9% - Assume Terminal Value is equal to 11 times final projection year EBITDA - Assume Net Debt is as given for 2024A - End-of-year discounting (not mid-year convention) Give me your reply showing the Golden Everest Equity Value in $ millions, rounded to the nearest million.
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 | 0/1 | Fail | Share pagePublic trace |
| Gemini 3.1 Pro | dual | 0/1 | Fail | Share pagePublic trace |
| GPT-5.4 mini | dual | 0/1 | Fail | Share pagePublic trace |
| GPT-5.4 nano | dual | 0/1 | Fail | Share pagePublic trace |
Grading rubric
Criteria and grader verdict (showcase run)
States Golden Everest Equity Value is $19,049
FailEvidence: <TEXT_RESPONSE> states “**Golden Everest Equity Value: $20,292 million**.” Assessment: The criterion requires that the response “States Golden Everest Equity Value is $19,049.” The stated value does not match, so this fails.