APEX-Agents · Investment Banking
World246_SM_01
APEX-Agents task World246_SM_01 in AI Agents for Maritime and Environmental Liability. Compare dual-harness agent runs across models, scores, and public traces.
Task prompt
What the agent was asked to do
Reply back to me with the following values: - Implied share price. - Enterprise value - % weight of PV of terminal value in the total new EV. To get to the right answer, update the WACC calculation in the DCF model: replace the risk-free rate with the 5-year Treasury rate as of Dec 15, 2025, and use 4.33% as the total equity risk premium for the United States of America. Then, apply the following changes for the forecast years 2025E-2029E: reduce the operating margin by 2 percentage points in each forecast year, set the yearly revenue growth rate to 1.22% in each forecast year, and set CAPEX equal to D&A in each forecast year. Keep everything else the same. When you reply, round the values to two decimal places, express in $millions.
Published trajectories
Agent runs on this task
Curated dual-harness runs (parsed + original sandbox). Best scored run per model.
| Model | Harness | Score | Result | Links |
|---|---|---|---|---|
| Gemini 3.1 Pro | dual | 3/3 | Pass | Run detailsPublic trace |
| GPT-5.4 mini | dual | 3/3 | Pass | Run detailsPublic trace |
| GPT-5.4 nano | dual | 3/3 | Pass | Run detailsPublic trace |
| GPT-5.5 | dual | 3/3 | Pass | Run detailsPublic trace |
Grading rubric
Rubric criteria
Runs are graded against these criteria. Open a run for model-specific verdicts.
States the new Enterprise value is $40,342.83 million
States the new implied share price of the company is $17.16
States % weight of PV of terminal value in the total new EV is 83.56%