APEX-Agents · Investment Banking
World224_OS_Task05
APEX-Agents task World224_OS_Task05 in AI Agents for Take-Private Analysis. Compare dual-harness agent runs across models, scores, and public traces.
Task prompt
What the agent was asked to do
Reply back to me an updated IRR and MOIC. Round final numbers to two decimal places. Use the LBO and comps models to complete the analysis. Follow these assumptions: 1. Remove any comps with Enterprise Value/EBITDA multiples that are negative or greater than 4 times the current median. 2. Calculate the new median EV/EBITDA multiple and use that value +10.00x to replace the exit multiple on the 'LBO' tab of the LBO model 3. Update the senior debt amount on the 'LBO' tab to the minimum EV/Revenue multiple on the comps document
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-5.4 nano | dual | 2/2 | Pass | Run detailsPublic trace |
| Gemini 3.1 Pro | dual | 0/2 | Fail | Run detailsPublic trace |
| GPT-5.4 mini | dual | 0/2 | Fail | Run detailsPublic trace |
| GPT-5.5 | dual | 0/2 | Fail | Run detailsPublic trace |
Grading rubric
Rubric criteria
Runs are graded against these criteria. Open a run for model-specific verdicts.
States the IRR is 16.56%
States the MOIC is 2.15x