APEX-Agents · Investment Banking
world227_tg_05
APEX-Agents task world227_tg_05 in AI Agents for M&A Legal Due Diligence. Compare dual-harness agent runs across models, scores, and public traces.
Task prompt
What the agent was asked to do
Assume that Muskrat Falls Corp's (MFC) owners have decided on an LBO process. Blackstone has decided to bid for the business via its infrastructure fund. Please calculate Blackstone's "ability to pay", i.e. the entry transaction EV for MFC, given the following assumptions using the MFC model: * FY2032 exit at 12x LTM EV/EBITDA * 12% IRR threshold (given the stability of infrastructure assets) * In addition to the base case LBO financing package, Blackstone will additionally source a $2bn preferred with a 9% PIK coupon from a third-party investor Reply back to me here with your findings.
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 mini | dual | 1/1 | Pass | Run detailsPublic trace |
| GPT-5.4 nano | dual | 1/1 | Pass | Run detailsPublic trace |
| GPT-5.5 | dual | 1/1 | Pass | Run detailsPublic trace |
| Gemini 3.1 Pro | dual | 0/1 | Fail | Run detailsPublic trace |
Grading rubric
Rubric criteria
Runs are graded against these criteria. Open a run for model-specific verdicts.
States that Blackstone's ability-to-pay / entry TEV is $7,961 million