APEX-Agents · Investment Banking
World221_oa_4
APEX-Agents task World221_oa_4 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
Using the merger model, recalculate the post-deal pro forma balance sheet in the “Post-Deal Proforma” tab under the following assumptions: - 50% cash consideration - 20% of balance sheet cash is used in the transaction - BBDC share price declines by 5% post-deal - New shares are issued at the updated (post-decline) share price Print back for me here: 1. Pro forma NAV per share 2. Pro forma Debt-to-Equity ratio Round both the per-share figure and the ratio to two decimal places.
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 | 0/2 | Fail | Run detailsPublic trace |
| GPT-5.4 mini | dual | 0/2 | Fail | Run detailsPublic trace |
| GPT-5.4 nano | 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 Nav per share is USD 10.87
States the Debt-to-Equity is 1.50x