APEX-Agents · Investment Banking
world227_tg_08
APEX-Agents task world227_tg_08 in AI Agents for Infrastructure Finance. Compare dual-harness agent runs across models, scores, and public traces.
Task prompt
What the agent was asked to do
Please use assumptions below for a more aggressive financial forecast, which is termed the "SuperUpside" case: - The drivers of the SuperUpside case adds to the "Upside" case the difference between the "Base" and the "Upside" cases in the MFC model. - For example, if the "Base" case for FY23 revenue growth is 3% and the "Upside" case is 5%, then the "SuperUpside" case is 7% (5% Upside + 2% difference between Base and Upside). - As a further example, if the "Base" case COGS % sales is 20% and the "Upside" case COGS % sales is 19%, then the "SuperUpside" case is 18% (19% Upside - 1% difference) Please calculate the FY29 change in cash assuming that management has decided on a debt-only refinancing (Option A / Case 1 in the model "toggle"). Please reply back to me with the answer, rounded to the millions of dollars.
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 | 1/1 | Pass | Run detailsPublic trace |
| 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 |
Grading rubric
Rubric criteria
Runs are graded against these criteria. Open a run for model-specific verdicts.
States FY29 change in cash is $642 million