APEX-Agents · Investment Banking
World224_OS_Task01
APEX-Agents task World224_OS_Task01 in AI Agents for Take-Private Analysis. Compare dual-harness agent runs across models — rubric criteria, scores, and public traces.
Task prompt
What the agent was asked to do
Return the Year 1 - Year 5 CAGR for Adjusted EBITDA. Round to two decimal places and display percentages with %. Write your answer straight back. I want you to use this info to update values in the LBO model: 1. Year 2 revenue growth rate increases 50 bps vs original case 2. Cost of revenue for 'subscription' increases by 15% YoY from Year 4 to Year 5
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-5.5showcase | dual | 0/1 | Fail | Share pagePublic trace |
| Gemini 3.1 Pro | dual | 0/1 | Fail | Share pagePublic trace |
| GPT-5.4 mini | dual | 0/1 | Fail | Share pagePublic trace |
| GPT-5.4 nano | dual | 0/1 | Fail | Share pagePublic trace |
Grading rubric
Criteria and grader verdict (showcase run)
States that the Year 1 to Year 5 adjusted EBITDA CAGR is 19.12%
FailEvidence: <TEXT_RESPONSE> is "22.18%". Assessment: The criterion requires stating that the Year 1 to Year 5 adjusted EBITDA CAGR is 19.12%; the response instead states 22.18%, so it does not meet the criterion.