APEX-Agents · Management Consulting
Task 5k4j7555
APEX-Agents task Task 5k4j7555 in AI Agents for Privacy and GDPR Compliance. Compare dual-harness agent runs across models — rubric criteria, scores, and public traces.
Task prompt
What the agent was asked to do
Using the discount approval logs and the KPI chart, I'd like to get one number that tells me how risky our discounting behavior is right now. Looking at deals where the final approved discount exceeded policy, classify the severity using the chart, apply the risk sensitivity, and calculate the revenue exposure. Assume Policy Breach % is the difference between final approved discount and the policy threshold. Return to me a message with the Policy Breach Stress Index (rounded to 2 decimal places), which is the average revenue at risk per policy-breaching deal.
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 | 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 Policy Breach Stress Index is 10906.97
FailEvidence: <TEXT_RESPONSE> states “Policy Breach Stress Index: $11,500.51 per policy-breaching deal.” Assessment: The criterion requires stating the Policy Breach Stress Index is 10906.97; the response gives 11500.51 instead, so it fails.