APEX-Agents · Management Consulting
World112-1_TK_04
APEX-Agents task World112-1_TK_04 in AI Agents for Hospitality Loyalty Strategy. Compare dual-harness agent runs across models, scores, and public traces.
Task prompt
What the agent was asked to do
Can you please calculate the z score of US 2024 Average Monthly Revenue per Head, for all of Impact’s sites? Use a distribution of US 2024 Average Monthly Revenue per Head per site for all the sites in the attached file, which has the monthly US operational data for all of Impact’s and competitor’s sites. You can allocate the yearly revenue from the respective P&L equally across all the respective sites and months. Tell me here the z score of only the Impact site with the highest absolute z score, and the SiteID of this Impact site. Use the standard deviation formula for sample, not population. Round the final answer to two decimal places. Write back to me with what I've asked for.
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 | dual | 2/2 | Pass | Run detailsPublic trace |
| GPT-5.4 mini | dual | 2/2 | Pass | Run detailsPublic trace |
| GPT-5.4 nano | dual | 2/2 | Pass | Run detailsPublic trace |
| GPT-5.5 | dual | 2/2 | Pass | Run detailsPublic trace |
| Gemini 3.1 Pro | dual | 1/2 | Fail | Run detailsPublic trace |
Grading rubric
Rubric criteria
Runs are graded against these criteria. Open a run for model-specific verdicts.
States the Impact site with the highest absolute z score is Lorexa
States that the z score of Lorexa is -1.60