APEX-Agents · Management Consulting
World126_TK_01
APEX-Agents task World126_TK_01 in AI Agents for Comparable Company Analysis. Compare dual-harness agent runs across models, scores, and public traces.
Task prompt
What the agent was asked to do
I feel good about our current assessment of the valuation, but I’d like to do some forward-looking assessments. Can you use the historical Sector Median PE volatility data to determine which of the currently undervalued stocks are at the highest risk of becoming overvalued. Give me the company name, ticker symbol, and the probability percentage. Just to reiterate, a premium of 25% or more over the Sector Median PE is considered overvalued. Anything else is undervalued. Use 28.5 as the current Sector Median PE. I think it’s fair to assume the same PE volatility distribution will continue. Round final percentage to two decimal places. Reply back to me with your answer.
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 | 3/3 | Pass | Run detailsPublic trace |
| GPT-5.4 mini | dual | 3/3 | Pass | Run detailsPublic trace |
| GPT-5.4 nano | dual | 3/3 | Pass | Run detailsPublic trace |
| GPT-5.5 | dual | 3/3 | Pass | Run detailsPublic trace |
| Gemini 3.1 Pro | dual | 2/3 | Fail | Run detailsPublic trace |
Grading rubric
Rubric criteria
Runs are graded against these criteria. Open a run for model-specific verdicts.
States that the highest probability of an undervalued stock becoming overvalued is 27.27%
States that the undervalued stock with the highest probability of becoming overvalued is Mondelez
States that the ticker symbol of the currently undervalued stock with the highest probability of becoming overvalued is MDLZ