Raycaster/ Eval

APEX-Agents

gpt-5.4-mini on World126_TK_01

3/3Pass
Domain
Management Consulting
Category
AI Agents for Comparable Company Analysis
Harness
dual

Grader rubric

Criteria verdict

  1. States that the highest probability of an undervalued stock becoming overvalued is 27.27%

  2. States that the undervalued stock with the highest probability of becoming overvalued is Mondelez

  3. States that the ticker symbol of the currently undervalued stock with the highest probability of becoming overvalued is MDLZ

Prompt excerpt

Task context

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.

Response trace

Agent response, tools, files, and edits

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Why Eval exists · why Workspace exists

Public evidence and cloud agents are the same harness.

Eval exists so scores are inspectable—tasks, trajectories, artifacts, and rubric verdicts anyone can open.Workspace exists so people can automate real file work with that harness, and so Raycaster never evaluates work it cannot perform.