Raycaster / evalsTask overviewAPEX-AgentsCategory

APEX-Agents · GPT-5.4 · dual

World126_JD_04

0/4Fail

GPT-5.4 on APEX-Agents: World126_JD_04 (dual harness). Browse score, rubric, and public trace.

0/4 · Fail
Management Consulting
AI Agents for ESG and Climate Risk Analysis
Management Consulting World 113.1

Grader rubric

Criteria verdict

  1. States that the Weighted Avg Expected Annual Return for KO is 6.31

  2. States that the Weighted Avg Expected Annual Return for MDLZ is 6.71

  3. States that the Weighted Stdev Expected Annual Return for KO is 2.59

  4. States that the Weighted Stdev Expected Annual Return for MDLZ is 2.77

Prompt excerpt

Task context

Please check how KO and MDLZ differ in expected upside once we apply the ESG and GLP-1 filters and account for each investor’s maximum allowable ESG risk level. Use the survey data and the ESG risk thresholds to determine which respondents are eligible to hold each company. Then calculate the confidence weighted average and standard deviation of expected annual return for KO and MDLZ. Show each company’s weighted average and standard deviation of expected annual returns. Round only the final results, going to two decimal places.

Response trace

Agent response, tools, files, and edits

Open full trace

On mobile, open the full trace for the best view of the agent response, tool calls, file reads, edits, and grading context.

Open mobile trace