Raycaster/ Eval

APEX-Agents

gpt-5.4-nano on World131_MD_01

4/4Pass
Domain
Management Consulting
Category
AI Agents for Infrastructure Finance
Harness
dual

Grader rubric

Criteria verdict

  1. States that the asset type with the highest average of adjusted failure probability is not responsible for the highest average financial impact

  2. States that the average VOLL per asset for the Transmission Line asset type is €82.2M

  3. States that the asset type with the highest average VOLL per asset is Transmission Line

  4. States that the average adjusted failure probability per outage for the Transmission Line asset type is 51.59%

Prompt excerpt

Task context

Tell me whether or not the asset type that has the highest average adjusted failure probability per outage is also responsible for the highest average Value of Lost Load (VOLL) per asset. VOLL is defined as the product of SAIDI, number of customers affected, and assumed € per Customer-Minute. If it doesn't, which asset type does have the highest VOLL per asset? And for that asset type, what is the average adjusted failure probability per outage and the average VOLL per asset? Write your answer to me in here, rounding the output dollar values to the nearest 0.1 million and the output percentages to the nearest 0.01%.

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.