Raycaster/ Eval

APEX-Agents · Management Consulting

World131_MD_01

Best published4/4Pass

APEX-Agents task World131_MD_01 in AI Agents for Infrastructure Finance. Compare dual-harness agent runs across models, scores, and public traces.

AI Agents for Infrastructure FinanceManagement Consulting World 131Dual harnessGrader: rubric
task_55a201bd877a42eeb0e1868fb6a84230
Management Consulting World 131
message_in_console
6 models · dual config

Task prompt

What the agent was asked to do

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%.

Published trajectories

Agent runs on this task

Curated dual-harness runs (parsed + original sandbox). Best scored run per model.

ModelHarnessScoreResultLinks
GPT-5.4dual4/4Pass
GPT-5.4 nanodual4/4Pass
GPT-5.5dual4/4Pass
Gemini 3 Flashdual3/4Fail
Gemini 3.1 Produal3/4Fail
GPT-5.4 minidual3/4Fail

Grading rubric

Rubric criteria

Runs are graded against these criteria. Open a run for model-specific verdicts.

  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%