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APEX-Agents · Investment Banking

World224_OS_Task05

0/2Fail

APEX-Agents task World224_OS_Task05 in AI Agents for Take-Private Analysis. Compare dual-harness agent runs across models — rubric criteria, scores, and public traces.

AI Agents for Take-Private AnalysisInvestment Banking World 224Dual harnessGrader: rubric
task_6cd51f118d214bb8b1fab9e3100f32e5
Investment Banking World 224
message_in_console
4 models · dual config

Task prompt

What the agent was asked to do

Reply back to me an updated IRR and MOIC. Round final numbers to two decimal places. Use the LBO and comps models to complete the analysis. Follow these assumptions: 1. Remove any comps with Enterprise Value/EBITDA multiples that are negative or greater than 4 times the current median. 2. Calculate the new median EV/EBITDA multiple and use that value +10.00x to replace the exit multiple on the 'LBO' tab of the LBO model 3. Update the senior debt amount on the 'LBO' tab to the minimum EV/Revenue multiple on the comps document

Published trajectories

Agent runs on this task

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

ModelHarnessScoreResultLinks
GPT-5.5showcasedual0/2Fail
Gemini 3.1 Produal0/2Fail
GPT-5.4 minidual0/2Fail
GPT-5.4 nanodual2/2Pass

Grading rubric

Criteria and grader verdict (showcase run)

  1. States the IRR is 16.56%

    Fail

    Evidence: <TEXT_RESPONSE> says “Updated IRR: 16.92%”. Assessment: Criterion requires the response to state the IRR is 16.56%; it states a different value, so fail.

  2. States the MOIC is 2.15x

    Fail

    Evidence: <TEXT_RESPONSE> says “Updated MOIC: 2.18x”. Assessment: Criterion requires the response to state the MOIC is 2.15x; it states a different value, so fail.