Raycaster/ Eval

APEX-Agents · Investment Banking

World224-HS-05

Best published4/4Pass

APEX-Agents task World224-HS-05 in AI Agents for Take-Private Analysis. Compare dual-harness agent runs across models, scores, and public traces.

AI Agents for Take-Private AnalysisInvestment Banking World 224Dual harnessGrader: rubric
task_6137ed8e71c541119bfc2b842364beea
Investment Banking World 224
message_in_console
4 models · dual config

Task prompt

What the agent was asked to do

Use the LBO model to assess the impact of a lower interest rate environment on the Year 5 exit IRR% target. 1. Decrease the existing senior debt cost by 50 bps starting at the beginning of Year 2. The senior debt cost should remain constant thereafter. 2. Decrease the existing subordinated debt cost by 25 bps starting at the beginning of Year 3. The subordinated debt cost should remain constant thereafter. 3. Recalculate the total interest cost for the impacted projection period (Year 2 to Year 5). 4. Note that all interest expense calculations must be based on the average of the beginning and ending debt balance in the period. Tell me the Net Debt at Exit, Sponsor Equity Value at Exit, MOIC, and IRR %. Print it here. All monetary results must be displayed in USD millions, rounded to two decimal places, and all percentages and multiples must also be rounded to two decimal points.

Published trajectories

Agent runs on this task

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

ModelHarnessScoreResultLinks
Gemini 3.1 Produal4/4Pass
GPT-5.4 minidual4/4Pass
GPT-5.4 nanodual4/4Pass
GPT-5.5dual4/4Pass

Grading rubric

Rubric criteria

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

  1. States Net Debt at Exit is $459.36M

  2. States Sponsor Equity Value at Exit is $28,570.73M

  3. States MOIC is 2.53x

  4. States IRR % is 20.44%