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APEX-Agents · Investment Banking

World228_IA_02

0/6Fail

APEX-Agents task World228_IA_02 in AI Agents for M&A Legal Due Diligence. Compare dual-harness agent runs across models — rubric criteria, scores, and public traces.

AI Agents for M&A Legal Due DiligenceInvestment Banking World 228Dual harnessGrader: rubric
task_baf672af7af44162b5c53c01fe2e2b90
Investment Banking World 228
message_in_console
4 models · dual config

Task prompt

What the agent was asked to do

Use the valuation model, updating the 'Per Share' and 'Premium' values for the low, mid, and high cases to reflect Blackstone’s acquisition of Company X and the assumptions below. Reply back to me with the per share data in € and the Premium. Round percentages to 1 decimal place. Assumptions to follow - Blackstone acquired Company X in 2020 at an EV of €1000M - Company X revenue was €100M - Company X EBITDA was €50M - Blackstone acquired Company X at a 45% premium - The Stevanato - SVM Automatik transaction is an outlier and should be excluded from the analysis - The Mid EV/EBITDA multiple is the average of the High and Low multiples - Gerresheimer recently completed a capital raise that is not reflected in the base case, issuing10 million shares at €30.00 per share - Gerresheimer used €200M of the proceeds raised to acquire 49% of Company Y that has €50M in EBITDA

Published trajectories

Agent runs on this task

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

ModelHarnessScoreResultLinks
GPT-5.5showcasedual0/6Fail
Gemini 3.1 Produal0/6Fail
GPT-5.4 minidual2/6Fail
GPT-5.4 nanodual0/6Fail

Grading rubric

Criteria and grader verdict (showcase run)

  1. States the low scenario Per Share is €84.28

    Fail

    Evidence: <TEXT_RESPONSE> table states Low Per Share is “€89.69.” Assessment: Criterion requires “States the low scenario Per Share is €84.28”; fail because the stated value is different.

  2. States the low scenario Premium is 163.2%

    Fail

    Evidence: <TEXT_RESPONSE> table states Low Premium is “180.1%.” Assessment: Criterion requires “States the low scenario Premium is 163.2%”; fail because the stated percentage is different.

  3. States the mid scenario Per Share is €136.00

    Fail

    Evidence: <TEXT_RESPONSE> table states Mid Per Share is “€144.12.” Assessment: Criterion requires “States the mid scenario Per Share is €136.00”; fail because the stated value is different.

  4. States the mid scenario Premium is 324.7%

    Fail

    Evidence: <TEXT_RESPONSE> table states Mid Premium is “350.0%.” Assessment: Criterion requires “States the mid scenario Premium is 324.7%”; fail because the stated percentage is different.

  5. States the high scenario Per Share is €186.75

    Fail

    Evidence: <TEXT_RESPONSE> table states High Per Share is “€198.55.” Assessment: Criterion requires “States the high scenario Per Share is €186.75”; fail because the stated value is different.

  6. States the high scenario Premium is 483.1%

    Fail

    Evidence: <TEXT_RESPONSE> table states High Premium is “520.0%.” Assessment: Criterion requires “States the high scenario Premium is 483.1%”; fail because the stated percentage is different.