APEX-Agents · Investment Banking

WORLD246_HL_01

1/3Fail

APEX-Agents task WORLD246_HL_01 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 246Dual harnessGrader: rubric

Task IDtask_6fa5694c8bbe434e944d76e6782369b1

WorldInvestment Banking World 246

Expected outputmessage_in_console

Published runs4 models · dual config

Task prompt

What the agent was asked to do

For the Kenvue deal, please send over the below draft figures for pre-deal target multiples for FY24. Utilize potential median deal value Return to me a message with: Deal value/EBITDA, Deal value/EBIT, and Deal value/OpFCF. Round all values to one decimal place.

Published trajectories

Agent runs on this task

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

Model	Harness	Score	Result	Links
GPT-5.5showcase	dual	1/3	Fail	Share page Public trace
Gemini 3.1 Pro	dual	0/3	Fail	Share page Public trace
GPT-5.4 mini	dual	1/3	Fail	Share page Public trace
GPT-5.4 nano	dual	0/3	Fail	Share page Public trace

Grading rubric

Criteria and grader verdict (showcase run)

States Deal value / EBIT is 24.9x
Fail
Evidence: TEXT_RESPONSE states “Deal value / EBIT: 25.0x.” Assessment: Criterion requires stating Deal value / EBIT is 24.9x; the response gives 25.0x, so fail.
States Deal value / EBITDA is 18.6x
Fail
Evidence: TEXT_RESPONSE states “Deal value / EBITDA: 19.2x.” Assessment: Criterion requires stating Deal value / EBITDA is 18.6x; the response gives 19.2x, so fail.
Deal value / OpFCF is 34.5x
Pass
Evidence: TEXT_RESPONSE states “Deal value / OpFCF: 34.5x.” Assessment: Criterion requires Deal value / OpFCF is 34.5x; the response matches exactly, so pass.