APEX-Agents · Investment Banking

World224_OS_Task03

0/2Fail

APEX-Agents task World224_OS_Task03 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 IDtask_b8c97dbd83754a6fa133b0c01a318497

WorldInvestment Banking World 224

Expected outputmessage_in_console

Published runs4 models · dual config

Task prompt

What the agent was asked to do

Print out here the updated IRR and MOIC, rounded to two decimal places. Use the precedent transactions document and LBO model to complete the analysis. Assumptions: 1. Adjust the LBO model to have the premium % equal to Splunk Inc's revenue growth rate in the precedent transactions document 2. Adjust year 4 revenue growth in the LBO to New Relic, Inc's revenue growth rate in the precedent transactions document

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	0/2	Fail	Share page Public trace
Gemini 3.1 Pro	dual	0/2	Fail	Share page Public trace
GPT-5.4 mini	dual	1/2	Fail	Share page Public trace
GPT-5.4 nano	dual	1/2	Fail	Share page Public trace

Grading rubric

Criteria and grader verdict (showcase run)

States MOIC is 2.42x
Fail
Evidence: <TEXT_RESPONSE> states “MOIC: 2.45x.” Assessment: Criterion “States MOIC is 2.42x” is not met because the response gives 2.45x, not 2.42x.
States IRR is 19.33%
Fail
Evidence: <TEXT_RESPONSE> states “IRR: 19.65%.” Assessment: Criterion “States IRR is 19.33%” is not met because the response gives 19.65%, not 19.33%.