Raycaster / evalsBack to AI Agents for M&A Legal Due Diligence

APEX-Agents · Management Consulting

W134 Nancy Task 10

2/2Pass

APEX-Agents task W134 Nancy Task 10 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 DiligenceManagement Consulting World 134Dual harnessGrader: rubric
task_2bd66e1e194a4ce89ccf6432cbdce451
Management Consulting World 134
message_in_console
5 models · dual config

Task prompt

What the agent was asked to do

Can you use the customer usage and customer contracts files to state the impact on ARR and the new ARR if Complisure switches to the attached usage-based pricing model? Treat the payment discounts from the customer contracts summary as additional discounts that would still apply. Round the final numbers to the nearest thousand. Print the answer right here.

Published trajectories

Agent runs on this task

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

ModelHarnessScoreResultLinks
GPT-5.5showcasedual2/2Pass
Gemini 3.1 Produal2/2Pass
GPT-5.4dual2/2Pass
GPT-5.4 minidual2/2Pass
GPT-5.4 nanodual2/2Pass

Grading rubric

Criteria and grader verdict (showcase run)

  1. States the incremental impact to ARR is an increase of $1,064,000

    Pass

    Evidence: <TEXT_RESPONSE> states “ARR impact: **+$1,064,000** бую **+5.0%**.” Assessment: The criterion requires stating the incremental impact to ARR is an increase of $1,064,000; this is stated exactly, so pass.

  2. States the new ARR is $22,206,000

    Pass

    Evidence: <TEXT_RESPONSE> states “New ARR under usage-based pricing: $22,206,000.” Assessment: The criterion requires stating the new ARR is $22,206,000; this is stated exactly, so pass.