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APEX-Agents · Management Consulting

Word_129_PJ_01

1/1Pass

APEX-Agents task Word_129_PJ_01 in AI Agents for SaaS Due Diligence. Compare dual-harness agent runs across models — rubric criteria, scores, and public traces.

AI Agents for SaaS Due DiligenceManagement Consulting World 129Dual harnessGrader: rubric
task_0233800d9daf4459bc464ce2f1f822a8
Management Consulting World 129
message_in_console
5 models · dual config

Task prompt

What the agent was asked to do

I want to forecast total annual revenue for ServiceNow based on the competition's price benchmarking information available to us. For this analysis, calculate revenue for each of their tier/plan (like ITIL User (Base), ITOM Module etc.) based on the attached information. Optimal price multiplier refers to the percentage points above the minimum price point where the tier/plan will be priced. Report total forecast revenue in $m, rounded to one decimal place. Print your response here.

Published trajectories

Agent runs on this task

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

ModelHarnessScoreResultLinks
GPT-5.5showcasedual1/1Pass
Gemini 3.1 Produal1/1Pass
GPT-5.4dual1/1Pass
GPT-5.4 minidual1/1Pass
GPT-5.4 nanodual1/1Pass

Grading rubric

Criteria and grader verdict (showcase run)

  1. States the total forecast annual revenue for ServiceNow is $1,438.2 million

    Pass

    Evidence: TEXT_RESPONSE states “**Total forecast annual revenue: $1,438.2m**”. Assessment: The criterion requires stating the total forecast annual revenue for ServiceNow is $1,438.2 million; pass because the response gives exactly $1,438.2m.