Raycaster/ Eval

APEX-Agents · Investment Banking

World226_RM_02

Best published0/2Fail

APEX-Agents task World226_RM_02 in AI Agents for Tax Due Diligence. Compare dual-harness agent runs across models, scores, and public traces.

AI Agents for Tax Due DiligenceInvestment Banking World 226Dual harnessGrader: rubric
task_ffb8c59f52344a9494b3f14f06af692d
Investment Banking World 226
message_in_console
4 models · dual config

Task prompt

What the agent was asked to do

Using the LBO analysis, conduct a Purchase Price Allocation to show the amount of pro-forma goodwill created from this transaction. Also show the allocable purchase premium. Round all monetary values to the nearest million. Write back the results as a message to me in here. # Assumptions - Balance sheet figures sourced from the "Balance Sheet" tab, using FY25E data (as of Q425) - Intangible Assets Write Up: Intangible asset allocation %: 10.0%. Useful life assumption: 15 years - PP&E Write Up: PP&E write up %: 10.0%. Useful life assumption: 8 years - Tax rate of 25%

Published trajectories

Agent runs on this task

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

ModelHarnessScoreResultLinks
Gemini 3.1 Produal0/2Fail
GPT-5.4 minidual0/2Fail
GPT-5.4 nanodual0/2Fail
GPT-5.5dual0/2Fail

Grading rubric

Rubric criteria

Runs are graded against these criteria. Open a run for model-specific verdicts.

  1. States the Allocable Purchase Premium is $11,267mm

  2. States the Pro-Forma Goodwill is $10,385mm