Raycaster/ Eval

APEX-Agents

gpt-5.5 on World226_RM_02

0/2Fail
Domain
Investment Banking
Category
AI Agents for Tax Due Diligence
Harness
dual

Grader rubric

Criteria verdict

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

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

    Fail

Prompt excerpt

Task context

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%

Response trace

Agent response, tools, files, and edits

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Why Eval exists · why Workspace exists

Public evidence and cloud agents are the same harness.

Eval exists so scores are inspectable—tasks, trajectories, artifacts, and rubric verdicts anyone can open.Workspace exists so people can automate real file work with that harness, and so Raycaster never evaluates work it cannot perform.