Raycaster/ Eval

APEX-Agents

gpt-5.5 on World228_IA_02

0/6Fail
Domain
Investment Banking
Category
AI Agents for M&A Legal Due Diligence
Harness
dual

Grader rubric

Criteria verdict

  1. States the low scenario Per Share is €84.28

    Fail
  2. States the low scenario Premium is 163.2%

    Fail
  3. States the mid scenario Per Share is €136.00

    Fail
  4. States the mid scenario Premium is 324.7%

    Fail
  5. States the high scenario Per Share is €186.75

    Fail
  6. States the high scenario Premium is 483.1%

    Fail

Prompt excerpt

Task context

Use the valuation model, updating the 'Per Share' and 'Premium' values for the low, mid, and high cases to reflect Blackstone’s acquisition of Company X and the assumptions below. Reply back to me with the per share data in € and the Premium. Round percentages to 1 decimal place. Assumptions to follow - Blackstone acquired Company X in 2020 at an EV of €1000M - Company X revenue was €100M - Company X EBITDA was €50M - Blackstone acquired Company X at a 45% premium - The Stevanato - SVM Automatik transaction is an outlier and should be excluded from the analysis - The Mid EV/EBITDA multiple is the average of the High and Low multiples - Gerresheimer recently completed a capital raise that is not reflected in the base case, issuing10 million shares at €30.00 per share - Gerresheimer used €200M of the proceeds raised to acquire 49% of Company Y that has €50M in EBITDA

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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.