Raycaster/ Eval

APEX-Agents

gpt-5.4-nano on World 246_MM_03

0/5Fail
Domain
Investment Banking
Category
AI Agents for Maritime and Environmental Liability
Harness
dual

Grader rubric

Criteria verdict

  1. States the cleaned average using the Modified z-score is 22.75

  2. States the terminal value is $47,768 million

  3. States the EV is $42,192 million

  4. States the implied share price is $18.13

  5. States the difference relative the initial implied share price is $0.64

Prompt excerpt

Task context

Please get the most recent financial year’s EV/FCF multiples (cutoff date 20 Dec 2025) for the public comparables, as per the slides deck, to calculate a cleaned average using the Modified z-score (Median + MAD) approach, with cutoff = 3.0 for outliers (use the standard scaling constant). Then, use this average as exit multiple to calculate terminal value (TV) and baseline EV for Kenvue. What is the implied share price and the difference relative to the initial implied share price as per the DCF model? For final answers, round TV and EV in nearest million, share price and multiples to two decimal places. Carry full precision for intermediate calculations. Print your answer to me here.

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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.