Raycaster/ Eval

APEX-Agents

Gemini 3.1 Pro on World246_SM_01

3/3Pass
Domain
Investment Banking
Category
AI Agents for Maritime and Environmental Liability
Harness
dual

Grader rubric

Criteria verdict

  1. States the new Enterprise value is $40,342.83 million

  2. States the new implied share price of the company is $17.16

  3. States % weight of PV of terminal value in the total new EV is 83.56%

Prompt excerpt

Task context

Reply back to me with the following values: - Implied share price. - Enterprise value - % weight of PV of terminal value in the total new EV. To get to the right answer, update the WACC calculation in the DCF model: replace the risk-free rate with the 5-year Treasury rate as of Dec 15, 2025, and use 4.33% as the total equity risk premium for the United States of America. Then, apply the following changes for the forecast years 2025E-2029E: reduce the operating margin by 2 percentage points in each forecast year, set the yearly revenue growth rate to 1.22% in each forecast year, and set CAPEX equal to D&A in each forecast year. Keep everything else the same. When you reply, round the values to two decimal places, express in $millions.

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.