Raycaster/ Eval

APEX-Agents

gpt-5.5 on world227_tg_05

1/1Pass
Domain
Investment Banking
Category
AI Agents for M&A Legal Due Diligence
Harness
dual

Grader rubric

Criteria verdict

  1. States that Blackstone's ability-to-pay / entry TEV is $7,961 million

    Pass

Prompt excerpt

Task context

Assume that Muskrat Falls Corp's (MFC) owners have decided on an LBO process. Blackstone has decided to bid for the business via its infrastructure fund. Please calculate Blackstone's "ability to pay", i.e. the entry transaction EV for MFC, given the following assumptions using the MFC model: * FY2032 exit at 12x LTM EV/EBITDA * 12% IRR threshold (given the stability of infrastructure assets) * In addition to the base case LBO financing package, Blackstone will additionally source a $2bn preferred with a 9% PIK coupon from a third-party investor Reply back to me here with your findings.

Response trace

Agent response, tools, files, and edits

Open full trace

On a phone, the interactive viewer works best full-screen — pick the narrative report or the files & trajectory workspace.

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.