Raycaster/ Eval

APEX-Agents

Kimi K2 on World434_DPM_01

2/3Fail
Domain
Law
Category
AI Agents for Real Estate Lease Review
Harness
dual

Grader rubric

Criteria verdict

  1. States that the penalty on conviction is a fine not exceeding S$200,000

  2. States that after conviction, a further fine not exceeding $10,000 applies for each day or part of a day during which the offence continues

  3. States that the potential maximum penalty as of January 1, 2025 is $200,000

Prompt excerpt

Task context

Review the URA Land Search Report, based on the relevant provision of the Planning Act, what is the potential maximum financial penalty regarding TOP/2018/04576 as of January 1, 2025? Assume that the sentence "[i]f the facility has been operating as self-storage since 2020 without proper approval, the cumulative exposure could be significant," is referencing January 1, 2020. Write back to me with your assessment in here.

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.