AI EVALUATION, IN CONTEXT.BY EQUALITY MACHINE

Claire Radar

CFAgentBench

CFAgentBench is an executable environment for autonomous construction-finance agents, with 1,014 task specifications across 8 domains and 77 families. A subset of 40 tasks (54 with PM extension) has oracle-validated evaluators. Grading uses state diffs, forbidden-side-effect checks, and required-output regexes, with an LLM judge only for reply quality. A public split of 711 tasks is available, and a private split of 303 is reserved for remote scoring.

Evidence available for this benchmark

Numeric results have not been collected for this source record. Use the paper, code or dataset below to check the task and experiments; this does not imply that the original work contains no results.

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Cited documents and dates (1)

Catalog collected on 2026-10-14; resources and fields reflect that saved source.

Evaluation context and evidence

Source
Claire Radar
Publisher
Not recorded
Benchmark release
2026-06-20
Collected
2026-10-14
Modality
Not recorded

These are source-reported observations, not independent reruns by this site. Check the task version, evaluation protocol, unit and reporting date before comparing models. Results from different setups are not a universal ranking.

Reported results 0

This source record has no numeric results in our collection. That does not mean a score of zero or that no public results exist. Consult the original resources above.