ClawProBench: Trace-Aware Evaluation for Agentic Runtimes
August 22, 2026
ClawProBench introduces a trace-aware evaluation framework for agents running on stateful runtimes like OpenClaw. It utilizes a 102-scenario full profile and a 68-scenario frozen holdout to measure performance across evidence acquisition, routing, and safety boundaries rather than just final outputs.
HOW THIS AFFECTS YOU
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builderYou can better benchmark how your agent's specific runtime configuration impacts reliability.
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researcherYou can move beyond final-answer metrics to evaluate specific failure modes in agent execution traces.