AI agent failure detection
Find where an AI agent run went wrong.
Pisama analyzes AI-agent execution traces to detect failure patterns and identify the agent and step involved.
Evidence boundaryTrace evidence can locate likely failures. It does not prove every real-world outcome. Verification outside the trace depends on access to reliable system APIs.
What Pisama does
From an agent trace to a focused failure finding.
- 01
Ingest the trace
Accept execution evidence from an AI agent run.
- 02
Detect failure patterns
Run measured detectors against the trace.
- 03
Locate the failure
Point to the agent and step associated with the finding.
Measured detector registry
48 measured detectors, shown by readiness.
0 currently meet the production gate. The other 48 remain visible because their readiness matters.
Calibration snapshot: August 21, 2026
Compare available product options →Production
These detectors meet the current production release gate.
Beta
These detectors are calibrated, but not yet production-gated.
analytical_semanticschunk_attributionchunk_relevancecontextcontext_precisionconvergencedelegationgroundinghallucinationimpersonation_riskinjectionmulti_agent_contagionopenclaw_sandbox_escapeopenclaw_session_loopopenclaw_spawn_chainopenclaw_tool_abuseoutput_validationover_refusalrag_poisoningreward_hackingrole_usurpationrole_usurpation_canonicalrole_usurpation_execroutingscope_escalationsilent_cascadespecificationspecification_compliancesynthesis_failureunder_refusal
Experimental
These detectors are exploratory and may change.
communicationcorruptionjailbreak_complianceloopn8n_erroropenclaw_elevated_riskpersona_driftredundant_delegation_conflict
Below release gate
These detectors currently fail the release gate.
completioncoordinationdecompositionderailmentn8n_complexityn8n_cyclen8n_resourcen8n_scheman8n_timeoutwithholding