Monitor AI agent logs for anomalies

Stop discovering agent failures from customer complaints. Moyai clusters your traces, evaluates whether changes are problems or improvements, and alerts you—before users notice.

Cluster

Find what's different at scale.

Structural clustering groups traces by behavior patterns. Semantic outlier detection surfaces the deviations worth investigating—at 10,000+ logs per week.

Evaluate

Judge whether anomalies are problems.

Agent-as-judge compares outliers against representative samples. Custom evaluators for your domain—generic for common failures, specialized for regulated industries.

Alert

Fix failures before customers notice.

Incident detection and management—surface failures with reasoning, alert the right people in Slack, and coordinate who fixes what. Your team gets activated, not just notified.

Integrate

Connect in one line of code.

Works on top of LangSmith, Langfuse, or any OpenTelemetry-compatible tool. Keep your existing observability, add reliability on top.

Compatibility

Works out of the box with:

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Every other tool tells you something changed. We tell you if it's a problem—before your customers do.

Robert AustinRobert Hommes, Founder & CTO at Moyai