Catch rogue agents, not just errors.Catch rogue agents, not just errors.
Moyai automatically finds behavioral anomalies in your traces and tells you which ones are actually relevant. Plug and play into your existing observability stack in minutes.
Langfuse
LangSmith
OpenTelemetry- CAsev-1Checkout Agenttrace_8f2a1c
- SRsev-2Support Routertrace_41b2e9
- IEsev-2Invoice Extractortrace_c07d55
- OCsev-3Onboarding Copilottrace_2ae930
- SPsev-3Search Plannertrace_9d4f18
- gpt-4o42%
- claude-sonnet-418%
- gpt-4o-mini14%
- gemini-2.0-flash11%
- o1-mini8%
- Other7%
- CJCluster Judge flagged 42 outliers in checkout-agent2m ago
- SWSignal Watch opened INC-001 · tool misuse8m ago
- LSLangfuse Sync ingested 12,400 traces14m ago
- CJCluster Judge cleared 6 traces as expected drift22m ago
- SRSlack Route notified #agent-oncall31m ago
- OSOTel Sync ingested 3,180 spans45m ago
You have observability. You don't have reliability.
Your traces show what your agent did. They don't catch the agent going rogue. Rogue behavior is where anomalies compound, silently, across every similar request.
Your traces show what happened. Not what's off.
Langfuse shows you 10,000 traces. Which ones have problems? Your team stares at logs for hours hoping patterns emerge.
Problematic behavior hides in the volume because observability tools show everything
Your evals pass. Your agent still fails.
You wrote evals for the failures you anticipated. The ones you didn't anticipate ship to production.
A wrong tool call, a subtle context loss, a confident wrong answer. These don't trigger alerts because nobody wrote a rule for them.
Your customers or regulators are your monitoring system.
The gap between "something's off" and "you noticed" is measured in lost trust, support tickets or non-compliance.
By the time a user complains, the failure has been compounding across every similar request for days.
See what Moyai finds in your traces. First agent scan is free.
Find what's wrong. Know why. Fix it first.
Moyai reads your existing agent logs, surfaces behavioral anomalies, verifies whether they're real failures, and routes problems to your team via Slack (or other messaging app).
- A.
- Surface anomalies your evals will never catch.Structural and semantic clustering groups your traces by behavior, then finds the outliers. No rules to write. No failure definitions upfront. Moyai finds what's different and surfaces what actually deviates from your agent's normal behavior.
- B.
- Not every anomaly is a failure. We figure out which ones are.An LLM-as-a-verifier - not a single LLM-as-judge call - verifies whether the anomaly is a real problem or just a behavioral shift. Fully automatic: Moyai evaluates whether there were agentic failures in generating the result, no configuration, no rules to define.
- C.
- Know what went wrong, and who should fix it.Every alert comes with reasoning: what failed, which traces are affected, and the likely root cause. Routes to the right person in Slack. Your team gets activated, not just notified.
- D.
- Keep your stack. Add reliability.Connect to Langfuse, LangSmith, or any OpenTelemetry-compatible tool. No new SDK. Minimal code changes. Moyai reads the logs you already generate, so you get reliability in minutes, not weeks.
Connect your existing stack in under 5 minutes.
No SDK to install. Moyai reads the traces you already generate.
Pick a plan.
Simple monthly pricing.
For individuals getting started.
- ·1 seat includedincl.
- ·2 guest collaboratorsincl.
- ·30-day data retentionincl.
- ·3 projects + fair-usage limitsincl.
- BillingMonthly
- Card requiredNo
For small teams shipping fast.
- ·Everything in Developerincl.
- ·5 seats includedincl.
- ·5 guest collaboratorsincl.
- ·30-day data retentionincl.
- ·5 projects + increased API limitsincl.
- BillingMonthly
For growing teams that need more.
- ·Everything in Basicincl.
- ·Unlimited seatsincl.
- ·Unlimited guestsincl.
- ·Unlimited projectsincl.
- ·Unlimited API usageincl.
- ·90-day data retentionincl.
- ·Priority supportincl.
- BillingMonthly