Moyai · Developer
â„– MY-DEVFor individuals getting started.
- 1 seat included
- 2 guest collaborators
- 30-day data retention
Allowance
3 projects + fair-usage limits
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.
Connects to your existing observability stack
No new SDK, no rules to define. Moyai reads the traces you already generate.
The problem
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.
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 — not what matters.
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.
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.
Ready to catch rogue agents?
See what Moyai finds in your traces. First agent scan is free.
The solution
Moyai reads your existing agent logs, surfaces behavioral anomalies, judges whether they're real failures, and routes problems to your team via Slack (or other messaging app).
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.

Agentic judges — not a single LLM-as-judge call — reason step by step about whether an outlier 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.

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.
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.
No SDK to install. Moyai reads the traces you already generate.

FAQ
Moyai analyzes production AI-agent traces to find behavioral anomalies, judge which anomalies are real failures, and turn them into incidents your team can inspect and fix.
No. Moyai is designed to read traces you already generate from tools like Langfuse, LangSmith, or OpenTelemetry-compatible pipelines.
Tracing tools show what happened. Moyai focuses on reliability: it clusters similar behavior, highlights outliers, evaluates whether they are customer-visible failures, and explains what likely broke.
Yes. Moyai can connect to Langfuse and LangSmith traces so teams can add failure monitoring without replacing their existing observability workflow.
Observability tells you what happened. Reliability tells you what's wrong.
Start free, bring your team when you need to,and no out-of-control costs (looking at you, frontier model providers 👀).
For individuals getting started.
Allowance
3 projects + fair-usage limits
For small teams shipping fast.
Allowance
5 projects + increased API limits
For growing teams that need more.
Monthly billing · no credit card needed for Developer