Moda
Production monitoring and evals for AI agents
SubscriptionAI AgentsMonitoring3 impressions
Moda monitors AI agents in production, detects mistakes, groups problems and lets you replay changes as evals.
- for
- Teams running AI agents in production who need error detection and remediation.
- pricing
- contact sales
Key features
- Trace Monitoring — Reads every production trace end-to-end and flags hidden failures like hallucinations and tool errors.
- Custom Signals — Define plain-language checks that generate alerts when agents misbehave.
- Alert Integrations — Send failure alerts to Slack, Linear or email.
- Problem Grouping — Aggregates similar failures into ranked problems based on affected users.
- Replay Testing — Re-run prompts, models or tool changes against failing traces to compare pass rate, latency and token usage.
- Metrics Dashboard — Shows signal rate, pass/fail stats, latency and token usage trends.
Use cases
- Detect hallucinated responses that never raise an error
- Identify tool call timeouts and fabricated data in user interactions
- Group recurring agent failures to prioritize fixes
- Validate prompt or model changes against real failure traces before deployment
- Alert on high-impact errors via Slack or Linear
Moda vs alternatives
 Moda | .png?width=64) Langfuse |  Better Stack |  Datadog |  SigNoz | |
|---|---|---|---|---|---|
| Best for | Production monitoring for AI agents | Open-source LLM tracing, prompts and evals | General uptime and incident monitoring | Full-stack cloud app monitoring | Open-source observability |
| Pricing | Contact sales | Subscription | Subscription | Subscription | Free |
| DevHunt upvotes | 0 | 89 | 0 | 0 | 0 |
| Launched | — | Jan 2023 | — | — | — |
- Moda vs Langfuse: Langfuse records and lets you search every LLM trace and run evals you define; Moda reads production traces to find failures automatically and turn them into fixes.
- Moda vs Better Stack: Better Stack focuses on uptime and incident monitoring, not AI-agent specific failure analysis.
- Moda vs Datadog: Datadog offers broad app observability but lacks built-in AI-agent eval loops.
- Moda vs SigNoz: SigNoz is an open-source tracing/metrics platform without AI-agent specific signals or replay features.
Moda FAQ
What is Moda?+
Moda is an infrastructure platform that catches AI agent mistakes in production and turns them into evaluable signals.
Does Moda change my model?+
No, Moda does not modify your model; it only monitors and evaluates agent behavior.
What does Moda detect in production traces?+
It detects hidden failures such as frustrated users, failing tool calls, lazy answers and hallucinations that do not raise explicit errors.
How is Moda different from a tracing tool like Langfuse or LangSmith?+
Beyond raw tracing, Moda groups failures into ranked problems, provides custom signal alerts and lets you replay changes against the exact failing traces.
How long does setup take?+
The documentation does not specify a setup time.
Summarized by DevHunt from moda.dev · Oct 26, 2026. Details may change; check the official site.
About this listing
DevHunt lists Moda because developers expect to find it next to the tools in its category. It did not launch on DevHunt. Work on Moda? Message us to claim this listing.
