Moda

Founded by Mohammed Al-Rasheed in 2026

Find recurring failures in production AI agent traces and test fixes before deploying

Pricing model

Demo

Rating

★ People love it

Time to value

Quick Setup (< 1 hour)

You can use Moda to inspect production traces from your AI agents and detect recurring failures automatically. It groups trace errors into distinct problems ranked by how many users they impact. You can analyze root causes, detect tool call mistakes, and observe user frustration signals across conversations. When you modify prompts or swap models, Moda lets you replay your changes directly against historical failure traces. This allows you to evaluate pass rates, response latency, and token consumption to verify fixes before shipping them to production.

What Moda does

Trace production agent runs to catch unexpected behaviorGroup recurring agent errors by user impactReplay modified prompts against historical failure tracesCompare token usage and latency differences across modelsConfigure alerts for tool timeouts and data fabricationAnalyze conversation transcripts to discover root causes of failureExport evaluation test cases derived from actual production errorsGroups recurring failures into problems ranked by affected usersReplays prompt and model updates against historical production tracesDetects silent tool call errors, context loss, and hallucinationsIdentifies root causes of user frustration across conversation trajectoriesSends automated alerts to Slack, Linear, and email when failure rates spikeGenerates hierarchical intent maps through clustering trace segmentsIngests telemetry via OpenTelemetry, Node.js, Python SDKs, and HTTP APIs