Sentrial

Founded by Neel Sharma

Production Monitoring for AI Agents

Pricing model

Paid

Rating

★ People love it

Time to value

Quick Setup (< 1 hour)

You can use Sentrial to monitor AI agents in production and catch issues before users notice them. It traces every agent session, tool call, and LLM interaction. You can set up automated checks to flag regressions, A/B test different prompts, and get real-time alerts when agents fail. The system links failures directly to your source code so you can fix problems quickly. It tracks metrics like success rates, latency, token costs, and user satisfaction across all agent deployments.

What Sentrial does

Set up tracing for AI agent sessionsCreate automated checks for agent qualityConfigure Slack alerts for agent failuresA/B test different prompts in productionDebug tool call failures in agent codeMonitor token usage and costsTrack agent success rates over timeAnalyze user frustration patternsTraces every agent session with full interaction historyAutomated assertions to catch agent regressionsA/B tests prompts with statistical analysisReal-time Slack alerts for agent failuresLinks failures directly to source codeTracks token costs and latency metricsDetects user frustration patternsMonitors tool call timeouts and errors