These tools provide deep visibility into your software stack, helping you detect performance bottlenecks, track error rates, and identify server-side latency before users notice an issue. They unify fragmented logs and real-time telemetry into a single dashboard to reveal exactly where a request failed. When selecting a platform, focus on the granularity of the trace data, the ease of integrating with your existing framework, and the specific alerting filters that minimize noise during high-traffic events.

Automatically protects Cursor and other AI apps

Trace LLM requests + costs with OpenTelemetry monitoring

Build TS AI agents with n8n-style observability

An AI on-call engineer for your Vercel apps

AI error tracker that tells you why bugs happen and fix it.

Observability that tells you what’s wrong

Everything you need around your LLM calls.

An autonomous ecosystem for software

Real-time error tracking. Built for AI coders & modern apps.

Observability for web and mobile built for AI

One run: bug found, ticket written, fix prompt ready

AI error tracking that explains and suggests bug fixes

Trace, evaluate, and improve AI agents in production

Ask your product what happened, in plain english

Ship AI agents you can actually see

Observability & A/B Testing for LLM Apps

Spot Risky AI Behavior Before It Ships

Master the Pulse of your Business

Monitor, compare and catch risky AI outputs

Full observability for AI agents. Zero code changes.