RocketGraph context-engineers your telemetry data into LLM-compatible snapshots. When alerts fire, your AI agents act — not your on-call humans.
For decades, observability tools assumed the end user was a human engineer — someone who writes queries, reads graphs, triages alerts at 3am.
The world changed when Claude Code, Copilot, and autonomous agents started operating in production environments. Writing an MCP server to dump 10GB of logs into a context window isn't a solution. It's a workaround for a tool built for the wrong user.
We asked a different question: What context does an AI agent need to understand system health?
The answer became RocketGraph. We ingest telemetry from Sentry, Datadog, New Relic, Loki — and output context-engineered snapshots. Compressed. Structured. Actionable. Sized for LLM context windows.
We're building Datadog where the end user is an AI agent.
When an anomaly is detected, RocketGraph analyzes the root cause and opens a fix PR — before your on-call engineer wakes up.
Ask your entire production stack anything in plain English. No dashboards. No PromQL. Just answers.
Machine learning algorithms cluster log patterns and flag anomalies. You get a snapshot — not 300 noisy alerts.
Connect Sentry, Datadog, New Relic, Loki, Cloudwatch and more. One unified pipeline, regardless of your stack.
Stream snapshots to any webhook — your Slack, your PagerDuty, your custom agent pipeline. Composable by design.
Open-source SDK. You own your data. Self-host if you need to. Enterprise customers get on-prem options too.
RocketGraph connects to your existing monitoring stack — Sentry, Datadog, New Relic, Loki — and ingests log streams at scale (100GB–10TB/day).
ML clustering identifies patterns and anomalies in real time. We don't just count errors — we understand their root cause.
Context-engineered snapshots are generated — compressed, structured telemetry data sized to fit LLM context windows. No more token overflow.
Snapshots stream to your AI agents via webhooks. Claude Code opens a fix PR. Your team reviews. No dashboards. No 3am paging.
5-minute setup. No YAML. No credit card. Just install the SDK and your AI agents start understanding your stack.