Sentry integration for Rig
The easiest way to connect Sentry to Claude and other AI tools
Sentry is an error monitoring and performance platform that captures issues, events and transactions across your applications.
What Rig syncs from Sentry
Once connected, Rig models these objects so questions resolve to the right tables and joins:
- Issues
- Events
- Error frequency
- Releases
- Projects
- Environments
- Transactions
- Performance metrics
- Alerts
How Sentry connects to Rig
Rig Ingest syncs your Sentry issues, events and releases into your warehouse on a schedule. Rig then models error frequency and release health so incident and reliability questions resolve correctly.
Track error frequency and incident trends
Error frequency is how often issues are triggered over time, by project and environment. Rig reads Sentry issues and events, so you can see which errors spike, how incident volume trends week over week, and which projects are least stable.
- Which issues spiked in the last 24 hours by event count?
- How has total error volume trended over the last month?
- Which projects have the highest error frequency in production?
Measure release health and regression rates
By joining Sentry issues to releases, Rig shows whether a release introduced new errors or raised the crash rate. Engineering leads use it to catch regressions before they spread to all users.
- Did the latest release introduce new error types?
- What is the crash-free rate by release this month?
- Which release raised error volume the most?
Prioritise the bug backlog by user impact
Rig ranks Sentry issues by event count and affected users, so you can prioritise fixes by real impact rather than recency. That keeps the team working on errors that hurt the most users first.
- Which unresolved issues affect the most users?
- Show the top errors by event count this week
- How many issues have been open for more than 30 days?
Monitor performance and slow transactions
Rig reads Sentry transactions and performance metrics, so you can see which endpoints are slowing down and how latency trends over releases. That ties reliability work to measurable performance regressions.
- Which transactions have the slowest p95 latency this week?
- Has any endpoint's response time degraded since the last release?
- Show the most frequent slow transactions by project
Ask your Sentry data in Claude, ChatGPT or Cursor
Rig serves your Sentry data to AI assistants over MCP. Once Sentry is synced into your warehouse, you can ask questions in plain English from the tool you already use, and every answer is backed by validated, governed SQL.
Frequently asked questions
- What Sentry data does Rig sync?
- Issues, Events, error frequency, Releases, Projects, Environments, Transactions, performance metrics and Alerts.
- Can Rig track release health and error trends from Sentry?
- Yes. Rig models issues, events and releases, so error frequency, regression and release health questions are answered in plain English.
- Can I query Sentry data in Claude or ChatGPT?
- Yes. Once Sentry is synced to your warehouse, Rig serves it to Claude, ChatGPT, Cursor and other AI tools over MCP.
- How often does Sentry data refresh?
- Rig Ingest syncs on a schedule you set so new issues, events and releases appear automatically.
Related integrations
Connect Sentry data to AI tools like Claude
Rig builds a governed context layer over your data so every team, and every AI tool, asks questions and gets answers they can trust.