Sentry
Sentry groups errors and crashes into issues per project, with event counts, affected users, first and last seen times and the release that introduced them. Release health adds crash-free session and user rates. Joined in the Lake to revenue, plan tier and support tickets, those numbers let engineering rank fixes by the customers affected, not only by event volume.
- Category
- IT, Security & Monitoring
- Type
- Error tracking
- Interface
- REST API
- Built with
- Connect Any API
- Credentials
- Access token
- Docs
- Sentry API docs
02Data
What you can sync.
- Issues
- Events
- Releases
- Projects
- Session stats
Join Sentry issues with assets and people data to see risk by team, system and owner.
Need more? Name any other Sentry data the API returns, and the AI adds it to the connector.
03Credentials
Credentials you will need.
- An access token
Sentry uses an access token. You add the credentials once, when the AI asks for them, and it tells you where to create them in Sentry if you need help.
04Questions
Questions you can answer.
Once Sentry data is in your Lake, ask an AI Mind in plain words or build the answer in DataPrism BI.
- Which releases lowered the crash-free session rate on mobile, and by how much?
- Which unresolved issues affect the most paying customers on enterprise plans?
- How many new issues did each release introduce, per project?
- Do issues with rising event counts bring more support tickets in the same week?
- Which projects take longest from first seen to resolved?
05How it works
How it works in DataMind.
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Pick Sentry.
Open Lake, pick Sentry in the source picker and name the connection. Connect Any API opens with a ready prompt that points the AI at the Sentry API docs.
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Answer a few questions.
The AI reads the Sentry documentation, then asks which credentials you will use, which data to sync (for example issues and events), whether you want a one-time load or a recurring sync, and which accounts or filters apply.
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Your data lands in Lake.
It builds the connector, tests it and shows you sample rows. Then Sentry data loads into your Lake on your schedule, ready for the Warehouse, DataPrism BI and AI Minds.
06Pairs
Works well with Sentry.
Sources teams join with Sentry in the Warehouse, each one connected the same way.
