Sleuth
Engineering intelligence tool that tracks deployments and DORA metrics; the API returns deploys, projects, incidents and metric results.
- Category
- Developer Tools
- Type
- Engineering analytics
- Interface
- GraphQL API
- Built with
- Connect Any API
- Credentials
- API key
- Docs
- Sleuth API docs
02Data
What you can sync.
- Deployments
- Dora metrics
- Projects
- Incidents
Report on Sleuth deployments in DataPrism BI and let an AI Mind answer delivery questions in plain words.
Need more? Name any other Sleuth data the API returns, and the AI adds it to the connector.
03Credentials
Credentials you will need.
- An API key
Sleuth uses an API key. You add the credentials once, when the AI asks for them, and it tells you where to create them in Sleuth if you need help.
04How it works
How it works in DataMind.
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Pick Sleuth.
Open Lake, pick Sleuth in the source picker and name the connection. Connect Any API opens with a ready prompt that points the AI at the Sleuth API docs.
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Answer a few questions.
The AI reads the Sleuth documentation, then asks which credentials you will use, which data to sync (for example deployments and dora metrics), 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 Sleuth data loads into your Lake on your schedule, ready for the Warehouse, DataPrism BI and AI Minds.
