Zephyr Scale
by SmartBear
Test management inside Jira with test cases, cycles, plans and execution reports.
- Category
- Developer Tools
- Type
- Test management
- Interface
- REST API
- Built with
- Connect Any API
- Credentials
- Access token
02Data
What you can sync.
- Test cases
- Test cycles
- Test executions
- Test plans
Report on Zephyr Scale test cases in DataPrism BI and let an AI Mind answer delivery questions in plain words.
Need more? Name any other Zephyr Scale data the API returns, and the AI adds it to the connector.
03Credentials
Credentials you will need.
- An access token
Zephyr Scale uses an access token. You add the credentials once, when the AI asks for them, and it tells you where to create them in SmartBear if you need help.
04How it works
How it works in DataMind.
-
Pick Zephyr Scale.
Open Lake, pick Zephyr Scale in the source picker and name the connection. Connect Any API opens with a ready prompt that points the AI at the Zephyr Scale API docs.
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Answer a few questions.
The AI reads the Zephyr Scale documentation, then asks which credentials you will use, which data to sync (for example test cases and test cycles), 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 Zephyr Scale data loads into your Lake on your schedule, ready for the Warehouse, DataPrism BI and AI Minds.
