Microsoft Fabric Lakehouse REST APIs
analytics:microsoft-fabric-lakehouse · learn.microsoft.com/rest/api/fabric/ ↗
About the Microsoft Fabric Lakehouse REST APIs API
Microsoft Fabric Lakehouse REST APIs API on Apizie: 23 endpoints (Returns a list of lakehouses from the specified workspace., Creates a lakehouse in the specified workspace., Returns properties of the specified lakehouse., Updates the properties of the specified lakehouse., …) returned as clean JSON through one API key. Send your own provider key in the x-upstream-key header. Call it over REST at https://zieapi.vercel.app/v1/analytics:microsoft-fabric-lakehouse/{endpoint} or from Claude, ChatGPT and Cursor through the Apizie MCP server. Free plan: 1,000 requests a month.
| Project key | analytics:microsoft-fabric-lakehouse |
|---|---|
| Status | Your key |
| Endpoints | 23 |
| Category | Analytics |
| Source | learn.microsoft.com/rest/api/fabric/ |
| Base URL | https://zieapi.vercel.app/v1/analytics:microsoft-fabric-lakehouse/{endpoint} |
| For AI tools | OpenAPI spec · Markdown (what is this?) |
Microsoft Fabric Lakehouse REST APIs API FAQ
How do I call the Microsoft Fabric Lakehouse REST APIs API?
Create a free Apizie key, then send GET https://zieapi.vercel.app/v1/analytics:microsoft-fabric-lakehouse/items-list-lakehouses with the header x-api-key. Every endpoint returns { project, data, timestamp }.
Is the Microsoft Fabric Lakehouse REST APIs API free on Apizie?
Yes. The Free plan includes 1,000 requests a month at 100 requests a minute, no credit card. Microsoft Fabric Lakehouse REST APIs itself also needs your own key from fabric.microsoft.com.
Can AI agents use the Microsoft Fabric Lakehouse REST APIs API?
Yes. Add the Apizie MCP server (https://zieapi.vercel.app/mcp) to Claude, ChatGPT, Cursor or VS Code, then ask in plain language. The agent calls run_scraper with project key analytics:microsoft-fabric-lakehouse.
What is the status of the Microsoft Fabric Lakehouse REST APIs API?
Needs your own provider key (bring your own key)