Read project data with SQL, query governed metrics, fetch dashboard data and call MCP tools — under the same security model as the application. The public REST API lets scripts, schedulers, other BI tools, notebooks and AI agents use an ATX AnalyticsTable installation: read project data with SQL, query governed metrics ("headless BI"), fetch dashboard data, and call the tools of registered MCP servers. All of it runs under the same security model as the desktop and server application. The API lives at /api/v1 on the backend — the same host and port as the application, behind your reverse proxy on a server installation — and describes itself in an OpenAPI 3.1 document.
Twenty endpoints in five groups. The API reference has parameters, request and response bodies and a curl example for each.
Analyst evaluations of analytics and BI platforms, such as Gartner's Magic Quadrant and Critical Capabilities for Analytics and BI, ask for open, documented APIs, a reusable metrics/semantic layer that other tools can consume ("headless BI"), governance that applies to every access path, and agentic and AI interoperability. The API addresses those as follows:
The claim is about capability coverage, not a rating. Analyst firms publish their own assessments.
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