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Xplainable Platform

Documentation for the hosted Xplainable platform — the v2 algorithm, in-app and agentic training, deployments, and everything you drive over HTTP or MCP. These docs are unversioned and always describe the current platform.

What's here

  • Inference API — real-time predictions, explanations, and prescriptive optimization on deployed models.
  • MCP Servers — Model Context Protocol servers for agentic ML workflows.
  • API Reference — complete REST API reference.

Connecting from Python

Training models locally with the open-source SDK and pushing them to the platform? Start with the SDK's Cloud integration guide.

Looking for the Python SDK?

The open-source Python package (pip install xplainable) has its own versioned documentation: SDK docs.