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Agent Analytics Docs

Agent-first docs for the web analytics MCP and analytics API your AI agent can actually run.

Agent Analytics gives AI agents such as Claude Code, Cursor, Codex, and OpenClaw one web analytics MCP and analytics API surface, exposed through plugin, skill, MCP, CLI, and HTTP API access paths. These docs now split the experience cleanly:

  • Use Getting Started when you want the shortest path from zero to a live project.
  • Choose Connect as agent when you want the agent to own install, approval handoff, and setup from A to Z.
  • Use Connect as human only when you need direct account access for billing, cancellation, or manual review.
  • Use Set up Agent Analytics for your Paperclip company when your company runs on Paperclip and you want the direct CEO-task and finish-code path.
  • Use Agent Analytics Skill when you want the regular skill for setup, reporting, and experiments.
  • Use Autoresearch Growth Skill when you want a structured variant loop that feeds the next run from measured behavior.
  • Use First Project in 5 Minutes when your AI agent is already installed and you want the clearest create-project, place-snippet, and verify-first-page-view loop.
  • Use Session Paths when your agent needs to connect entry pages, exit pages, goal attribution, funnels, retention, and experiments.
  • Use the guides when you want a prompt-first setup or workflow for a real task.
  • Use CLI when you want the shell-first path itself.
  • Use CLI vs MCP vs API when you want the clearest explanation of plugin, skill, MCP, CLI, and API across different agent environments.
  • Use the API reference when you need endpoint-level request and response detail.
  • Use the LLM text exports when you want a compact machine-readable index of the docs.