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Agent Analytics

Agent Analytics Docs

Agent-first docs for the web analytics MCP and analytics API your AI agent can actually run.
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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 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 the guides when you want a prompt-first setup or workflow for a real task.
  • 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.

Start with the path you actually need

Section titled “Start with the path you actually need”
Get started

Take the shortest path to a live project, then use First Project in 5 Minutes for the explicit install-to-live tracking loop.

Browse guides

Use prompt-first guides for setup, first-event verification, experiment tracking, and other agent-driven workflows.

Paperclip help path

Start by creating one task for your CEO in Paperclip, let that task drive the setup, and use finish-code login only when approval is needed.

Choose your AI agent

Dedicated install pages cover Claude Code, Claude Desktop / Cowork, Cursor, OpenClaw, and OpenAI Codex, and tell you which access path should come first.

API

Interactive reference, endpoint details, and the canonical OpenAPI spec behind the same agent-first analytics surface.

LLMs.txt for Agents

Use llms.txt for the compact index or llms-full.txt for the full docs bundle.