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Introduction

Poolstatis is source-available, agent-first product analytics for teams that use coding agents to ship software. Instead of expecting a person to translate dashboards or write SQL, it gives an agent a small MCP surface for registering metrics, defining funnels, and asking whether a shipped change is working. The registry preserves meaning: every metric states the decision it supports, every funnel states the journey it measures, and clients query those registered definitions through a typed DSL. Humans retain control through a headless admin that exposes proposals, activation status, keys, recent data, and quality warnings for audit. Teams can use the managed Cloud beta or run a Docker self-host with Postgres and a local MCP runner. The version-pinned public MCP runner is verified; the SDK npm distribution path is not generally available yet. Poolstatis reports observed product behavior. A trend or conversion change can guide investigation, but it does not by itself prove that a release caused the outcome.

Two rules hold the whole system together:

Every metric carries a purpose — one sentence naming the decision it informs. Every funnel carries a goal — what journey it measures and why.

If you can't name the decision a number informs, you don't track it. That single constraint is what makes an agent's analytics trustworthy instead of noise.

Why it exists

Traditional analytics assume a person is sitting in front of a chart. An agent can write a feature, ship it, and open the PR — but then it goes blind, because the feedback half of the loop (ship → measure → decide) lives behind a SQL console and a dashboard UI.

Poolstatis closes that loop. The agent works through a small, typed surface instead of raw SQL, and every number is self-describing.

How it fits together

  • Ingest API receives events and entity updates from your product.
  • Registry holds the semantic layer: metrics (with a purpose) and funnels (with a goal).
  • Query DSL answers questions over registered metrics — never raw tables.
  • MCP server exposes all of the above as tools your agent calls.
  • Admin panel is a headless console for humans to audit and activate.

When Poolstatis fits

  • A coding agent instruments product changes and needs to verify the result after release.
  • A product team wants stable metric definitions that both humans and agents can inspect.
  • A self-hosting team wants event data and the semantic registry in its own Postgres.
  • An MCP client needs narrow analytics tools instead of database or raw SQL access.

Poolstatis is not a replacement for data warehousing, unrestricted BI, or LLM trace observability. Browser Experience is an optional, consent-first interaction signal; it is not full DOM replay.

Agent-first vs dashboard-first analytics

ConcernDashboard-first workflowPoolstatis workflow
Primary interfaceA person navigates reportsAn agent calls typed MCP tools
Metric meaningOften documented separatelyRequired purpose in the registry
Funnel meaningOften inferred from stepsRequired goal plus registered metrics
Query accessUI builders or SQLTyped Query DSL over metric keys
Human controlReport and workspace settingsAudit and activate agent proposals

Next: Quickstart.