GoatCounter is an open source web analytics platform designed for teams that want actionable traffic data without adopting the heavier tracking patterns associated with traditional analytics suites. The project provides a hosted service at goatcounter.com and a self-hosted application from the same codebase. Its README emphasizes privacy-aware collection, a lightweight script, options for JavaScript-free tracking pixels, backend API ingestion, and import from web server logs.

That gives it a clear job to be done for ASE users: instrument a website, product, documentation portal, or static site and collect visits, referrers, campaigns, browser information, and path-level traffic trends with simpler operations than a full analytics stack. The official docs show the fastest setup path as a single script tag with a site-specific data-goatcounter endpoint, while self-hosting can run from released binaries or Docker. The project also supports SQLite or PostgreSQL, which makes it adaptable for small sites and larger installations.

In an agent workflow, GoatCounter can sit behind deployment runbooks, documentation portals, or content programs that need privacy-sensitive measurement. A skill anchored to GoatCounter can help install the tracking snippet, configure self-hosted instances, route backend events into the REST API, or import historical server logs. Integration points include static sites, custom applications, reverse-proxy logs, Docker environments, and privacy-focused analytics dashboards where “simple and inspectable” matters more than marketing-suite sprawl.