01
What Staats is
Staats is an emerging website-analytics product built around a different interface assumption: instead of opening an analytics dashboard, you ask a coding agent what happened after you shipped. Its official site describes a roughly 1.5KB tracker plus a Model Context Protocol server that brings traffic, referrers, conversions and funnels into the agent conversation.
The practical idea is a tighter build-measure-decide loop. An agent can help ship a change, record the deployment, inspect what changed in production and use that evidence when discussing the next iteration. Traffic sources, seasonality and simultaneous changes can still confound simple before-and-after comparisons.
02
MCP, instrumentation and deploy measurement
Staats documents native MCP support for clients including Claude Code, Cursor, Windsurf, Codex and compatible VS Code agent setups. Its agent-workflow documentation includes tools for overviews, change detection, annotations, before-and-after comparisons, funnels and durable site context.
Interaction tracking can be added while code is being written using a data-track attribute, with window.track() available for custom triggers. Deploy annotations can include a description, commit and modified routes so later analysis can be scoped to the relevant release.
03
Privacy positioning and current pricing
Staats says its tracker is cookieless, does not persist IP addresses or device data, and uses daily-rotating salted visitor hashes plus timezone-based geography. Those are vendor-described product claims, not a legal compliance certification.
As rechecked on August 30, 2026, the official site lists Free at $0/month for 10,000 events, Pro at $9 for 100,000, Growth at $29 for 1,000,000 and Scale at $99 for 10,000,000. The site says all tiers include MCP tools and features, with plan-specific site and history limits.
04
Where Staats fits
Staats explicitly says it can run alongside Google Analytics, PostHog or Plausible. Its differentiation is therefore less about replacing every analytics stack and more about putting production evidence directly in the coding-agent interface used by developers and product teams.
Traditional analytics platforms remain stronger when an organization needs mature dashboards, established attribution workflows, governance and broad reporting ecosystems. Staats is most interesting when the primary operator is already working through coding agents.
05
What to do next
The main test is whether agent-native measurement actually improves decisions without reducing measurement rigor. Independent adoption and reliability evidence are still limited because Staats is new, so vendor claims about proactive recommendations should remain attributed.
For the practical connection, tracker and deploy-annotation workflow, continue with the Staats setup guide.
Sources
Primary and supporting sources
Facts were rechecked against the linked sources immediately before publication. Pricing, product availability and rollout status can change.