Production context

Product analytics your coding agent can actually use

AnalyticsCLI turns product telemetry into queryable context for coding agents. Instead of pasting screenshots into a chat, agents can inspect scoped release data, compare funnels, and create implementation-ready work from real product signals.

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Use cases

product analytics for coding agents

AI agent product analytics

analytics CLI for AI coding agents

agentic analytics

Best for

Teams that use OpenClaw, Codex, Claude Code, or Cursor for implementation work
Products that need telemetry evidence attached to growth tasks
Founders who want an agent to inspect real data before proposing changes

Workflow

Step 01
Install the SDK and track the events that matter for activation, retention, and monetization.
Step 02
Create scoped read-only access for dashboard queries, exports, or agent workflows.
Step 03
Let the AI Growth Engineer combine analytics with crashes, revenue, feedback, store signals, and code context.
Step 04
Review generated issues, draft PR tasks, or notifications with evidence and verification metrics attached.

Why it matters

Evidence that agents can cite.

Release and debug traffic can be separated during analysis.

Agents can query event data without consuming dashboard usage.

The TypeScript SDK supports web, Expo, and React Native projects.

Questions founders ask

Can coding agents query AnalyticsCLI directly?

Yes. AnalyticsCLI is designed so coding agents can query scoped product analytics through CLI workflows and use the output as implementation context.

Does this replace the dashboard?

No. The dashboard is still useful for human review. The CLI layer gives agents a deterministic way to fetch the same kind of evidence without manual screenshot sharing.

Which agents work with AnalyticsCLI?

AnalyticsCLI can be used from OpenClaw, Codex, Claude Code, Cursor, and similar coding-agent environments that can run CLI commands.