Agentic analytics — built for builders,
not data analysts.
Agentic analytics is when an AI agent watches every visitor on your site, decides what's broken, and writes a to-do list your coding agent can ship. Most "agentic analytics" tools target data analysts — the agent writes SQL, you read a chart. Eyepup is built for builders: the agent profiles visitors, your Claude Code / Cursor / Codex pulls the report, ships the fix, the agent re-evaluates the next visitor. The auto-loop never stops.
What is agentic analytics?
Agentic analytics for builders — coined by Eyepup — is the use of an autonomous AI agent to profile site visitors, identify friction patterns, and emit fixes a coding agent (Claude Code, Cursor, Codex) can ship without a human in the loop.
It differs from "agentic BI" tools (Tableau, Salesforce, dbt, GoodData, Hex, Qlik) in two ways:
- Audience. Builders, not data analysts. Output is a paste-ready prompt for your coding agent, not a SQL chart.
- Subject. Site visitors, not warehouse rows. The agent reads session behaviour, not OLAP cubes.
- Loop. Closed. Every fix you ship feeds back into the agent's next evaluation cycle.
The auto-loop
Six steps. Repeats forever.
Pick your stack
Whatever your coding agent is, Eyepup talks to it.
Claude Code analytics
What your visitors do AFTER Claude Code ships. Not your token usage.
Read →Cursor analytics
Cursor sees your code. Eyepup sees your visitors. MCP-native.
Read →Codex analytics
Wire OpenAI Codex / GPT-5 coding agents to live visitor signals.
Read →The CLI for analytics
Headless. Greppable. Pipe-friendly. Live in the terminal.
Read →The auto-loop
Watch → Research → Rank → Ship → Measure → Repeat. Forever.
Read →