The data engineer
you don't have
Datameter sits between Claude and your data warehouse — logging every AI-generated query, estimating costs, and telling you exactly what to cache before your bill surprises you.
Claude doesn't know what queries cost. Your bill does.
When you give your team Claude + Databricks, you get natural language analytics. You also get full table scans, repeated queries, and a warehouse bill that's hard to explain to finance.
Datameter gives you the visibility layer you'd normally need to hire a data engineer for — without the hiring.
Datameter registers as a custom MCP connector in Claude.ai. Your team doesn't change how they work — they just get a cost report when they need it.
Query cost visibility
Every AI-generated query is logged with an estimated cost, duration, and the natural language question that triggered it. No guessing what's driving your warehouse bill.
Cache recommendations
Repeated queries are flagged automatically. Datameter tells you exactly which questions your team keeps asking that should be saved views or dashboards instead.
Self-hosted option
Deploy in your own infrastructure. Warehouse credentials, query text, and results never leave your environment. One Docker container, five environment variables.
Ask Claude for a cost report
No dashboard to log into. Ask Claude "show me this week's query report" and Datameter returns cost, top queries, and cache opportunities right in the conversation.
Get early access
We're onboarding a small number of teams now. No credit card required.