Turn your raw platform data into instant, board-ready insights with this AI SQL Analyst Agent that automatically translates plain-English questions into optimized queries, clean tables, and compelling visual reports. Perfect for growth, product, and ops teams, it uncovers trends, user behavior, and agent performance in seconds—no SQL expertise required.
How to use this SQL Agent
This assistant helps you analyze your AI agent platform data using plain English. You ask business questions (e.g. “Top agents by completed runs last 7 days?”), and it turns them into SQL, runs them on your Postgres database, and returns clean tables (and charts if you ask).
How to connect your agent to your data
You can connect your database in two main ways:
MCP database tool (preferred)
Configure an MCP “database” tool with your Postgres connection (host, port, database, user, password, SSL). Use a read‑only analytics user with SELECT on your tables. Once configured, just ask questions like “Show daily runs by status for the last 30 days” and I’ll query live data and respond with results.
Postgres: SQL query tool
Configure this tool with the same Postgres connection. Then use me as a SQL generator: say “Generate SQL (don’t execute) to compute error rate per agent over the past month.” I’ll return an optimized query you paste into the Postgres tool yourself. You can bring results back here for interpretation or chart generation.
You don’t need to know SQL; you just describe what you want analyzed. I handle query design, debugging, and summarizing insights.
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