How do I analyze data using OpenClaw?
Definitive Answer
Connect your database (PostgreSQL, MySQL, BigQuery, etc.) to an OpenClaw data analyst agent on FetchOpenClaws using read-only credentials. Then ask questions in plain English — "What were last month's top 10 products by revenue?" — and the agent generates SQL, executes the query, and presents results with charts. No SQL knowledge required.
Step-by-Step Guide
- 1Deploy an OpenClaw agent with the Data Analyst skill on FetchOpenClaws.
- 2Connect your database using read-only credentials or an SSH tunnel for security.
- 3Configure which schemas and tables the agent can access.
- 4Ask your first question in natural language: "How many new users signed up this week compared to last week?"
- 5Review the generated SQL and query results — approve or refine.
- 6Save useful queries as scheduled reports with email or Slack delivery.
- 7Share dashboard widgets with team members for self-service analytics.
Example Prompt
Connect to my PostgreSQL database and create a weekly sales report that shows revenue by product category, top 10 customers, and week-over-week growth. Deliver it every Monday at 9am via Slack.
Common Pitfalls
- Using write permissions instead of read-only — never give the agent write access to production databases
- Not restricting schema access — limit the agent to only the tables it needs
- Treating AI-generated SQL as infallible — always review complex queries before using results for decisions
- Not saving frequently used queries — rediscovering the same reports wastes time
FAQ
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