SQL Query Assistant: Natural Language to SQL
Ask your OpenClaw agent questions in plain English and get accurate SQL queries with results, so anyone on your team can query your database without learning SQL.
What You Will Get
After this guide, your OpenClaw agent will translate natural language questions into SQL queries and run them against your connected database. You type a question like 'How many new users signed up this week?' and the agent generates the SQL, executes it, and returns the result in a readable format.
This capability makes your database accessible to team members who do not know SQL. Product managers, marketers, and executives can all ask data questions directly and get immediate answers without filing requests with your data team. The agent shows the generated SQL alongside the results so technical team members can verify and learn from the queries.
The assistant also handles follow-up questions with context. If you ask 'Now break that down by country,' the agent understands you are refining the previous query and modifies the SQL accordingly. This conversational flow makes data exploration fast and intuitive.
Step-by-Step Setup
Connect your database and start querying with natural language.
Connect Your Database
Go to the Data Sources panel in your OpenClaw agent on RunTheAgent and add your database. Enter the connection credentials and test the connection. The agent needs read access at minimum. For safety, use a read-only database user to prevent accidental data modifications.
Let the Agent Learn Your Schema
After connecting, the agent scans your database schema to learn table names, column names, data types, and relationships. This schema awareness is what allows the agent to translate your questions into accurate SQL. Review the detected schema in the Data Sources panel and add descriptions to ambiguous columns if needed.
Ask Your First Question
Open the chat and type a question in plain English, such as 'What are the top 10 products by revenue this month?' The agent generates a SQL query, shows it to you for review, and runs it against the database. Results appear as a formatted table directly in the chat.
Refine with Follow-Up Questions
Ask follow-up questions to drill deeper. Say 'Filter that to only include products in the electronics category' or 'Show me the same data for last month.' The agent maintains conversation context and modifies the SQL accordingly, saving you from starting over each time.
Save Useful Queries
When you find a query that you or your team will need again, ask the agent to save it with a name. Saved queries appear in the Queries tab and can be reused, scheduled, or attached to dashboard widgets. This builds a library of vetted queries over time.
Set Up Query Permissions
Configure which team members can run queries and which tables they can access. You can restrict the agent to specific schemas or tables for different users. This prevents sensitive data from being exposed to unauthorized team members while still giving everyone useful data access.
Review Query Logs
Check the Logs tab to see a history of all queries the agent has generated and executed. Each log entry shows the natural language question, the generated SQL, the execution time, and the number of rows returned. Use this to audit usage and optimize frequently run queries.
Tips and Best Practices
Add Column Descriptions
Enrich your schema with human-readable descriptions for columns that have ambiguous names. If a column is called 'amt,' adding a description like 'transaction amount in USD' helps the agent generate more accurate queries from natural language questions.
Use a Read-Only Database User
Always connect with a read-only user to prevent the agent from accidentally modifying data. This is especially important when non-technical team members are asking questions, as there is no risk of an unintended UPDATE or DELETE being generated.
Encourage Specific Questions
The more specific the question, the more accurate the SQL. 'How many orders were placed last Tuesday?' produces a better query than 'Tell me about orders.' Coach your team to include time ranges, filters, and the specific metric they want in their questions.
Frequently Asked Questions
Related Pages
Ready to get started?
Deploy your own OpenClaw instance in under 60 seconds. No VPS, no Docker, no SSH. Just your personal AI assistant, ready to work.
Starting at $24.50/mo. Everything included. 3-day money-back guarantee.
