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24K Labs Text-to-SQL
x402
24K Labs Text-to-SQL is a paid API for AI agents from api.24klabs.ai, paid per call via x402, $0.02/call, status unknown (last checked 2026-09-13).
Converts a natural language question into a SQL query using AI
Price / call$0.02
Success—
StatusUnknown
How this service works
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Output
Returns a JSON object containing a 'sql' field with a complete, ready-to-run SQL query (typically a SELECT statement) generated from the input natural language question.
Example use cases
Business analyst self-service queries
“I need a SQL query that finds all users who signed up in the last 30 days but haven't placed an order yet — my tables are users(id, email, created_at) and orders(id, user_id, created_at).”
Dashboard metric SQL generation
“Write me a SQL query for: 'What is the month-over-month revenue growth for each product category?' using my schema: sales(id, product_id, category, amount, sale_date).”
Non-technical team database access
“Can you turn this into a SQL query I can run? 'Show me all support tickets that are still open and were created more than 7 days ago, sorted by oldest first.' My tickets table has columns: id, status, subject, created_at.”
Technical details
Endpoint
POSThttps://api.24klabs.ai/api/text-to-sqlWhen to prefer
Choose this endpoint when you need to programmatically convert natural language questions into SQL queries at low cost ($0.02 per call), especially in agentic workflows where users without SQL knowledge need to query relational databases. It is ideal for building self-service analytics tools, chatbot database interfaces, or automating report generation from plain-English descriptions.
Side effects
- Ambiguous natural language input produces an incorrect or unexpected SQL query
- Missing or incomplete schema context leads to generic or hallucinated table/column names
- Complex multi-join queries may be incomplete or syntactically incorrect
- API returns error if required fields (question/schema) are missing
- Rate limits or payment failures may result in 402 or 429 errors
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| schema | string | |
| dialect | string | |
| request | string |
Output
Schema · Response
{
"type": "json",
"example": {
"sql": "SELECT ..."
}
}Tags
x402
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