SQL Query Generator from Natural Language is a paid API for AI agents from api.strale.io, paid per call via x402, $0.054001/call, status unknown (last checked 2026-10-10).
Converts a natural language description into a SQL query, optionally using a provided table schema and targeting a specific SQL dialect (PostgreSQL, MySQL, SQLite, MSSQL).
Generate SQL queries from natural language descriptions. Provide table schema for best results. Supports PostgreSQL, MySQL, SQLite, MSSQL.
A generated SQL query string tailored to the specified dialect and table schema, ready to run against a database. May include JOINs, WHERE clauses, aggregations, or other constructs matching the natural language intent.
GEThttps://api.strale.io/x402/sql-generate?utm_source=zero.xyzChoose this endpoint when you need to quickly convert a plain-English database question into executable SQL, especially when you have a known table schema and a target dialect (PostgreSQL, MySQL, SQLite, MSSQL). Ideal for agents helping non-technical users query databases or for automating query generation in data pipelines.
{
"dialect": "postgresql",
"table_schema": "users(id, name, email, created_at), purchases(id, user_id, purchase_date, amount)",
"natural_language_query": "Find all users who have made at least 2 purchases in the last 90 days"
}| Field | Type | Description |
|---|---|---|
| inputrequired | object |
{
"sql": "SELECT u.id, u.name, u.email FROM users u INNER JOIN purchases p ON u.id = p.user_id WHERE p.purchase_date >= NOW() - INTERVAL '90 days' GROUP BY u.id, u.name, u.email HAVING COUNT(p.id) >= 2",
"_meta": {
"payment": {
"method": "x402",
"price_usd": 0.054000000000000006,
"settlement_id": "0xe39fa3c65478682bc689db7b1e8244e3839b4c9c0695b797e73d2cce7b0aa44c"
},
"capability": "sql-generate",
"latency_ms": 1467,
"provenance": {
"source": "claude-haiku",
"fetched_at": "2026-06-13T04:25:05.951Z"
}
},
"dialect": "postgresql",
"joins_used": [
"INNER JOIN purchases p ON u.id = p.user_id"
],
"explanation": "This query finds all users who have made at least 2 purchases within the last 90 days. It joins the users table with the purchases table, filters purchases from the last 90 days, groups by user, and returns only those users with 2 or more purchases in that period.",
"tables_referenced": [
"users",
"purchases"
],
"estimated_complexity": "simple"
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