POST
/
v1
/
ai
/
sql
import { JigsawStack } from "jigsawstack";

const jigsaw = JigsawStack({ apiKey: "your-api-key" });

const response = await jigsaw.text_to_sql({
  "database": "postgresql",
  "prompt": "Find all transactions with amounts exceeding $10,000, sorted by transaction date",
  "sql_schema": "\n            CREATE TABLE Transactions (\n              transaction_id INT PRIMARY KEY, \n              user_id INT NOT NULL,\n              total_amount DECIMAL(10, 2) NOT NULL, \n              transaction_date TIMESTAMP DEFAULT CURRENT_TIMESTAMP,\n              status VARCHAR(20) DEFAULT 'pending',\n              FOREIGN KEY(user_id) REFERENCES Users(user_id)\n            )\n          "
})

{
  "success": true,
  "sql": "SELECT * FROM Transactions WHERE total_amount > 10000 ORDER BY transaction_date;",
  "_usage": {
        "input_tokens": 132,
        "output_tokens": 27,
        "inference_time_tokens": 847,
        "total_tokens": 1006
  }
}

​
Request Parameters

​
Body

​
prompt
string
required
The natural language prompt that will be translated to an SQL query. Minimum length: 10 characters
​
sql_schema
string
The database schema where the query will be run. Not required if file_store_key is specified.
​
database
string
The database type to generate SQL for. Supported values are postgresql, mysql, or sqlite. Specifying this parameter improves SQL generation accuracy by applying database-specific syntax and optimizations.
​
file_store_key
string
The key used to store the database schema on Jigsawstack file Storage. Not required if sql_schema is specified.
Either file_store_key or sql_schema can be provided not both.
​
x-api-key
string
required
Your JigsawStack API key

​
Response Structure

​
success
boolean
Indicates whether the call was successful.
​
sql
string
The generated SQL query based on the natural language prompt and provided schema.
import { JigsawStack } from "jigsawstack";

const jigsaw = JigsawStack({ apiKey: "your-api-key" });

const response = await jigsaw.text_to_sql({
  "database": "postgresql",
  "prompt": "Find all transactions with amounts exceeding $10,000, sorted by transaction date",
  "sql_schema": "\n            CREATE TABLE Transactions (\n              transaction_id INT PRIMARY KEY, \n              user_id INT NOT NULL,\n              total_amount DECIMAL(10, 2) NOT NULL, \n              transaction_date TIMESTAMP DEFAULT CURRENT_TIMESTAMP,\n              status VARCHAR(20) DEFAULT 'pending',\n              FOREIGN KEY(user_id) REFERENCES Users(user_id)\n            )\n          "
})

{
  "success": true,
  "sql": "SELECT * FROM Transactions WHERE total_amount > 10000 ORDER BY transaction_date;",
  "_usage": {
        "input_tokens": 132,
        "output_tokens": 27,
        "inference_time_tokens": 847,
        "total_tokens": 1006
  }
}