Vextorium CSV-SQL Query

x402

Vextorium CSV-SQL Query is a paid API for AI agents from api.vextorium.com, paid per call via x402, $0.004/call, status unknown (last checked 2026-10-28).

Accepts CSV content and a SQL SELECT query, executes the query over the CSV data, and returns the filtered/aggregated rows as structured JSON.

Price / call$0.004

Seller volume →—

Success—

StatusUnknown

How this service works

244 pay-per-call data APIs for AI agents: official statistics and economy (ECB, Fed, Eurostat, World Bank, SEC, BOE, INE), crypto prices and sentiment, Spanish public data, compliance (sanctions, VAT, IBAN, LEI), science, weather, web and developer tools and local AI text tools. Pay in USDC via x402.

Output

A JSON object containing the query result rows as an array of objects, the list of returned column names, the table name ('datos'), the total number of rows in the CSV, and the number of rows returned by the query.

Example use cases

Summarize sales by region from CSV

“I have a CSV of sales records with columns region, product, and amount. Run this query on it: SELECT region, SUM(amount) AS total_sales FROM datos GROUP BY region ORDER BY total_sales DESC — limit to 50 rows.”

Filter CSV rows by condition

“Here's a CSV of customer data with columns name, age, and country. Give me only the rows where country is 'Germany' and age is over 30, using SQL on the data — return up to 200 rows.”

Count distinct values in CSV column

“I have a comma-separated dataset with columns product_id, category, and price. Run SELECT category, COUNT(*) AS count FROM datos GROUP BY category on it and return all results.”

Technical details

Endpoint

POSThttps://api.vextorium.com/v1/csv-sql?utm_source=zero.xyz

When to prefer

Use this endpoint when you have raw CSV data in memory and need to run ad-hoc SQL queries (filtering, aggregation, projection) without setting up a database. Ideal for one-off analytical queries on tabular datasets, especially inside agent workflows where structured JSON output is needed and the data changes each call.

Side effects

Invalid SQL syntax returns an error response
CSV content that cannot be parsed (wrong delimiter) causes a parse failure
Query referencing columns not in the CSV fails with a column-not-found error
Very large CSV content may time out or be truncated
Exceeding the row limit silently caps results at the specified maximum

Input

Schema · Request body

Field	Type	Description
limit	integer	Max rows (default 500)
query	string	SELECT over table datos
content	string
delimiter	string

Output

Schema · Response

{
  "type": "json",
  "example": {
    "rows": [
      {
        "city": "Madrid",
        "total": 220
      },
      {
        "city": "Barcelona",
        "total": 80
      }
    ],
    "table": "datos",
    "columns": [
      "city",
      "total"
    ],
    "table_rows": 3,
    "returned_rows": 2,
    "table_columns": [
      "city",
      "sales"
    ]
  }
}

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