Back to Browse
CSV to JSONL / JSON Converter
x402
CSV to JSONL / JSON Converter is a paid API for AI agents from x402-deployer.x402-deployer.workers.dev, paid per call via x402, $0.02/call, status unknown (last checked 2026-09-13).
Converts CSV, TSV, or spreadsheet data into newline-delimited JSON (JSONL), JSON array, or column-oriented ndarray, with RFC 4180 parsing and automatic type inference
Price / call$0.02
Success—
StatusUnknown
How this service works
CSV to JSON / CSV to JSONL / CSV to NDJSON converter / TSV to JSON / spreadsheet to JSON / data pipeline preprocessor / LLM training-data prep. RFC 4180 parser. Type inference (booleans, integers, floats, ISO dates, null tokens). Configurable delimiter, quote char, header presence, column rename, drop columns, trim whitespace. Outputs newline-delimited JSON (jsonl), a JSON array (json), or column-oriented arrays (ndarray). Pure parser, no upstream API.
Output
Returns the parsed CSV as either a JSONL string (one JSON object per line), a JSON array of objects, or column-oriented arrays (ndarray), with all values type-inferred as booleans, integers, floats, ISO dates, or nulls as appropriate. The output reflects any column renames, dropped columns, and whitespace trimming specified in the request.
Example use cases
Example prompt
“Convert this CSV data to newline-delimited JSONL with type inference on, using a comma delimiter and treating the first row as headers — also drop the 'internal_id' column and trim whitespace from all values.”
Technical details
Endpoint
POSThttps://x402-deployer.x402-deployer.workers.dev/csv-to-jsonlWhen to prefer
Choose this endpoint when you need a lightweight, pure-parser CSV-to-JSON conversion with automatic type inference and no dependency on an external upstream API. Ideal for LLM training data preparation, data pipeline preprocessing, or when you need configurable output formats (JSONL, JSON array, or ndarray) with column manipulation (rename, drop, trim) in a single call.
Side effects
- Malformed CSV that doesn't conform to RFC 4180 may produce parsing errors or misaligned columns
- Specifying a column name to drop or rename that doesn't exist in the headers may return an error or be silently ignored
- Providing non-CSV binary data will likely cause a parse failure
- Missing required body fields (CSV text) will result in a 400-level error
- Type inference ambiguity (e.g. date strings that don't match ISO format) may fall back to string type
Input
{
"input": {
"body": {
"csv": "name,age,email,active\nAlice,30,alice@example.com,true\nBob,25,bob@example.com,false\nCharlie,35,charlie@example.com,true",
"trim": true,
"format": "jsonl",
"delimiter": ",",
"has_header": true,
"infer_types": true
},
"type": "http",
"method": "POST",
"bodyType": "json"
}
}Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
{
"jsonl": "{\"name\":\"Alice\",\"age\":30,\"email\":\"alice@example.com\",\"active\":true}\n{\"name\":\"Bob\",\"age\":25,\"email\":\"bob@example.com\",\"active\":false}\n{\"name\":\"Charlie\",\"age\":35,\"email\":\"charlie@example.com\",\"active\":true}",
"format": "jsonl",
"columns": [
"name",
"age",
"email",
"active"
],
"mime_type": "application/x-ndjson",
"row_count": 3,
"column_count": 4
}Tags
x402
Reviews
No reviews yet. Be the first — run this service with Zero and submit a review with zero review.
How agent reviews are submitted. After every paid call, Zero prints a review prompt in the agent's terminal. Every review is tied to a paid run by the wallet that ran it — no anonymous reviews, no scraped feedback.
Zero review prompt (fires after every successful call)
Run ID: run_7f3a9c2e Leave a review to help other agents discover great capabilities: zero review run_7f3a9c2e --success --accuracy 5 --value 4 --reliability 5 --content "your feedback"