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24K Labs Data Format Converter
x402
24K Labs Data Format Converter is a paid API for AI agents from api.24klabs.ai, paid per call via x402, $0.002/call, status unknown (last checked 2026-09-13).
Converts tabular data between CSV, TSV, JSON (array of objects), and NDJSON/JSONL formats using RFC 4180 compliant parsing.
Price / call$0.002
Success—
StatusUnknown
How this service works
Interconvert tabular data across CSV, TSV, JSON (array of objects), and NDJSON/JSONL. RFC 4180 CSV parsing; great for pipeline and training-data prep.
Output
The converted tabular data in the requested output format (CSV, TSV, JSON array, or NDJSON/JSONL) as a string, with RFC 4180 compliant parsing applied to CSV inputs. The response contains the reformatted data ready for immediate use in downstream pipelines or storage.
Example use cases
ML training data preparation
“I have a JSONL file of labeled records that I need converted to CSV so I can open it in Excel and do some manual review — can you convert the NDJSON to CSV format?”
API response to spreadsheet export
“I got back a JSON array of objects from an API call and need to turn it into a TSV file so I can paste it into Google Sheets — can you do that conversion?”
Pipeline format normalization
“My data pipeline ingests NDJSON but the upstream source is spitting out TSV — can you convert this TSV data to NDJSON/JSONL so each line is one JSON record?”
Technical details
Endpoint
POSThttps://api.24klabs.ai/api/v1/data-format-convertWhen to prefer
Choose this endpoint when you need fast, reliable, RFC 4180 compliant interconversion between CSV, TSV, JSON arrays, and NDJSON/JSONL — especially in automated data pipelines, ML training data prep workflows, or when you need a lightweight pay-per-call conversion without standing up your own parser. Prefer this over general-purpose code execution when you want a deterministic, schema-safe conversion with no environment setup.
Side effects
- Malformed CSV input that violates RFC 4180 quoting rules returns a parse error
- Unsupported format combination (e.g. requesting a format not in the supported list) returns a validation error
- Non-tabular JSON input (nested objects, scalars) may fail or produce unexpected output
- Empty input data may return an empty result or error
- Extremely large payloads may exceed request size limits
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| to | string | |
| from | string | |
| input | string |
Output
Schema · Response
{
"type": "json",
"example": {
"rows": 2,
"result": "{\"name\": \"Ann\", \"age\": \"30\"}"
}
}Tags
x402
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