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CSV to JSON Converter
x402
CSV to JSON Converter is a paid API for AI agents from intel.rallylive.ca, paid per call via x402, $0.01/call, status unknown (last checked 2026-09-14).
Parses a CSV string (including quoted fields and embedded newlines) and returns an array of JSON objects using the first row as headers, along with column names and row count.
Price / call$0.01
Success—
StatusUnknown
How this service works
CSV to JSON: parses quoted fields and embedded newlines, uses the first row as headers, converts numeric and boolean cells, and returns an array of objects plus the columns and row count. $0.01 per call.
Output
Returns a JSON object containing: an array of row objects (each keyed by header column names, with numeric and boolean cells properly typed), a list of column names extracted from the first CSV row, and the total row count.
Example use cases
ETL pipeline data normalization
“I have a CSV export from our CRM with headers 'id', 'revenue', and 'is_active' — can you convert it to a JSON array of objects so I can feed it into our processing pipeline? Make sure numbers and booleans come back typed correctly.”
Spreadsheet import for web app
“Take this CSV I exported from Google Sheets and turn it into JSON objects — the first row has the column names and some cells have commas inside quoted fields, so I need proper parsing.”
Data validation before database insert
“I've got a CSV with embedded newlines in some description fields — can you parse it into JSON records so I can see the exact columns and row count before deciding how to insert it into the database?”
Technical details
Endpoint
GEThttps://intel.rallylive.ca/data/csv-to-jsonWhen to prefer
Choose this endpoint when you need a simple, low-cost ($0.01/call) hosted CSV-to-JSON conversion that correctly handles quoted fields, embedded newlines, and automatic type coercion for numeric and boolean cells — particularly useful in agentic pipelines where you want to avoid running local parsing code or need the column list and row count returned alongside the data.
Side effects
- Missing or empty 'input' parameter returns an error
- Malformed CSV that cannot be parsed may return an error or partial results
- Extremely large CSV payloads may hit size or timeout limits
- Non-UTF-8 encoded CSV content may cause parsing failures
- CSV with no header row will use the first data row incorrectly as headers
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Tags
x402
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