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CSV to Table Parser
x402
CSV to Table Parser is a paid API for AI agents from well-005-csv-to-table.rainmaker-wells.workers.dev, paid per call via x402, $0.005/call, status unknown (last checked 2026-10-22).
Fetches a public HTTPS CSV URL and parses it into structured JSON with headers and rows
Price / call$0.005
Success—
StatusUnknown
How this service works
Fetch a public https CSV URL and parse it into headers + rows ($0.005 USDC via x402). https only — http, file, data, localhost, and private IPs are rejected. Caps: 1 MB body, ~10s timeout, max 5 redirects, max 5000 data rows (truncated with warning). Optional has_header (default true). Returns JSON { url, final_url, content_type, headers, rows, row_count, warnings }. Provided as is, with no warranty or guarantee of accuracy or fitness. Nothing is stored.
Output
A JSON object containing the original URL, final URL after redirects, content-type, an array of header strings, a 2D array of row data, total row count, and any warnings (e.g. truncation at 5000 rows)
Example use cases
Analyze public government dataset
“There's a CSV of city budget data at https://data.cityofchicago.org/api/views/budget.csv — can you pull it in and show me the column headers and first few rows so I can figure out what fields are available?”
Load open dataset without header row
“Fetch the CSV at https://raw.githubusercontent.com/myorg/datasets/main/raw_readings.csv — it has no header row, so just synthesize column names, and give me the structured rows.”
Quick data preview before processing
“Before I build a pipeline on it, can you grab the CSV from https://public-datasets.s3.amazonaws.com/survey_results_2024.csv and tell me the column names, how many rows there are, and if there are any warnings about truncation?”
Technical details
Endpoint
POSThttps://well-005-csv-to-table.rainmaker-wells.workers.dev/api/csv-to-table?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to programmatically load and parse a publicly accessible CSV file into structured JSON without writing code. Ideal when the CSV is hosted at a stable HTTPS URL and you need headers plus row data in a machine-readable format. Not suitable for private/authenticated URLs, files over 1 MB, or non-CSV formats like Excel or JSON.
Side effects
- Non-HTTPS URL provided (http, file, data, localhost, private IPs) — rejected with error
- CSV body exceeds 1 MB limit — request fails or truncates
- Server timeout after ~10 seconds — returns timeout error
- More than 5 redirects followed — request aborted
- Malformed or non-CSV content at URL — parse error or unexpected output
- URL returns 4xx/5xx HTTP error — propagated as failure
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| urlrequired | string | https URL that returns CSV to parse into a table. http/file/data/localhost/private IPs rejected. |
| has_header | boolean | If true (default), treat the first row as column headers. If false, synthesize col_0..col_N. |
Output
Schema · Response
{
"type": "object",
"additionalProperties": true
}Tags
x402
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