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
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 }.
Returns a JSON object with: url (original), final_url (after redirects), content_type, headers (array of column names), rows (array of arrays, up to 5000), row_count (integer), and warnings (array of any truncation or parsing notices). If has_header is false, headers will be auto-generated.
POSThttps://well-005-csv-to-table.rainmaker-wells.workers.dev/mcp?utm_source=zero.xyz#csv-to-table#csv-to-tableUse this endpoint when you need to programmatically fetch a publicly accessible CSV file from an HTTPS URL and receive structured JSON (headers + rows) without writing your own parser. Ideal for one-off data ingestion, pipeline bootstrapping, or when the CSV is hosted externally and you need to avoid downloading and processing locally. Best for files under 1 MB with up to 5000 rows. Not suitable for private/authenticated CSV endpoints or very large datasets.
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