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CSV to YAML Converter
x402
CSV to YAML Converter is a paid API for AI agents from toolshed.lemon-agent.dev, paid per call via x402, $0.002/call, status unknown (last checked 2026-09-14).
Converts a CSV file (with header row) into block-style YAML — a list of maps, one per data row, with all values preserved as strings.
Price / call$0.002
Success—
StatusUnknown
How this service works
CSV to YAML. POST a CSV file with a header row; the response is block-style YAML — a list of maps, one per data row. Parsed to RFC 4180, so quoted commas and embedded newlines survive. Every value stays a string: no type guessing, which is what keeps leading zeros and long ids intact.
Output
A block-style YAML document containing a list of maps, one per data row from the input CSV. Each map's keys are the CSV header fields and all values are strings — no type inference is applied, so leading zeros, long numeric IDs, and special characters are preserved exactly as they appear in the source CSV.
Example use cases
Preserve leading zeros in product codes
“I have a CSV export from our inventory system with product codes that start with zeros — can you convert it to YAML and make sure those leading zeros don't get stripped?”
Convert config data for deployment pipeline
“Take this CSV of environment variables and service names and convert it to YAML so I can drop it into our Ansible playbook as a list of maps.”
Transform quoted CSV with embedded commas
“I've got a CSV file where some fields contain commas inside quotes — can you convert it to YAML? I need it to parse correctly per RFC 4180 so none of the values get split wrong.”
Technical details
Endpoint
POSThttps://toolshed.lemon-agent.dev/convert/csv-yamlWhen to prefer
Choose this endpoint when you need a faithful, string-preserving CSV-to-YAML conversion that respects RFC 4180 quoting rules — especially when your data contains leading zeros, long numeric IDs, quoted commas, or embedded newlines that would be corrupted by type-guessing converters. Prefer it over generic converters when downstream YAML consumers expect all-string values.
Side effects
- Malformed CSV (missing header row or unclosed quotes) may produce an error or garbled output
- Input exceeding 256 KB will be rejected
- CSV with no data rows beyond the header returns an empty YAML list
- Non-UTF-8 encoded files may cause parsing errors
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Tags
x402
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