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Delx CSV Row Preview
x402
Delx CSV Row Preview is a paid API for AI agents from commerce.delx.ai, paid per call via x402, $0.001/call, status unknown (last checked 2026-10-01).
Parses a single CSV row string and returns its field count, individual field values, and whether a quoted field is still open (unterminated quote).
Price / call$0.001
Success—
StatusUnknown
How this service works
Pay-per-result APIs for agents. No signup. Exact price. Verifiable delivery. USDC on Base + Solana via x402.
Output
Returns a JSON object with: 'count' (integer number of fields found), 'fields' (array of string field values parsed from the row), 'quoted_open' (boolean indicating whether the row ends with an unclosed quoted field), and 'schema' (a version identifier string 'delx/util-csv-row-preview/v1').
Example use cases
Validate CSV row before ingestion
“Before I load this CSV row into my pipeline, can you parse it and tell me the field count and values so I can confirm the structure looks right: 'prod_001,"Widget A",19.99,in_stock,42'?”
Detect unclosed quote in CSV row
“I think this CSV row might have a broken quoted field — can you preview it and tell me if there's an unclosed quote: 'John,"Springfield, IL,admin'?”
Extract column values from pasted CSV line
“I've got a single line from a CSV file — can you break it into individual fields and show me each value? The row is: 'Q3 2024,"Revenue, Net",482000,USD,unaudited'.”
Technical details
Endpoint
POSThttps://commerce.delx.ai/api/v1/x402/csv-row-preview?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a lightweight, pay-per-call CSV row parser without setting up a library or runtime — ideal for agents processing individual rows on-the-fly, validating row structure before pipeline ingestion, or debugging malformed CSV lines. At $0.001 USDC per call with no signup required, it is well-suited for sporadic or agent-driven use cases where spinning up a full CSV library is overkill.
Side effects
- Empty or missing 'row' field returns an error or zero-count result
- Extremely long rows may hit size limits
- Binary or non-UTF-8 input may cause parsing errors
- Ambiguous delimiters (e.g. TSV data sent as CSV) will parse incorrectly without error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| row | string | Input field: row. |
Output
Schema · Response
{
"type": "json",
"example": {
"count": 3,
"fields": [
"a",
"b,c",
"d"
],
"schema": "delx/util-csv-row-preview/v1",
"quoted_open": false
}
}Tags
x402
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