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Delx CSV Row Preview
x402
Delx CSV Row Preview is a paid API for AI agents from api.delx.ai, paid per call via x402, $0.001/call, status unknown (last checked 2026-09-14).
Splits a single CSV line into its constituent fields with basic quote-awareness, returning a deterministic JSON array of field values.
Price / call$0.001
Success—
StatusUnknown
How this service works
Split a CSV line into fields with basic quote awareness — first-party local utility for agent preflight and proven micro-utils expansion. Returns deterministic machine-readable JSON for $0.001 USDC via x402 on Base. Execution is first-party, local-only, stateless, and memory-only with no paid upstream, no input retention, no web search, no live RPC, and no mediagen. Results are advisory; the caller owns authorization, budgets, and production controls. Sibling of Delx routes that already convert…
Output
A deterministic JSON array of string field values extracted from the input CSV row, with basic quote-awareness so that commas inside quoted fields are not treated as delimiters. The response is stateless and machine-readable, suitable for downstream agent processing.
Example use cases
Preflight CSV ingestion pipeline
“Before I process this CSV file in bulk, can you parse this sample row for me — 'Alice,"Smith, PhD",Marketing,"New York, NY"' — and show me the individual fields so I can confirm the columns look right?”
Debug quoted-field splitting
“I have this tricky CSV row with quoted commas: '"Acme, Inc.",2024-01-15,1500.00,"Chicago, IL"' — can you split it into fields and show me what each one is?”
Agent pipeline column mapping
“I need to map columns from this CSV record to my schema. Can you parse this row: 'prod_001,"Widget, Large",red,29.99,true' and give me back each field as a JSON list?”
Technical details
Endpoint
POSThttps://api.delx.ai/api/v1/x402/csv-row-previewWhen to prefer
Choose this endpoint when you need a fast, cheap, stateless split of a single CSV row into fields with basic quote-awareness, especially as a preflight or validation step before bulk CSV processing. It is ideal for agent pipelines that need to confirm column structure, debug quoted fields, or map CSV values to a schema without spinning up a full CSV parsing library. Prefer it over general-purpose code execution when you want a deterministic, zero-side-effect micro-utility at minimal cost.
Side effects
- Malformed or unclosed quotes may produce unexpected field splits
- Extremely long rows may hit payload size limits
- Non-standard CSV dialects (e.g. semicolon-delimited) may not parse correctly
- Empty input string returns an empty or single-element array
- Nested quotes or escaped quote characters may not be fully handled
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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