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CSV Date Profile
x402
CSV Date Profile 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).
Profiles ISO date parse success rates for selected columns in a CSV dataset, returning counts, normalized values, and a versioned validation result.
Price / call$0.001
Success—
StatusUnknown
How this service works
CSV Date Profile: CSV Date Profile profiles ISO date parse success for selected CSV columns from bounded caller-supplied values without an external provider. Call CSV Date Profile before an agent hands structured data or a batch plan to a downstream tool with a stricter contract. Returns the bounded transformation or validation finding with counts, normalized values, and a versioned result contract for CSV Date Profile as versioned deterministic JSON. Price: $0.001 USDC via x402 on Base. First-…
Output
Returns a versioned deterministic JSON object containing ISO date parse success and failure counts per column, normalized date values for parseable entries, and a structured validation finding summary — all computed in-memory without data retention.
Example use cases
Pre-pipeline date quality audit
“Before I send this CSV batch to the fulfillment system, can you check how well the 'created_at' and 'due_date' columns parse as ISO dates and give me the success counts?”
ETL validation before downstream API
“I need to validate the 'event_date' column in this CSV data — profile it for ISO date parse success so I know if it's safe to pass to the scheduling tool.”
Data quality report for business users
“Can you analyze the 'invoice_date' and 'payment_date' columns in this CSV and tell me how many entries are valid ISO dates, how many fail, and what the normalized values look like?”
Technical details
Endpoint
POSThttps://api.delx.ai/api/v1/x402/csv-date-profileWhen to prefer
Use this endpoint when you need a fast, deterministic, in-memory check of ISO date parse quality across specific CSV columns before handing structured data to a downstream tool with a stricter schema contract. Prefer it over general-purpose data validation tools when you specifically need per-column date parse counts and normalized outputs in a versioned JSON format without any data retention.
Side effects
- Malformed CSV text causing parsing errors
- Column names not found in the provided CSV
- Input text exceeding 8192 character limit
- Column array exceeding 256 items limit
- Non-ISO date formats causing low parse success rates returned as findings rather than errors
- Payment failure via x402 resulting in 402 response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| text | string | Text supplied to CSV Date Profile; used only for this bounded calculation and processed in memory without retention. |
| columns | array | Columns supplied to CSV Date Profile; used only for this bounded calculation and processed in memory without retention. |
Output
Schema · Response
{
"type": "json",
"example": {
"result": {
"profiles": {
"date": {
"total": 2,
"iso_dates": 2
}
}
},
"schema": "delx/util-csv-date-profile/v1",
"status": "pass",
"evidence": {
"retained": false,
"input_sha256": "c644d5a7fb1c7c7fa6c422c1f84293b0e8d805b226baa085e481e5f1651a863d",
"external_calls": 0
},
"operation": "data_batch:csv_date_profile"
}
}Tags
x402
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