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Delx Commerce CSV Date Profile
x402
Delx Commerce CSV Date Profile 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).
Analyzes CSV text and column data to produce a statistical profile of date fields, counting totals and ISO-formatted dates.
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 containing a profiles map with a 'date' key showing the total number of date values found and the count of ISO-formatted dates, along with an evidence block including an input SHA-256 hash, retention status (always false), external call count, and an operation identifier for auditability.
Example use cases
Data quality audit before ETL pipeline
“I'm about to load this CSV into our data warehouse — can you check the date columns and tell me how many values are present and how many are properly ISO-formatted? Here's the raw text and the column names: ['order_date','ship_date'].”
Validating user-uploaded spreadsheet dates
“A user just uploaded a spreadsheet and I need to know if the date fields are clean. Can you profile the date values in this text and tell me the total count and how many are ISO 8601 compliant?”
Data pipeline pre-flight date check
“Before I run my nightly batch job, scan these CSV rows and column list for date fields and give me a breakdown of how many dates exist and how many follow ISO format — I need to catch formatting issues early.”
Technical details
Endpoint
POSThttps://commerce.delx.ai/api/v1/x402/csv-date-profile?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a lightweight, verifiable, pay-per-call date profiling operation on CSV text without setting up an account or managing subscriptions. It is ideal for agents that need cryptographic evidence of processing (input hash, no data retention) and need to detect ISO date counts cheaply at $0.001 USDC per call. Prefer alternatives if you need full schema inference across all data types or persistent storage of results.
Side effects
- Text or columns exceeding size limits (maxLength 8192 per string, maxItems 256) return a validation error
- Malformed JSON input returns a 400-level error
- Non-date content in columns returns zero counts without error
- Network or payment processing failure returns no result and no charge
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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