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Transfer Record Imports — Calendar Date Check
x402
Transfer Record Imports — Calendar Date Check is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-28).
Validates calendar date fields in a CSV of transfer records, checking up to 1000 rows for date format correctness and contract compliance.
Price / call$0.01
Success—
StatusUnknown
How this service works
Transfer record imports — Calendar date check: Calendar date check for Transfer record imports. Validate a declared CSV table contract, up to 1000 rows. Quoted cells supported; no external enrichment. Specialised preset in a shared 50-profile, 20-operation engine. 0.01 USDC includes one CSV calendar date check report.
Output
Returns a structured calendar date check report for the submitted CSV, identifying rows with invalid, missing, or out-of-range date values in the transfer records, up to 1000 rows validated per call.
Example use cases
Pre-import date audit for finance team
“Before we import this month's transfer records, can you validate the executed_on date column in this CSV for any malformed or out-of-range calendar dates? It's comma-delimited and has up to 800 rows.”
Automated QA on nightly transfer exports
“Every night we export a transfer CSV — can you run the calendar date check on it to flag any rows where the date field doesn't look right, using a semicolon delimiter and allowing asset categories group-a and group-b?”
Debugging rejected transfer import
“Our transfer import keeps getting rejected — can you check this CSV for calendar date problems? It's tab-delimited and we need to make sure all executed_on values are valid dates within our expected range.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-bx-csv-transfers-dates?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a lightweight, low-cost ($0.01 USDC) automated check specifically targeting calendar date field validity in CSV-formatted transfer record imports, without needing external enrichment or complex schema inference. Ideal for pre-import QA pipelines validating up to 1000 rows of transfer data.
Side effects
- CSV exceeds 100,000 character limit — request rejected
- CSV has fewer than 1 character — empty input error
- Row count exceeds 1000 rows — may truncate or reject
- Invalid delimiter specified outside allowed enum — validation error
- Cell length exceeds max_cell_length — cell flagged or truncated
- Malformed CSV structure (unmatched quotes) — parse error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| csv | string | |
| maximum | number | |
| minimum | number | |
| delimiter | string | |
| max_cell_length | integer | |
| allowed_categories | array |
Tags
x402
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