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Order Imports — Calendar Date Check
x402
Order 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 2026-10-15).
Validates calendar date fields in an order import CSV file (up to 1000 rows), checking for date format correctness and range compliance.
Price / call$0.01
Success—
StatusUnknown
How this service works
Order imports — Calendar date check: Calendar date check for Order 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 calendar date check report covering up to 1000 rows of the submitted CSV, flagging cells with invalid date formats, out-of-range dates, or other date-related anomalies, with row-level detail on any failures found.
Example use cases
Pre-import order date audit
“Before I load this CSV into our order management system, can you check that all the ordered_on dates are valid and fall within 2025? Here's the CSV with order_id, ordered_on, customer_id, gross_amount, and item_count columns, comma-separated.”
E-commerce data migration validation
“I'm migrating historical order data and I need to verify the date fields are all correctly formatted. Can you run a calendar date check on this semicolon-delimited order CSV — flag any rows where the date is outside the range 2020-01-01 to 2024-12-31?”
Recurring nightly order file QA
“We receive a nightly order import file from our supplier and I need to validate the dates every time before processing. Can you check this CSV for any invalid or out-of-range order dates — the file uses tab-delimited format and dates should all be within 2026?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-bx-csv-orders-dates?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a cheap, fast, focused validation of calendar date fields specifically within order import CSVs — especially before loading data into a system of record. Ideal for automated pipelines doing pre-flight date checks on up to 1000-row batches. Prefer this over general CSV validators when date correctness is the primary concern and you want a specialized report without broader enrichment.
Side effects
- CSV exceeds 100,000 character limit — request rejected
- CSV contains fewer than 1 or malformed rows — parsing error
- Delimiter mismatch causing incorrect cell parsing — false positives or parse failures
- Cell length exceeds max_cell_length setting — cell truncation or error
- Date values outside the representable range — boundary edge cases
- Non-date columns flagged if schema detection misidentifies columns
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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