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Test Run Imports — Calendar Date Check
x402
Test Run 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 a test run CSV file, checking up to 1000 rows for date correctness and contract compliance.
Price / call$0.01
Success—
StatusUnknown
How this service works
Test run imports — Calendar date check: Calendar date check for Test run 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 for the submitted CSV, including row-level validation findings indicating which cells contain invalid, missing, or out-of-range date values, along with an overall pass/fail summary for the declared CSV contract.
Example use cases
CI pipeline date integrity check
“I've got a CSV export of our latest test run results with a run_id, executed_on date, and suite_id column — can you check that all the dates in executed_on are valid calendar dates and flag any rows that look malformed or out of range between 2025-01-01 and 2026-12-31?”
Pre-import test results audit
“Before I import this test results CSV into our database, can you validate the date fields? The file uses a comma delimiter, and I want to make sure no executed_on value is outside the range 2020-01-01 to 2027-12-31, and that suite_id is always one of group-a or group-b.”
QA dataset contract verification
“We have a declared CSV schema for test run data — can you run a calendar date check on this CSV to verify that all date cells conform, with max cell length of 500 characters and allowed categories group-a and group-b?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-bx-csv-test-runs-dates?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to validate calendar date fields specifically within a test run CSV import, particularly when working with structured test execution records (run_id, executed_on, suite_id) and need row-level date conformance checking against configurable min/max bounds and allowed category lists. Prefer it over generic CSV validators when the domain is software test results and date correctness is the primary concern.
Side effects
- CSV exceeds 1000 rows — only up to 1000 rows are validated
- CSV string exceeds 100,000 character limit — request rejected
- Invalid delimiter specified — must be comma, semicolon, or tab
- Cell content exceeds max_cell_length — flagged as invalid
- Malformed CSV structure (unclosed quotes, inconsistent columns) — parse error returned
- Minimum value greater than maximum value — constraint conflict 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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