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Test Run Imports — Numeric Type Check
x402
Test Run Imports — Numeric Type 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 that numeric columns in a CSV test-run import file contain values within specified bounds and belong to allowed categories, returning a type-check report.
Price / call$0.01
Success—
StatusUnknown
How this service works
Test run imports — Numeric type check: Numeric type 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 numeric type check report.
Output
A CSV numeric type check report indicating which rows and cells pass or fail numeric type validation, including whether values fall within the specified minimum/maximum bounds and whether categorical cells match the allowed values list. Up to 1000 rows are checked per call.
Example use cases
CI pipeline CSV import gate
“Before we import these test run results into the dashboard, run a numeric type check on this CSV — comma-delimited, numbers should be between 0 and 500, and only suite IDs 'regression' and 'smoke' are allowed. Flag any rows that fail.”
QA data integrity audit
“I have a CSV export of test runs from last sprint. Can you validate that the passed_tests and failed_tests columns are all proper numbers with no stray text, values between 0 and 1000, and delimiter is a semicolon?”
Automated test result validation before DB load
“We're about to bulk-load a test results CSV into our database. Check that all numeric fields are valid numbers, nothing below 0 or above 50000, using tab as the delimiter, and allowed suite categories are 'unit', 'integration', and 'e2e'.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-bx-csv-test-runs-types?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a lightweight, low-cost ($0.01 USDC) automated check specifically for numeric type conformance in CSV files representing test run data, especially when you want to enforce value ranges and categorical constraints before importing into a test results system. Prefer it over general-purpose CSV validators when your schema includes numeric columns that must stay within defined bounds.
Side effects
- CSV exceeds 100,000 character limit — request rejected
- CSV has fewer than 1 character — request rejected
- Delimiter mismatch causes all cells to be read as single column
- minimum value greater than maximum value causes invalid range
- Cell length exceeds max_cell_length — cells flagged or truncated
- Malformed CSV quoting leads to parse errors
- Non-numeric values in numeric columns reported as type violations
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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