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Test Run Imports — Required Cell Check
x402
Test Run Imports — Required Cell 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 all required cells in a test run CSV are non-empty, checking up to 1000 rows against a declared table contract.
Price / call$0.01
Success—
StatusUnknown
How this service works
Test run imports — Required cell check: Required cell 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 required cell check report.
Output
Returns a required cell check report indicating which rows and columns have missing or empty required cells, along with a summary of the validation outcome for the submitted test run CSV (up to 1000 rows).
Example use cases
Pre-import QA pipeline validation
“Before we push this batch of test run results into the database, can you validate the CSV to make sure every required cell is filled in? It's comma-delimited with columns run_id, executed_on, suite_id, passed_tests, failed_tests, and the allowed suite categories are group-a and group-b.”
CI/CD test results integrity check
“Our CI pipeline just exported a test run CSV and I need to verify all required fields are populated before archiving it — delimiter is comma, max cell length is 500, and suite categories should only be group-a or group-b. Can you run a required cell check?”
QA data migration readiness audit
“We're migrating test run records from a legacy system and the export CSV might have gaps in required columns like run_id or executed_on — can you check the CSV for any missing required cells before we import it? It uses comma delimiters and up to 1000 rows.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-bx-csv-test-runs-required?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to specifically verify that no required cells are empty in a test run CSV before importing it into a downstream system. It is purpose-built for the test run imports schema (run_id, executed_on, suite_id, passed_tests, failed_tests) and supports allowed category filtering. Prefer it over generic CSV validators when you need a focused, low-cost ($0.01 USDC) required-field completeness check with quoted cell support and configurable delimiters.
Side effects
- CSV exceeds 1000 row limit — partial or rejected processing
- CSV string exceeds 100,000 character maxLength — request rejected
- Invalid delimiter specified (must be comma, semicolon, or tab) — validation error
- Cell length exceeds max_cell_length setting — flagged or rejected
- Malformed CSV (unclosed quotes, inconsistent columns) — parse error
- Empty CSV input — validation error due to minLength:1 constraint
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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