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Release Readiness Record Quality Audit + String Normalisation + Numeric Row Ordering
x402
Release Readiness Record Quality Audit + String Normalisation + Numeric Row Ordering is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-24).
Audits release readiness records for quality, normalises string fields, and orders rows numerically across checks_passed and checks_total columns — delivering 3 independent analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Release readiness — Record quality audit + String normalisation + Numeric row ordering: Record quality audit + String normalisation + Numeric row ordering for supplied release readiness records (checks_passed, checks_total). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.
Output
Returns 3 independent analytical reports: (1) a record quality audit flagging issues in the supplied release readiness rows, (2) normalised string values for text fields like component names, and (3) rows reordered numerically by the selected field (checks_passed or checks_total). All processing is performed locally on the supplied data with no external lookups.
Example use cases
Pre-release data health check
“I have 50 release readiness records with component names, dates, checks_passed and checks_total values — can you audit them for quality issues, normalise the string fields, and sort the rows by checks_total so I can see which components have the most checks before we ship?”
CI pipeline check data cleanup
“After our sprint, I've got 120 rows of release readiness data across components like auth-service and payment-api with checks_passed and checks_total filled in — run the full quality audit, string normalisation, and numeric ordering by checks_passed so we can review them cleanly.”
Release gate data validation
“We're about to cut a release and I need to validate 80 rows of readiness check records — can you do a record quality audit, normalise the component name strings, and order everything numerically by checks_total to help us spot any anomalies?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-software-12-196?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a bundled, low-cost ($0.01 USDC) combination of data quality auditing, string normalisation, and numeric ordering specifically for release readiness records containing checks_passed and checks_total fields. It is ideal for CI/CD pipelines, pre-release validation workflows, or any scenario where you want three analytical perspectives on the same dataset in a single call without requiring external data sources or predictions.
Side effects
- Fewer than 1 or more than 200 rows supplied — request rejected
- Invalid date format (not YYYY-MM-DD) — validation error
- Missing required fields (row_id, component, date, checks_passed, checks_total) — schema validation failure
- checks_passed or checks_total values outside allowed numeric range — rejection
- Invalid field selector (not checks_passed or checks_total) — enum validation error
- Payment not included or insufficient — x402 payment required response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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