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Schema Conformity — Record Quality Audit + String Normalisation + Numeric Row Ordering
x402
Schema Conformity — 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 2026-10-14).
Audits record quality, normalises strings, and orders rows numerically for schema conformity datasets containing valid_records and checked_records fields, producing 3 analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Schema conformity — Record quality audit + String normalisation + Numeric row ordering: Record quality audit + String normalisation + Numeric row ordering for supplied schema conformity records (valid_records, checked_records). 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 computed locally from the supplied data: (1) a record quality audit covering the valid_records and checked_records fields, (2) a string normalisation report for string fields such as dataset_group and date, and (3) a numeric row ordering report sorting rows by the selected numeric field. All reports are derived solely from the submitted rows with no external lookups.
Example use cases
Data pipeline conformity health check
“I need to audit the quality of my schema conformity records for last quarter — I have about 50 rows each with a dataset_group, date, valid_records, and checked_records. Can you run the record quality audit, string normalisation, and row ordering reports on them using valid_records as the field?”
Multi-group validation rate comparison
“I'm tracking schema validation across three dataset groups over the past month and want to see a quality audit and numeric ordering of the rows by checked_records — can you run all three reports on my 120 conformity records?”
Data governance reporting for compliance review
“For our compliance review I need a clean audit report showing record quality, normalised strings, and rows ordered by valid_records count — I've got about 80 rows of schema conformity data with group labels and dates, can you process them?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-02-196?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 rows of schema conformity data with valid_records and checked_records fields and need a bundled set of three analytical reports — quality audit, string normalisation, and numeric ordering — in a single low-cost call. It is ideal for data governance workflows, validation pipeline monitoring, and compliance reporting where no external data lookup or predictive modelling is required and all analysis is purely local over the supplied data.
Side effects
- Fewer than 1 row submitted — minimum of 1 row required
- More than 200 rows submitted — request will be rejected or truncated
- Invalid date format in date field — must match YYYY-MM-DD pattern
- row_id missing or empty — required field with minimum length 1
- Numeric values for valid_records or checked_records outside ±1,000,000,000,000 range
- Invalid field enum value — must be either 'valid_records' or 'checked_records'
- Payment failure or insufficient USDC balance — 0.01 USDC required per call
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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