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Data Catalog Coverage — Record Quality Audit & Numeric Row Ordering
x402
Data Catalog Coverage — Record Quality Audit & 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 2026-10-23).
Audits record quality and orders rows numerically for data catalog coverage records with documented_fields and total_fields metrics, returning two analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Data catalog coverage — Record quality audit + Numeric row ordering: Record quality audit + Numeric row ordering for supplied data catalog coverage records (documented_fields, total_fields). Up to 200 rows; 2 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 2 supplied-data reports for up to 200 rows.
Output
Two independent analytical reports: (1) a record quality audit evaluating the quality of each row's documented_fields and total_fields data, and (2) a numeric row ordering ranking the supplied rows by the selected field (documented_fields or total_fields). Results are computed locally with no external lookups.
Example use cases
Data governance documentation health check
“I need to audit the documentation quality of my data catalog — here are 10 catalog entries across three dataset groups with their documented_fields and total_fields counts. Give me a record quality audit and sort them numerically by documented_fields.”
Ranking datasets by field coverage completeness
“Can you order these 50 catalog coverage records numerically by total_fields and also run a quality audit on them? I want to know which dataset groups have the most complete field definitions.”
Spotting under-documented datasets in a catalog
“I have a batch of 30 data catalog rows tagged to groups like 'crm', 'finance', and 'logistics' with documented_fields and total_fields values from last quarter. Run a record quality audit and numeric row ordering on them so I can see which ones need documentation attention.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-21-007?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a quality audit and numeric ordering for data catalog coverage records in a single call, without needing live data lookup, external integrations, or predictions. Ideal for data governance workflows where you supply your own catalog records and want two structured analytical outputs at low cost.
Side effects
- Rows array empty or missing — minimum 1 row required
- More than 200 rows submitted — exceeds maxItems limit
- Invalid date format — must match YYYY-MM-DD pattern
- row_id missing or empty — required field per row
- field enum value not recognized — must be 'documented_fields' or 'total_fields'
- Numeric field values out of allowed range (±1,000,000,000,000)
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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