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Data Catalog Coverage — Record Quality Audit + Secondary-Measure Weighted Mean
x402
Data Catalog Coverage — Record Quality Audit + Secondary-Measure Weighted Mean 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 computes a secondary-measure weighted mean for data catalog coverage records (documented_fields, total_fields) across up to 200 rows, returning two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Data catalog coverage — Record quality audit + Secondary-measure weighted mean: Record quality audit + Secondary-measure weighted mean 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 covering the supplied data catalog coverage rows, flagging data issues and quality metrics; and (2) a secondary-measure weighted mean computation for the selected field (documented_fields or total_fields) across the provided rows, grouped by dataset_group and date. Both reports are generated locally without external lookups.
Example use cases
Data governance documentation completeness audit
“I have 80 data catalog entries with documented_fields and total_fields for each dataset group going back three months — can you run a record quality audit and weighted mean analysis so I can see how well our teams are documenting fields?”
Monthly catalog coverage reporting for data team
“Here are this month's data catalog coverage records for our four dataset groups, with documented_fields and total_fields per row — please give me the record quality audit and the secondary-measure weighted mean so I can include it in the team report.”
Identifying poorly documented datasets by group
“I want to know which dataset groups in my catalog have the weakest field documentation — I have 120 rows with documented_fields and total_fields. Can you audit record quality and compute the weighted mean for documented_fields so I can prioritize improvements?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-21-016?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a data quality audit and a weighted mean computation on data catalog coverage records (documented_fields/total_fields) in a single low-cost call. Ideal for data governance workflows where you want to assess documentation completeness across dataset groups without any external API calls or live data lookups. Best suited for batch sizes up to 200 rows where two bundled analytical reports justify the flat $0.01 USDC fee.
Side effects
- Exceeding 200 rows returns an error or truncated result
- Missing required fields (row_id, dataset_group, date, documented_fields, total_fields) causes validation failure
- Null values in documented_fields or total_fields may affect weighted mean computation
- Invalid date format (not YYYY-MM-DD) triggers schema validation error
- Submitting zero rows fails minItems constraint
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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