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Data Catalog Coverage — Record Quality Audit + Adjacent Row Changes
x402
Data Catalog Coverage — Record Quality Audit + Adjacent Row Changes 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).
Runs two local analytical reports on data catalog coverage rows: a record quality audit and adjacent row change detection, for up to 200 rows of documented_fields/total_fields data.
Price / call$0.01
Success—
StatusUnknown
How this service works
Data catalog coverage — Record quality audit + Adjacent row changes: Record quality audit + Adjacent row changes 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
Returns two independent analytical reports: (1) a record quality audit flagging issues such as nulls, out-of-range values, or malformed entries in the supplied rows; and (2) an adjacent row change analysis showing how documented_fields or total_fields values shift between consecutive rows, all computed locally without external lookups.
Example use cases
Auditing documentation gaps across dataset groups
“I have 150 data catalog entries with dataset_group, documented_fields, and total_fields for each. Can you run a record quality audit on them to surface any rows with bad or missing values, using documented_fields as the focus column?”
Detecting coverage drift between consecutive catalog records
“My team updates catalog coverage daily — can you check these 80 rows of catalog records sorted by date and flag where adjacent rows show significant changes in total_fields coverage?”
Validating catalog completeness before a data governance review
“Before our governance review, I need to audit these 200 catalog rows across our dataset groups for record quality issues and also see how documented_fields changes from one row to the next — can you run both reports?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-21-011?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need two simultaneous analytical reports — record quality audit plus adjacent row change detection — on data catalog coverage records with documented_fields and total_fields metrics, without requiring live data lookups or external integrations. It is ideal for lightweight, self-contained data quality checks within a data governance or catalog management workflow, especially when working with up to 200 rows of catalog data.
Side effects
- More than 200 rows submitted — request rejected or truncated
- Missing required fields (row_id, dataset_group, date, documented_fields, or total_fields) cause row-level errors
- Invalid date format (not YYYY-MM-DD) triggers validation failure
- field enum value not one of 'documented_fields' or 'total_fields' causes error
- Null numeric values may reduce quality of adjacent change detection
- Payment of 0.01 USDC not included — x402 payment required before processing
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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