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Catalog Completeness — Record Quality Audit + Two-Measure Correlation
x402
Catalog Completeness — Record Quality Audit + Two-Measure Correlation is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-26).
Audits record quality and computes a two-measure correlation between populated_fields and required_fields for up to 200 catalog completeness rows, producing two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Catalog completeness — Record quality audit + Two-measure correlation: Record quality audit + Two-measure correlation for supplied catalog completeness records (populated_fields, required_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 summarizing field population rates and data quality metrics per row/group, and (2) a two-measure correlation report quantifying the statistical relationship between populated_fields and required_fields across the supplied rows. No external lookups or predictions are made; all analysis is performed locally on the submitted data.
Example use cases
Retail catalog data quality review
“I need to audit the completeness of our product catalog records across two store groups for October. Here are 50 rows with each record's populated_fields and required_fields counts — can you run the record quality audit and tell me how populated_fields and required_fields correlate?”
Weekly data governance report
“Every Monday I want a quality audit on our catalog records from the prior week. I have 120 rows with row_id, store_group, date, populated_fields, and required_fields — please run both the record quality audit and the two-measure correlation and give me the two reports.”
Comparing completeness across store groups
“Can you analyze our catalog completeness data for store groups 'east-region' and 'west-region' over the last month? I have about 180 rows with populated_fields and required_fields — I want to see which group has better record quality and whether the two measures are correlated.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-retail-10-015?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a record quality audit AND a correlation analysis between populated_fields and required_fields in a single low-cost call ($0.01 USDC for up to 200 rows). Prefer it over general-purpose analytics tools when your data is already structured as catalog completeness records with store_group and date dimensions, and you want two distinct reports without any external data enrichment or prediction.
Side effects
- More than 200 rows submitted — request will be rejected or truncated
- Missing required fields (row_id, store_group, date, populated_fields, required_fields) causes validation error
- Invalid date format (not YYYY-MM-DD) triggers schema rejection
- Null values in both populated_fields and required_fields may degrade correlation computation
- Single-row input may produce degenerate or undefined correlation results
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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