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Data Catalog Coverage — String Normalisation + Secondary-Measure Weighted Mean
x402
Data Catalog Coverage — String Normalisation + 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).
Normalises strings and computes a secondary-measure weighted mean for data catalog coverage records (documented_fields, total_fields) across up to 200 rows, returning two analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Data catalog coverage — String normalisation + Secondary-measure weighted mean: String normalisation + 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 analytical reports covering: (1) normalised string output for the dataset_group field across the submitted rows, and (2) a secondary-measure weighted mean of the selected field (documented_fields or total_fields) computed using the other measure as weighting, returned as structured local analysis with no external lookups.
Example use cases
Catalog documentation completeness audit
“I have 50 rows of data catalog records with documented_fields and total_fields for groups like 'product-data' and 'customer-data' across Q3 dates — can you normalise the group name strings and give me a secondary-measure weighted mean of documented_fields across all of them?”
Cross-team field coverage comparison
“We track how many fields are documented vs total for each dataset team by date. Can you normalise those team name strings and compute a weighted mean of total_fields using documented_fields as the secondary measure across my 120 rows?”
Monthly catalog quality summary
“I need to summarise our data catalog coverage for November — I have rows with row_id, dataset_group, date, documented_fields, and total_fields. Please normalise the group labels and calculate the secondary-measure weighted mean on documented_fields so I can see overall documentation quality.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-21-034?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both string normalisation of categorical group labels AND a secondary-measure weighted mean on data catalog coverage fields in a single call, without requiring external data sources or live lookups. Ideal for batch analysis of up to 200 catalog coverage rows where you want grouped, weighted quality metrics in one low-cost operation.
Side effects
- More than 200 rows submitted — request exceeds row limit and will be rejected
- Missing required fields (row_id, dataset_group, date, documented_fields, total_fields) causes validation failure
- Invalid date format (not YYYY-MM-DD) triggers schema validation error
- Null values in both documented_fields and total_fields may produce undefined weighted mean
- field enum value not matching 'documented_fields' or 'total_fields' causes rejection
- Payment of 0.01 USDC not provided or x402 protocol failure prevents processing
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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