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Data Catalog Coverage — String Normalisation + Equal-Width Histogram
x402
Data Catalog Coverage — String Normalisation + Equal-Width Histogram 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 string normalisation and equal-width histogram analytics on data catalog coverage records (documented_fields, total_fields) for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Data catalog coverage — String normalisation + Equal-width histogram: String normalisation + Equal-width histogram 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 analytical reports sharing the same input rows: (1) a string normalisation report for the selected field, cleaning and standardising text/numeric representations; and (2) an equal-width histogram report dividing the field's value range into the requested number of bins with counts per bin. Both reports cover up to 200 supplied rows and are computed locally without external lookups.
Example use cases
Field coverage distribution audit
“I have 50 dataset catalog entries with documented_fields and total_fields counts. Can you run string normalisation and a 10-bin equal-width histogram on the documented_fields column so I can see how coverage is distributed across my catalog?”
Multi-group catalog quality review
“We track documented_fields and total_fields across two dataset groups, alpha and beta, for the past quarter — 120 rows total. Please normalise the strings and generate a 7-bin histogram on total_fields so I can spot where documentation gaps cluster.”
Baseline catalog coverage snapshot
“I'm onboarding a new data governance tool and want a baseline snapshot. Run string normalisation and a 5-bin equal-width histogram on these 30 catalog coverage rows (documented_fields and total_fields) so I can report the initial distribution to my team.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-21-031?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need fast, local string normalisation and frequency histogram analytics specifically on data catalog coverage fields (documented_fields, total_fields) without any external data lookup or ML prediction. It is ideal for data governance teams wanting a quick distribution snapshot of field documentation rates across dataset groups, especially when working with up to 200 rows and needing two complementary analytical views in a single low-cost call.
Side effects
- More than 200 rows submitted — request rejected or truncated
- Missing required row fields (row_id, documented_fields, total_fields, date, dataset_group) — validation error
- bins value outside 1–30 range — schema validation failure
- Null values in numeric fields may affect histogram bin boundaries
- Invalid date format (not YYYY-MM-DD) — pattern validation error
- Payment not completed — endpoint returns 402 status
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array | |
| field | string |
Tags
x402
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