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Null Coverage Analytics — Record Quality Audit, String Normalisation & Equal-Width Histogram
x402
Null Coverage Analytics — Record Quality Audit, 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 2026-10-14).
Runs three local analytical reports (record quality audit, string normalisation, and equal-width histogram) on supplied null-coverage data rows containing missing_values and total_values fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Null coverage — Record quality audit + String normalisation + Equal-width histogram: Record quality audit + String normalisation + Equal-width histogram for supplied null coverage records (missing_values, total_values). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.
Output
Three structured analytical reports: (1) a record quality audit summarising completeness and validity of the supplied rows, (2) a string normalisation report on text fields such as row_id and dataset_group, and (3) an equal-width histogram over the selected numeric field (missing_values or total_values) divided into the requested number of bins. All processing is local with no external lookups.
Example use cases
Dataset completeness audit across groups
“I have 50 records from two dataset groups, each with a row_id, date, missing_values, and total_values. Can you run the record quality audit and string normalisation reports on them so I can see which groups have the worst null coverage?”
Histogram of missing value distribution
“Take these 100 null-coverage records with missing_values and total_values fields and produce an equal-width histogram with 10 bins on the missing_values field so I can see how the missingness is distributed.”
Daily null coverage trend profiling
“I've got 200 daily records tagged by dataset_group with missing_values and total_values going back several months. Run all three reports — quality audit, string normalisation, and a 7-bin histogram on total_values — so I can profile the null coverage trend.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-03-202?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need three combined data-quality reports (record audit, string normalisation, histogram) on null-coverage metrics in a single low-cost call, without requiring any external data lookup or live prediction. Ideal for batch profiling of up to 200 rows of dataset completeness records where you want local, deterministic analysis at minimal cost ($0.01 USDC for all three reports).
Side effects
- Fewer than 1 or more than 200 rows supplied — request rejected
- missing_values or total_values outside allowed numeric range — validation error
- date field not matching YYYY-MM-DD pattern — row rejected
- bins parameter outside 1–30 range — validation error
- field enum value not one of missing_values or total_values — error
- row_id missing or empty — required field validation failure
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array | |
| field | string |
Tags
x402
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