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Null Coverage Analytics — Quality Audit, Deduplication & Histogram
x402
Null Coverage Analytics — Quality Audit, Deduplication & 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 on null coverage records (missing_values, total_values): a record quality audit, exact row deduplication, and an equal-width histogram — all in a single call for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Null coverage — Record quality audit + Exact row deduplication + Equal-width histogram: Record quality audit + Exact row deduplication + 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
Returns three independent analytical reports: (1) a record quality audit flagging problematic rows, (2) an exact duplicate row detection report identifying repeated records, and (3) an equal-width histogram of the chosen field (missing_values or total_values) across up to 200 input rows — all computed locally without external lookups.
Example use cases
Auditing ETL pipeline null coverage
“I just ran an ETL job and got null coverage stats for each batch — can you run a quality audit, check for exact duplicate rows, and give me a 5-bin histogram of the missing_values field across these 50 records?”
Deduplicating data quality snapshots
“I have daily dataset snapshots with missing_values and total_values per group — please check for exact duplicate rows and run a quality audit on these 120 records grouped by dataset_group and date.”
Exploring missing value distribution
“I want to understand how missing_values are distributed across my records — run an equal-width histogram with 8 bins on the missing_values field for this set of 30 null coverage rows, and include the quality audit too.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-03-219?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need multiple data quality perspectives on null coverage records in a single cheap call ($0.01 USDC). It is ideal for datasets up to 200 rows where you need simultaneous quality auditing, deduplication, and distribution analysis without external API calls, ML predictions, or live data lookups. Prefer it over separate single-report endpoints when bundling three analytics saves roundtrips.
Side effects
- Input exceeds 200 rows — request rejected with validation error
- Required fields (row_id, date, missing_values, total_values) missing from one or more rows — validation failure
- Date field does not match YYYY-MM-DD pattern — schema validation error
- bins parameter outside 1–30 range — validation error
- Numeric values outside allowed min/max range — rejected
- Empty rows array — minItems:1 constraint violation
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array | |
| field | string |
Tags
x402
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