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Null Coverage Audit: Record Quality, Exact Deduplication & Duplicate Key Report
x402
Null Coverage Audit: Record Quality, Exact Deduplication & Duplicate Key Report is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-18).
Runs three local analytical reports on null-coverage records: a record quality audit, exact row deduplication, and a duplicate key report — all for up to 200 rows of missing_values/total_values data.
Price / call$0.01
Success—
StatusUnknown
How this service works
Null coverage — Record quality audit + Exact row deduplication + Duplicate key report: Record quality audit + Exact row deduplication + Duplicate key report 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 summarizing issues across the supplied null-coverage rows, (2) an exact row deduplication result identifying and removing fully duplicate rows, and (3) a duplicate key report flagging rows that share the same key fields. All analysis is performed locally against the supplied data — no external lookups or predictions are made.
Example use cases
Data pipeline null coverage audit
“I've got a batch of up to 200 rows from our data pipeline, each with a row_id, dataset_group, date, missing_values, and total_values — can you run the record quality audit, deduplication, and duplicate key report on them so I can catch any bad records before we load them?”
Detecting duplicate keys across dataset groups
“We suspect some of our dataset groups have duplicate row IDs across different dates. Can you run the duplicate key report and exact row deduplication on these null coverage records to flag anything suspicious?”
Monthly data completeness review
“At the end of this month I need to audit all the null coverage stats we collected — about 150 rows across several groups — for record quality issues, exact duplicates, and duplicate keys. Can you generate all three reports at once?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-03-209?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need three simultaneous data-quality reports (quality audit, exact deduplication, and duplicate key detection) on null-coverage records in a single low-cost call. It is ideal for batch validation of up to 200 rows of grouped missing-value statistics before downstream processing. It is not suitable for live data lookups, predictive analytics, or datasets exceeding 200 rows.
Side effects
- Rows array empty or missing — request rejected
- More than 200 rows supplied — exceeds maximum item limit
- Row missing required fields (row_id, dataset_group, date, missing_values, total_values) — validation error
- Date field not matching YYYY-MM-DD pattern — schema validation failure
- Payment of 0.01 USDC not completed — request blocked
- total_values or missing_values outside allowed numeric range — schema error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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