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Null Coverage Analytics — Record Quality Audit, Exact Row Deduplication, and Adjacent Row Changes
x402
Null Coverage Analytics — Record Quality Audit, Exact Row Deduplication, and Adjacent Row Changes 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, exact row deduplication, and adjacent row changes) on supplied null-coverage data rows containing missing and total value counts.
Price / call$0.01
Success—
StatusUnknown
How this service works
Null coverage — Record quality audit + Exact row deduplication + Adjacent row changes: Record quality audit + Exact row deduplication + Adjacent row changes 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 independent analytical reports returned together: (1) a record quality audit summarizing completeness and integrity issues across the supplied rows, (2) an exact row deduplication report identifying identical records, and (3) an adjacent row changes report showing value shifts between consecutive rows — all computed locally on the submitted data with no external lookups.
Example use cases
Data completeness pipeline audit
“I'm tracking dataset completeness across multiple groups and I want you to audit these rows for quality issues, find any exact duplicates, and show me how missing_values changed between adjacent rows — here are my records with row_id, dataset_group, date, missing_values, and total_values for the missing_values field.”
ETL output deduplication check
“After running our ETL pipeline I have a batch of null coverage rows and I need to verify there are no duplicate records, see a quality audit of the data, and understand how missing_values shifted row-to-row. Can you run all three reports on these rows?”
Daily missing-value trend review
“I have daily null coverage snapshots for our data groups — can you run the record quality audit, deduplicate any repeated rows, and show me the adjacent row changes for total_values across these entries so I can spot anomalies?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-03-217?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need three data quality analyses in a single paid call — quality audit, deduplication, and adjacent-row change detection — on null coverage records (missing/total value pairs). It is best suited for offline or batch analytical workflows on already-collected data, not for real-time monitoring or external data enrichment. Prefer this over single-report endpoints when you need all three report types simultaneously to minimize cost and round-trips.
Side effects
- Fewer than 1 row or more than 200 rows supplied — request rejected
- Missing required fields (row_id, dataset_group, date, missing_values, total_values) on any row — validation error
- Date field not matching YYYY-MM-DD pattern — schema validation failure
- Invalid field selector (not 'missing_values' or 'total_values') — enum validation error
- Numeric values outside allowed range (-1,000,000,000,000 to 1,000,000,000,000) — validation failure
- Payment not provided or insufficient — x402 payment required response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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