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Null Coverage Analytics: Record Quality Audit + Exact Row Deduplication + Numeric Row Ordering
x402
Null Coverage Analytics: Record Quality Audit + Exact Row Deduplication + Numeric Row Ordering is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-17).
Runs three analytical reports (record quality audit, exact row deduplication, and numeric row ordering) on supplied null coverage data (missing_values, total_values) for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Null coverage — Record quality audit + Exact row deduplication + Numeric row ordering: Record quality audit + Exact row deduplication + Numeric row ordering 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 for the supplied rows: (1) a record quality audit assessing data integrity; (2) an exact row deduplication report identifying identical rows; and (3) a numeric row ordering report ranking rows by the selected field (missing_values or total_values). No external lookups or predictions are performed — all analysis is done locally on the supplied data.
Example use cases
Data completeness audit for ETL pipeline
“I have a batch of 50 ETL records with row IDs etl-001 through etl-050, all in dataset group 'pipeline-q4', dated 2026-11-01, and I want to run the quality audit, deduplication, and numeric ordering reports on the missing_values field — can you do that?”
Deduplicating survey response records
“I've got 120 survey response rows across groups 'control' and 'treatment', each with a date and missing_values count, and I need to find exact duplicate rows plus get them ordered numerically by total_values — can you run those three reports?”
Monthly null coverage review across dataset groups
“Please audit my monthly null coverage data for October 2026 — I have 30 rows split between groups 'sales-data' and 'inventory-data' with missing_values and total_values filled in, and I want the full quality audit, dedup check, and row ordering by missing_values.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-03-213?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to simultaneously audit data quality, remove duplicate records, and sort rows numerically on null coverage data (missing_values / total_values) in a single $0.01 call. It is ideal for lightweight, offline analytical processing of up to 200 rows without requiring any external data sources, live lookups, or predictions. Prefer this over general-purpose analytics tools when your data specifically involves null/missing value coverage metrics grouped by dataset.
Side effects
- Fewer than 1 row or more than 200 rows submitted — request rejected
- 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
- Field enum value not one of 'missing_values' or 'total_values' — rejected
- Payment of 0.01 USDC not completed via x402 protocol — unauthorized response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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