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Null Coverage Record Quality Audit + Category Frequencies
x402
Null Coverage Record Quality Audit + Category Frequencies 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).
Analyzes supplied null coverage records (missing_values, total_values) to produce two local analytical reports: a record quality audit and category frequency breakdown by dataset group.
Price / call$0.01
Success—
StatusUnknown
How this service works
Null coverage — Record quality audit + Category frequencies: Record quality audit + Category frequencies for supplied null coverage records (missing_values, total_values). Up to 200 rows; 2 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 2 supplied-data reports for up to 200 rows.
Output
Two analytical reports computed locally from the supplied rows: (1) a record quality audit summarizing null coverage per record (e.g. completeness rates, missing value ratios), and (2) category frequencies showing how records and missing values are distributed across dataset_group values. No external lookups or predictions are made; all analysis is performed on the submitted data.
Example use cases
Data pipeline null coverage audit
“I have a batch of 120 records from my ETL pipeline with row IDs, dataset groups like 'sales' and 'inventory', dates, and counts of missing vs total values — can you run a record quality audit and category frequency report so I can see where the nulls are concentrated?”
Multi-group completeness comparison
“I'm comparing data completeness across three dataset groups — 'group-a', 'group-b', and 'group-c' — for about 80 rows from October 2026. Can you give me both a quality audit and a category frequency breakdown based on the missing_values and total_values I'll send?”
Weekly data quality review report
“Every week I want to review the quality of our ingested records. Here are 40 rows with their dataset groups, dates, and missing vs total value counts — please produce the record quality audit and category frequencies summary for this week's data.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-03-006?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a fast, low-cost (0.01 USDC) dual-report analysis of null coverage data for up to 200 rows, specifically combining a record-level quality audit with group-level category frequency counts. It is ideal for offline or self-contained data quality checks where no live data lookup, external enrichment, or prediction is needed — all computation is local. Prefer alternatives if you need real-time data fetching, ML-based anomaly detection, or more than 200 rows.
Side effects
- Rows array is empty or exceeds 200 items — rejected with validation error
- missing_values or total_values outside the allowed numeric range — rejected
- date fields not matching YYYY-MM-DD pattern — rejected
- row_id missing or exceeding 80 characters — rejected
- Malformed JSON input — rejected with parse error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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