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Null Coverage Record Quality Audit & Keyed Dataset Comparison
x402
Null Coverage Record Quality Audit & Keyed Dataset Comparison 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).
Audits null/missing value coverage in up to 200 rows of supplied data and compares two datasets by key, producing two independent quality reports locally.
Price / call$0.01
Success—
StatusUnknown
How this service works
Null coverage — Record quality audit + Keyed dataset comparison: Record quality audit + Keyed dataset comparison 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
Returns two independent analytical reports: (1) a record quality audit summarizing null/missing value coverage statistics across the supplied rows, and (2) a keyed dataset comparison report highlighting differences between the primary and secondary datasets by row_id. Both reports are computed locally from supplied data with no external lookups.
Example use cases
ETL pipeline data completeness check
“I just ran an ETL job and I want to audit the null coverage in the output — can you take these up to 200 rows with row_id, dataset_group, date, missing_values, and total_values and give me a record quality report showing where the gaps are?”
Before-and-after dataset quality comparison
“I have two snapshots of the same dataset taken before and after a data cleaning step — both have the same row IDs with missing_values and total_values fields. Can you compare them and tell me how the null coverage changed between the two?”
Multi-group null rate audit
“I need to audit null coverage across my dataset groups — I have rows for group-a and group-b across several dates, each with missing_values and total_values counts. Can you generate a quality report showing which groups have the worst null rates?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-03-018?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a fast, low-cost ($0.01 USDC) dual-report analysis of null/missing value coverage on supplied tabular data — especially when comparing two versions or snapshots of the same dataset by key. Ideal for data pipeline QA, pre-ingestion validation, and ETL auditing where no external data lookup or prediction is needed. Not suitable for large datasets exceeding 200 rows per call, real-time data fetching, or predictive analytics.
Side effects
- More than 200 rows submitted — endpoint rejects input exceeding maxItems limit
- Missing required fields (row_id, dataset_group, date, missing_values, total_values) cause schema validation failure
- Invalid date format (not YYYY-MM-DD) triggers pattern validation error
- null or out-of-range numeric values for missing_values or total_values may cause computation errors
- Empty rows array (minItems:1 not met) returns an error
- Mismatched row_ids between primary and secondary datasets may produce incomplete comparison output
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| other | array |
Tags
x402
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