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Null Coverage Analytics — Record Quality Audit + Grouped Numeric Summary
x402
Null Coverage Analytics — Record Quality Audit + Grouped Numeric Summary 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 up to 200 supplied rows of null-coverage data to produce two local analytical reports: a record quality audit and a grouped numeric summary, segmented by dataset group.
Price / call$0.01
Success—
StatusUnknown
How this service works
Null coverage — Record quality audit + Grouped numeric summary: Record quality audit + Grouped numeric summary 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 analytical reports computed locally from the supplied rows: (1) a record quality audit evaluating each row's null coverage based on missing_values and total_values, and (2) a grouped numeric summary aggregating statistics by dataset_group. No external lookups or predictions are made.
Example use cases
ETL pipeline data completeness check
“We just finished an ETL run and I want to audit our records for null coverage — I have about 80 rows, each tagged with a dataset group and a date, along with their missing_values and total_values counts. Can you give me a record quality audit and a grouped numeric summary on the missing_values field?”
Multi-group dataset quality comparison
“I've got data from three groups — 'sales', 'marketing', and 'ops' — with daily records showing how many values are missing versus total. Can you run a null coverage analysis on the total_values field across all 120 rows and show me both the record quality audit and the group-level numeric summary?”
Monthly data health monitoring report
“At the end of each month I want to review data health across our datasets. Here are 150 rows with row IDs, group labels, dates in YYYY-MM-DD format, and missing_values alongside total_values — please produce the record quality audit and the grouped numeric summary on missing_values so I can see where our data is incomplete.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-03-005?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a fast, offline, two-in-one analysis of null coverage data — specifically a record-level quality audit paired with a grouped numeric summary — on up to 200 rows identified by group and date. It is ideal when you do not need live lookups, predictions, or external enrichment, and want a deterministic local computation at minimal cost.
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) on any row — validation error
- Date field not matching YYYY-MM-DD pattern — schema validation failure
- Numeric values outside allowed range (-1,000,000,000,000 to 1,000,000,000,000) — rejected
- Invalid field enum value (must be 'missing_values' or 'total_values') — schema error
- Payment of 0.01 USDC not completed via x402 protocol — request blocked
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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