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Null Coverage Dual Analytics: Adjacent Row Changes + Keyed Dataset Comparison
x402
Null Coverage Dual Analytics: Adjacent Row Changes + 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).
Runs two independent analytical reports on null coverage data — adjacent row change detection and keyed dataset comparison — for up to 200 rows of missing/total value records.
Price / call$0.01
Success—
StatusUnknown
How this service works
Null coverage — Adjacent row changes + Keyed dataset comparison: Adjacent row changes + 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
Two independent analytical reports: (1) an adjacent row changes report showing how the selected field (missing_values or total_values) shifts between consecutive rows, and (2) a keyed dataset comparison report matching rows from the primary and secondary datasets by row_id and highlighting differences in the selected field. Both reports are computed locally from the supplied data with no external lookups.
Example use cases
Daily null coverage drift detection
“I have two days of null coverage records from my data pipeline — yesterday and today — each row has a row_id, dataset_group, date, missing_values, and total_values. Can you run the adjacent row changes report on the missing_values field to show me how null counts shifted day over day across these rows?”
Baseline vs current dataset quality audit
“I want to compare my baseline dataset snapshot against the latest one to find which rows have different missing_values counts. Both datasets share the same row_ids. Can you run the keyed dataset comparison report using missing_values as the target field?”
Multi-group null coverage comparison
“I have null coverage records split across two dataset groups — group-a and group-b — and I want to see both adjacent row changes and a keyed comparison between the two groups using the total_values field. Each record has a row_id, date, missing_values, and total_values. Can you run both reports at once?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-03-161?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need two simultaneous analytical views on null coverage data — sequential row-level change detection AND cross-dataset keyed comparison — in a single paid call. It is ideal for data quality monitoring workflows where you want to audit missing value trends over time and compare a baseline snapshot against a current one. It is not suitable for live data lookups, predictions, or analyses requiring more than 200 rows per call.
Side effects
- Missing required fields (row_id, dataset_group, date, missing_values, total_values) causes validation error
- Submitting more than 200 rows exceeds the maxItems limit
- Invalid date format (not YYYY-MM-DD) triggers pattern validation failure
- Providing null for both missing_values and total_values on the same row may produce incomplete results
- Empty rows array (minItems: 1 violated) returns an error
- Invalid field enum value (anything other than missing_values or total_values) fails schema validation
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| other | array |
Tags
x402
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