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Null Coverage Analytics: Numeric Interval Filter + Adjacent Row Changes
x402
Null Coverage Analytics: Numeric Interval Filter + Adjacent Row Changes is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-18).
Analyzes null coverage records by applying a numeric interval filter and detecting adjacent row changes across up to 200 supplied rows, returning two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Null coverage — Numeric interval filter + Adjacent row changes: Numeric interval filter + Adjacent row changes 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 on the supplied null coverage data: (1) rows where the selected field (missing_values or total_values) falls within the specified numeric interval [minimum, maximum], and (2) a report of adjacent row changes in that field across sequential records — all computed locally without any external lookups.
Example use cases
Data quality audit interval check
“I've got a CSV of null coverage records with missing_values and total_values columns — can you filter to just the rows where missing_values is between 0 and 25, and also show me where adjacent rows changed? I have about 80 rows across two dataset groups.”
Detecting sudden null spikes in pipeline
“Can you look at my pipeline's null coverage log and flag any consecutive rows where total_values jumped or dropped, and also filter to rows where total_values is between 100 and 500? I'm passing in around 120 rows with dates and group labels.”
Missing value threshold monitoring
“Run a quick analysis on my dataset's null coverage: filter missing_values between 10 and 200, and tell me where adjacent row values changed significantly — I have 40 rows from group-a and group-b across October 2025.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-03-127?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 pre-collected null coverage records and need lightweight, offline analytics — specifically a numeric interval filter combined with adjacent row change detection — without needing live data fetching, predictions, or external integrations. Ideal for data quality pipelines, ETL monitoring, or profiling dataset completeness over time.
Side effects
- Missing required fields (row_id, date, missing_values, total_values) causes validation error
- Supplying more than 200 rows exceeds the row limit
- Date values not matching YYYY-MM-DD pattern are rejected
- Numeric values outside ±1,000,000,000,000 bounds are invalid
- Empty rows array returns error
- minimum greater than maximum produces empty interval filter results
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| maximum | number | |
| minimum | number |
Tags
x402
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