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Null Coverage Adjacent Row Changes and Explicit Missing-Value Fill
x402
Null Coverage Adjacent Row Changes and Explicit Missing-Value Fill 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 data by computing adjacent row-to-row changes and filling missing values using zero, mean, or median imputation across up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Null coverage — Adjacent row changes + Explicit missing-value fill: Adjacent row changes + Explicit missing-value fill 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: (1) an adjacent row changes report showing the delta in the selected field between consecutive rows, and (2) an explicit missing-value fill report where nulls in the chosen field are replaced using the specified method (zero, mean, or median). Both reports are computed locally without external lookups, covering up to 200 input rows.
Example use cases
Tracking null rate drift over time
“I have daily null coverage records for two dataset groups over the past month — can you compute the adjacent row changes in missing_values so I can see how my null rate is shifting day by day?”
Imputing missing totals with mean fill
“Some of my total_values entries are null in my coverage dataset — can you fill them in using mean imputation across my 80 rows and also show me the adjacent row differences?”
Zero-fill audit for pipeline QA
“I'm doing a data quality check on a pipeline and need to zero-fill any missing_values nulls in my 30-row null coverage report while also getting a change-over-time breakdown between adjacent rows.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-03-162?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a combined null coverage analysis that simultaneously shows row-to-row changes and fills missing values in a single low-cost call ($0.01 USDC). Ideal for lightweight data quality pipelines where you want offline statistical imputation (zero, mean, or median) alongside temporal delta tracking without hitting external data sources or prediction APIs.
Side effects
- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, date, missing_values, total_values) cause validation errors
- Invalid date format (not YYYY-MM-DD) causes schema rejection
- Numeric values outside allowed range (-1e12 to 1e12) rejected
- Invalid enum value for field or method parameter
- Empty rows array (minItems:1 violated) causes error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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