Join Coverage Analytics — Numeric Interval Filter + 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 2026-10-24).
Filters join coverage records (matched_rows, source_rows) to a numeric interval and fills missing values, returning two analytical reports for up to 200 rows.
Join coverage — Numeric interval filter + Explicit missing-value fill: Numeric interval filter + Explicit missing-value fill for supplied join coverage records (matched_rows, source_rows). 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.
Two independent analytical reports on the submitted join coverage records, after applying the specified numeric interval filter to the chosen field (matched_rows or source_rows) and filling any missing values using the selected method (zero, mean, or median). Reports are generated locally from the supplied data with no external lookups.
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-09-135?utm_source=zero.xyzChoose this endpoint when you need to both clean join coverage data (fill nulls, apply numeric bounds) and receive two analytical reports in a single call, at low cost ($0.01 USDC). Ideal for data engineering pipelines auditing join quality across dataset groups, especially when you need imputation and interval filtering combined. Not suitable for live data lookups, predictions, or datasets larger than 200 rows.
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string | |
| maximum | number | |
| minimum | number |
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