Syndication Observations — Numeric Interval Filter + 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 2026-10-26).
Filters syndication observation rows to a numeric interval and fills missing values in republished_items or source_items using zero, mean, or median imputation, producing two analytical reports for up to 200 rows.
Syndication observations — Numeric interval filter + Explicit missing-value fill: Numeric interval filter + Explicit missing-value fill for supplied syndication observations records (republished_items, source_items). 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.
Returns two independent analytical reports on the supplied syndication observation rows after applying the specified numeric interval filter (min/max) to the chosen field and filling any null/missing values using the selected method (zero, mean, or median). Reports are computed locally with no external lookups.
POSThttps://market.datapackvibe.com/x402/assistant-ib26-news-20-135?utm_source=zero.xyzChoose this endpoint when you need to clean a dataset of syndication observations (republished_items and source_items) by both filtering rows to a defined numeric interval and imputing missing values in a single pass, receiving two analytical reports for up to 200 rows at low cost. It is purpose-built for syndication/content republishing data schemas and is ideal when you need repeatable, deterministic local analysis with no external data lookups or predictions.
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string | |
| maximum | number | |
| minimum | number |
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