Building Footprint Observations — Numeric Row Ordering + 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 2026-10-30).
Sorts building footprint observation rows numerically and fills missing values in footprint_m2 or height_m fields using zero, mean, or median imputation, returning 2 analytical reports for up to 200 rows.
Building footprint observations — Numeric row ordering + Explicit missing-value fill: Numeric row ordering + Explicit missing-value fill for supplied building footprint observations records (footprint_m2, height_m). 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 analytical reports covering the submitted building footprint observation records, with rows sorted in numeric order and missing values in the selected field (footprint_m2 or height_m) filled using the chosen method (zero, mean, or median). No external data is fetched; all processing uses local analytical engines on the supplied rows.
POSThttps://market.datapackvibe.com/x402/assistant-ib26-weather-16-124?utm_source=zero.xyzChoose this endpoint when you have building footprint observation data (up to 200 rows) with missing footprint_m2 or height_m values that need systematic imputation (zero, mean, or median) combined with numeric row ordering, and you need two packaged analytical reports from a single low-cost call. Prefer this over general-purpose data tools when working specifically with building footprint and height measurements in a structured row format.
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
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