Building Footprint Observations — Category Frequencies + Trailing Mean Series

API ↗

Building Footprint Observations — Category Frequencies + Trailing Mean Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-11-02).

Computes category frequency distributions and trailing mean series for building footprint (m²) and height (m) observation records, returning two analytical reports for up to 200 rows.

How this service works

Building footprint observations — Category frequencies + Trailing mean series: Category frequencies + Trailing mean series 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.

Output

Returns two analytical reports for the supplied building footprint observation records: (1) a category frequency distribution showing how often each category of values appears across the chosen field, and (2) a trailing mean series computed over the specified window size for the selected field (footprint_m2 or height_m). Both reports use the supplied data only — no external data is fetched or predicted.