Tree Canopy Observations — Equal-Width Histogram + Date by Category Pivot is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-25).
Generates an equal-width histogram and a date-by-category pivot table for tree canopy observation records (canopy_m2, plot_m2) — two analytical reports from supplied data, no external lookups.
Tree canopy observations — Equal-width histogram + Date by category pivot: Equal-width histogram + Date by category pivot for supplied tree canopy observations records (canopy_m2, plot_m2). 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 analytical reports derived from the supplied tree canopy observation rows: (1) an equal-width histogram showing frequency distribution of the chosen field (canopy_m2 or plot_m2) across the specified number of bins, and (2) a date-by-category pivot table cross-tabulating measurements by date and station_group. Both reports are computed locally from the provided data with no external data sources.
POSThttps://market.datapackvibe.com/x402/assistant-ib26-weather-17-173?utm_source=zero.xyzChoose this endpoint when you have up to 200 tree canopy or plot observation records and need both a histogram distribution and a date-by-category pivot in a single low-cost call ($0.01 USDC). It is ideal for ecological, forestry, or urban greenery datasets where canopy_m2 and plot_m2 are the primary numeric fields and you need fast offline analytics without any live data lookup or external enrichment.
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array | |
| field | string |
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