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Tree Canopy Observations — Grouped Numeric Summary + Two-Measure Correlation
x402
Tree Canopy Observations — Grouped Numeric Summary + Two-Measure Correlation 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).
Computes a grouped numeric summary and a two-measure correlation (canopy_m2 vs plot_m2) from user-supplied tree canopy observation records using local analytical engines.
Price / call$0.01
Success—
StatusUnknown
How this service works
Tree canopy observations — Grouped numeric summary + Two-measure correlation: Grouped numeric summary + Two-measure correlation 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.
Output
Returns two analytical reports computed locally from the supplied rows: (1) a grouped numeric summary of the selected field (e.g. canopy_m2) broken down by station_group, including statistics such as mean, min, max, count, and standard deviation; and (2) a two-measure correlation report quantifying the statistical relationship between canopy_m2 and plot_m2 across all supplied records. No external data is fetched; analysis is performed on the provided dataset only.
Example use cases
Urban forest coverage audit
“I have canopy measurement records from 4 monitoring stations across the city — each row has a plot ID, a station group name, a date, and both canopy_m2 and plot_m2 values. Can you group them by station and give me a numeric summary, plus tell me how strongly canopy area correlates with plot area?”
Comparing canopy density across neighborhoods
“We collected tree canopy survey data across three neighborhood groups last October. I want a grouped numeric summary to compare average canopy sizes, and also see the correlation between canopy_m2 and plot_m2 across all the records — here are the 80 rows.”
Ecology research — plot-level canopy statistics
“For our ecology study, I need descriptive stats grouped by station for these canopy observation records, plus a correlation between canopy coverage and plot size. There are about 120 rows, each with a date, station group, canopy_m2, and plot_m2 — can you run both reports?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-weather-17-095?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tree canopy observation records (with canopy_m2 and plot_m2 measurements) and need both a grouped descriptive summary by station and a correlation between the two numeric measures in a single paid call. It is ideal for environmental monitoring, urban forestry audits, or ecology research workflows where you supply your own data (up to 200 rows) and want local statistical computation without any external lookup or prediction.
Side effects
- Fewer than 1 row supplied — request rejected
- More than 200 rows supplied — exceeds limit, request rejected
- Missing required fields (row_id, station_group, date, canopy_m2, plot_m2) — validation error
- Malformed date format (must be YYYY-MM-DD) — schema validation failure
- All values null for correlation field — correlation computation returns undefined or NaN
- Invalid field enum value — schema rejection
- Payment not provided or insufficient USDC — 402 payment required
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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