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Tree Canopy Observations — Grouped Numeric Summary + Daily Sum Series
x402
Tree Canopy Observations — Grouped Numeric Summary + Daily Sum Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-26).
Analyzes up to 200 tree canopy observation records, returning a grouped numeric summary and a daily sum time series for canopy_m2 or plot_m2 fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Tree canopy observations — Grouped numeric summary + Daily sum series: Grouped numeric summary + Daily sum series 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
Two analytical reports: (1) a grouped numeric summary aggregating canopy_m2 or plot_m2 statistics (e.g. count, mean, min, max, sum) broken down by station_group, and (2) a daily sum time series showing the total of the selected field per date across all records. Both reports are computed locally from the supplied rows with no external data lookups.
Example use cases
Urban tree coverage audit by district
“I've got canopy observation records for four city districts collected daily over October — rows include row_id, station_group, date, canopy_m2, and plot_m2. Can you give me a grouped numeric summary and daily sum series for canopy_m2 so I can compare coverage across districts?”
Plot area trend analysis over time
“Here are 150 tree survey rows with station_group, date, and plot_m2 measurements. I need a daily sum series and grouped numeric summary for plot_m2 to see how total plot area changes day by day across groups.”
Canopy measurement QA for field stations
“Our field stations submitted canopy_m2 and plot_m2 readings for several groups over the past month. Can you run a grouped numeric summary and daily sum series on these 80 observation records using canopy_m2 so we can validate consistency across stations?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-weather-17-089?utm_source=zero.xyzWhen to prefer
Use this endpoint when you have raw tree canopy observation records (with canopy_m2 and plot_m2 measurements per station group and date) and need both a group-level statistical summary and a date-level daily sum series in a single call at minimal cost. Prefer this over generic analytics tools when working within the x402 micropayment ecosystem and when batch size is under 200 rows. Choose the sibling 'Exact row deduplication + Grouped numeric summary' endpoint instead if deduplication is your primary concern rather than time series output.
Side effects
- Input array is empty or missing required fields (row_id, station_group, date, canopy_m2, plot_m2) — validation error returned
- More than 200 rows submitted — request rejected with max-items error
- Date values not matching YYYY-MM-DD format — pattern validation failure
- Non-numeric values in canopy_m2 or plot_m2 where number expected — type error
- Invalid field selector (not 'canopy_m2' or 'plot_m2') — enum validation error
- Payment not attached or insufficient — x402 payment required response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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