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Tree Canopy Observations — Daily Sum Series + Trailing Mean Series
x402
Tree Canopy Observations — Daily Sum Series + 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 2026-10-26).
Computes daily sum series and trailing mean series for tree canopy area (canopy_m2) and plot area (plot_m2) observations across supplied records, grouped by station and date.
Price / call$0.01
Success—
StatusUnknown
How this service works
Tree canopy observations — Daily sum series + Trailing mean series: Daily sum series + Trailing mean 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
Returns two analytical reports for the supplied observation rows: (1) a daily sum series showing total canopy_m2 or plot_m2 aggregated per date per station group, and (2) a trailing mean series computed over the specified rolling window. Up to 200 rows processed per call.
Example use cases
Urban tree canopy coverage trend analysis
“I've collected daily tree canopy measurements in square meters across three monitoring stations for the past six months. Can you compute the daily sum series and a 14-day trailing mean for the canopy_m2 field so I can see coverage trends over time?”
Plot size daily totals for reforestation reporting
“Here are my reforestation plot observations with plot_m2 values recorded daily across two station groups. Please run a daily sum series and a trailing mean with a window of 30 on the plot_m2 field so I can prepare our quarterly report.”
Canopy monitoring QA across station groups
“I want to compare daily canopy totals and a rolling 5-day average for canopy_m2 across my station groups — I have about 150 rows of observation data. Can you produce both the daily sum and trailing mean series for me?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-weather-17-136?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have pre-collected tree canopy or plot area observation records and need both daily aggregation totals and a rolling mean trend computed locally without any external data lookup, live sensor access, or predictive modeling. Ideal for batch post-processing of forestry monitoring data at low cost (two reports for $0.01 USDC).
Side effects
- Input rows array is empty or exceeds 200 items — validation error returned
- Invalid date format (not YYYY-MM-DD) causes row rejection
- Missing required fields (row_id, station_group, date, canopy_m2, plot_m2) triggers schema validation error
- Window parameter below 2 or above 200 causes rejection
- Null values in the selected field may affect aggregation output
- Payment of 0.01 USDC not completed — x402 payment required error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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