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Tree Canopy Daily Sum Series & Two-Measure Correlation
x402
Tree Canopy Daily Sum Series & 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 daily sum time series and Pearson/two-measure correlation between canopy_m2 and plot_m2 for up to 200 supplied tree canopy observation records.
Price / call$0.01
Success—
StatusUnknown
How this service works
Tree canopy observations — Daily sum series + Two-measure correlation: Daily sum series + 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: (1) a daily sum time series aggregating the selected measure (canopy_m2 or plot_m2) by date, and (2) a two-measure correlation report showing the statistical relationship between canopy_m2 and plot_m2 across the supplied rows. Both reports are computed locally from the provided data with no external lookups.
Example use cases
Urban tree canopy coverage trend analysis
“I've got daily canopy survey records from our city parks project — each row has a date, a station group, canopy area in m2 and plot area in m2. Can you compute the daily sum series for canopy_m2 and tell me how strongly canopy size correlates with plot size across all 120 rows?”
Reforestation plot monitoring report
“We're tracking reforestation progress across 80 monitoring plots. I have records with dates and both canopy_m2 and plot_m2 measurements per observation. Please give me the daily summed canopy totals over time and the correlation between canopy coverage and plot size.”
Station-group canopy vs plot size comparison
“I need to analyze whether tree canopy area scales with plot area in our survey data — I have 200 rows from multiple station groups each with a date, canopy_m2, and plot_m2. Run the daily sum aggregation on canopy_m2 and give me the two-measure correlation between canopy_m2 and plot_m2.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-weather-17-141?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have structured tree canopy observation data (canopy_m2, plot_m2) and need both a temporal daily-sum aggregation and a two-variable correlation in a single API call. It is purpose-built for urban forestry and ecological survey workflows with up to 200 rows, and costs only $0.01 USDC for both reports together. Prefer alternatives if you need predictions, live remote-sensing data, or analysis of more than 200 rows.
Side effects
- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, date, canopy_m2, plot_m2, station_group) causes a schema rejection
- Malformed date strings (not YYYY-MM-DD) fail pattern validation
- All-null values for a measure may produce undefined correlation
- Insufficient data points (e.g. single row) may yield trivial or undefined correlation
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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