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Tree Canopy Observations — Two-Measure Correlation + Date by Category Pivot
x402
Tree Canopy Observations — Two-Measure Correlation + 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 2026-10-26).
Runs two analytical reports on supplied tree canopy observation data: a correlation analysis between canopy_m2 and plot_m2 measures, and a date-by-station-group pivot table.
Price / call$0.01
Success—
StatusUnknown
How this service works
Tree canopy observations — Two-measure correlation + Date by category pivot: Two-measure correlation + 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.
Output
Returns two independent analytical reports: (1) a two-measure correlation result between canopy_m2 and plot_m2 (including correlation coefficient and supporting statistics), and (2) a date-by-station-group pivot table summarizing the selected field (canopy_m2 or plot_m2) across all supplied rows. Both reports are computed locally using shared analytical engines on the provided data, with no external lookups.
Example use cases
Urban forest canopy coverage analysis
“I've got field survey data for 150 urban tree plots — each row has a row_id, a station group like 'north-zone' or 'south-zone', a date, and both a canopy_m2 and plot_m2 reading. Can you compute the correlation between canopy size and plot size, and also pivot the canopy_m2 values by date and station group?”
Reforestation monitoring report
“We're monitoring reforestation progress across three site groups over the past quarter. I have 180 observation records with canopy_m2 and plot_m2 per site per date — please give me the two-measure correlation between those fields and a date-by-site-group breakdown of the canopy_m2 readings.”
Ecological research data QA
“Before I submit my canopy survey dataset to our research team, I want to quickly check whether canopy_m2 and plot_m2 are correlated across my 95 observations, and see a pivot of canopy_m2 organized by observation date and station group. Can you run both reports?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-weather-17-182?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a pairwise correlation between canopy_m2 and plot_m2 AND a date-by-category pivot from the same batch of up to 200 tree canopy observation records in a single low-cost call ($0.01 USDC). It is ideal for environmental monitoring, urban forestry, or ecological research workflows where you supply your own data and want offline statistical summaries without any live data lookup or external prediction.
Side effects
- Exceeds 200-row limit — request rejected with validation error
- Missing required fields (row_id, date, canopy_m2, plot_m2, station_group) in any row causes schema validation failure
- Malformed date strings not matching YYYY-MM-DD pattern rejected
- Null values in both numeric fields for all rows may produce degenerate correlation result
- Payment of 0.01 USDC not completed results in 402 Payment Required response
- Empty rows array (minItems:1 violated) causes validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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