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Tree Canopy Observations — Adjacent Row Changes + Two-Measure Correlation
x402
Tree Canopy Observations — Adjacent Row Changes + 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 2026-10-25).
Computes adjacent-row delta changes and Pearson/rank correlation between canopy_m2 and plot_m2 for up to 200 tree canopy observation records, returning two analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Tree canopy observations — Adjacent row changes + Two-measure correlation: Adjacent row changes + 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) an adjacent-row change series showing the delta between consecutive canopy_m2 (or plot_m2) values per row, and (2) a two-measure correlation report quantifying the statistical relationship between canopy_m2 and plot_m2 across all supplied rows. Both reports are computed locally from supplied data with no external lookups.
Example use cases
Urban tree canopy monitoring audit
“I have 120 rows of urban tree canopy survey data with canopy_m2 and plot_m2 measurements per date and station group — run the adjacent row changes and two-measure correlation report on canopy_m2 so I can see how canopy cover is shifting sequentially and whether it tracks plot size.”
Ecological field study correlation check
“We collected plot-level canopy data across 80 forest plots with canopy_m2 and plot_m2 recorded per date — can you compute the adjacent row deltas and correlation between canopy_m2 and plot_m2 for me?”
Reforestation progress sequential analysis
“Here are 200 rows of reforestation monitoring records with canopy area and plot area per station group and date — I need both the row-over-row change series on canopy_m2 and the two-measure correlation report to track growth trends.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-weather-17-158?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tabular tree canopy observation data (canopy_m2, plot_m2) and need both sequential delta analysis and a bivariate correlation report in a single call for up to 200 rows. It is purpose-built for forestry/ecology datasets and bundles two reports at minimal cost, making it preferable over generic statistics APIs when your data already conforms to the station_group + date row schema.
Side effects
- Input array exceeds 200 rows — request will be rejected or truncated
- Missing required fields (row_id, date, canopy_m2, plot_m2) cause validation errors
- Invalid date format (not YYYY-MM-DD) causes schema rejection
- Null values in both canopy_m2 and plot_m2 may produce undefined correlation
- Single-row input cannot generate adjacent row changes — at least 2 rows required
- Payment of 0.01 USDC not included or rejected causes 402 response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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