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Tree Canopy Observations — Two-Measure Correlation + Keyed Dataset Comparison
x402
Tree Canopy Observations — Two-Measure Correlation + Keyed Dataset Comparison 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 Pearson correlation between canopy_m2 and plot_m2 measurements and performs a row-keyed comparison between two supplied tree canopy datasets, returning two analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Tree canopy observations — Two-measure correlation + Keyed dataset comparison: Two-measure correlation + Keyed dataset comparison 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 Pearson correlation report between canopy_m2 and plot_m2 for the primary dataset rows, and (2) a keyed comparison report matching rows from the primary and secondary datasets by row_id, highlighting agreements and discrepancies in canopy_m2 and plot_m2 values. Covers up to 200 rows. No external data is fetched; all analysis is performed on supplied data.
Example use cases
Urban canopy coverage correlation analysis
“I've got 150 urban tree plot observations with canopy_m2 and plot_m2 values recorded by station group and date — can you run the correlation between canopy size and plot size and tell me how strongly they're related?”
Before/after canopy survey comparison
“I have two rounds of tree canopy field measurements taken at the same plots — one from spring and one from summer — can you compare them row by row using the shared row IDs and also correlate canopy area against plot area in the primary batch?”
Multi-site canopy dataset quality check
“We collected canopy observation data from two different field teams covering the same station groups and dates — can you cross-check the two datasets by row key and also compute the correlation between canopy_m2 and plot_m2 in our main dataset to validate consistency?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-weather-17-183?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have two structured tree canopy observation datasets and need both a statistical correlation between canopy area and plot area AND a row-keyed cross-dataset comparison in a single call. It is purpose-built for forestry and environmental survey data with the specific canopy_m2 and plot_m2 schema. Prefer this over generic stats APIs when your data already conforms to the tree canopy observation schema and you need both reports bundled for $0.01 USDC without any external lookup or prediction.
Side effects
- Fewer than 1 row submitted returns a validation error
- More than 200 rows in either array exceeds the limit and is rejected
- Missing required fields (row_id, date, canopy_m2, plot_m2, station_group) cause row-level validation failure
- Malformed date strings not matching YYYY-MM-DD pattern are rejected
- All-null numeric columns may produce undefined or NaN correlation result
- Mismatched row_id keys between primary and secondary datasets result in unmatched rows flagged in comparison report
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| other | array |
Tags
x402
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