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Tree Canopy Observations — Numeric Row Ordering + Date by Category Pivot
x402
Tree Canopy Observations — Numeric Row Ordering + 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).
Analyzes user-supplied tree canopy observation records to produce two reports: a numerically ordered row ranking and a date-by-category pivot table for canopy or plot area measurements.
Price / call$0.01
Success—
StatusUnknown
How this service works
Tree canopy observations — Numeric row ordering + Date by category pivot: Numeric row ordering + 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
Two analytical reports on the supplied dataset: (1) a numerically ordered ranking of all input rows by the selected field (canopy_m2 or plot_m2), and (2) a pivot table cross-tabulating the selected field values by date and station_group category. Both reports are computed locally from the supplied data with no external lookups.
Example use cases
Urban forest canopy survey analysis
“I've got a dataset of 150 tree canopy measurements from different city parks, each tagged with a station group and observation date. Can you rank all the rows by canopy_m2 numerically and also give me a pivot table showing canopy_m2 grouped by date and station group?”
Comparing plot coverage across monitoring stations
“I need two reports on my tree plot survey data: first, order all my observation records numerically by plot_m2, and second, pivot the plot_m2 values by date and monitoring station group — I have about 80 rows across 5 station groups.”
Seasonal canopy change summary
“I have canopy observation records from multiple seasonal surveys across different sites — can you produce a numeric row ordering and a date-by-category pivot for the canopy_m2 field so I can see how coverage is trending over time by site?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-weather-17-122?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tree canopy observation records (with canopy_m2 and plot_m2 fields) and need both a numeric row ordering and a date-by-category pivot as two bundled reports in a single call for up to 200 rows. It is a cost-effective offline analytical tool that requires no live data sources, external APIs, or professional assessments — ideal for batch post-processing of survey data.
Side effects
- Input array is empty or missing required fields (row_id, date, canopy_m2, plot_m2) — validation error returned
- More than 200 rows supplied — request rejected due to row limit
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Non-numeric values in canopy_m2 or plot_m2 where null not intended — may affect ordering
- Payment of 0.01 USDC not provided — x402 payment required error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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