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Tree Canopy Observations — Numeric Distribution + Adjacent Row Changes
x402
Tree Canopy Observations — Numeric Distribution + Adjacent Row Changes is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-24).
Computes numeric distribution statistics and adjacent row change analysis for tree canopy observation records (canopy_m2, plot_m2) across up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Tree canopy observations — Numeric distribution + Adjacent row changes: Numeric distribution + Adjacent row changes 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 numeric distribution report showing statistics such as min, max, mean, median, percentiles, and spread for the selected field (canopy_m2 or plot_m2); and (2) an adjacent row changes report showing sequential differences between consecutive rows for the selected field, enabling detection of sudden shifts or trends in canopy or plot measurements.
Example use cases
Urban tree canopy monitoring audit
“I've collected 120 canopy measurements from plots across our city monitoring stations — can you give me a numeric distribution and row-by-row change report on the canopy_m2 field so I can see how coverage varies and where big jumps occur?”
Seasonal canopy survey comparison
“Here are 80 tree canopy records from our spring survey across three station groups, dated from April through June — run a numeric distribution and adjacent row changes analysis on the plot_m2 values so we can spot any anomalies.”
Reforestation plot progress tracking
“We have 150 sequential observations from our reforestation plots with canopy_m2 and plot_m2 logged — please compute the numeric distribution stats and flag any significant adjacent row changes in canopy_m2 so we can track growth consistency.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-weather-17-077?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have structured tree canopy observation records (up to 200 rows) and need both a statistical distribution summary and a sequential row-change analysis on canopy_m2 or plot_m2 in a single low-cost call. It is a self-contained local analytical engine with no external lookups, making it fast, deterministic, and privacy-safe for batch field survey data.
Side effects
- More than 200 rows submitted — endpoint rejects or truncates beyond limit
- Missing required fields (row_id, date, canopy_m2, plot_m2, station_group) cause validation error
- Malformed date strings not matching YYYY-MM-DD pattern rejected
- All-null values in the selected field may produce empty or degenerate statistics
- Payment of 0.01 USDC not provided or declined — request fails with 402
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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