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Tree Canopy Observations — Adjacent Row Changes & Keyed Dataset Comparison
x402
Tree Canopy Observations — Adjacent Row Changes & 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 2026-10-28).
Analyzes up to 200 tree canopy observation records to produce two reports: sequential row-to-row change detection and a keyed comparison between two supplied datasets
Price / call$0.01
Success—
StatusUnknown
How this service works
Tree canopy observations — Adjacent row changes + Keyed dataset comparison: Adjacent row changes + 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 computed locally: (1) an adjacent row change report showing sequential deltas between consecutive rows for the selected field (canopy_m2 or plot_m2), and (2) a keyed dataset comparison report matching rows by key between the primary and secondary dataset and reporting differences. No external lookups or predictions are included.
Example use cases
Seasonal canopy coverage change audit
“I collected canopy observations across our monitoring plots for October — here are 80 rows with row_id, station_group, date, canopy_m2, and plot_m2. Can you run the adjacent row change report on canopy_m2 to see how coverage shifted between consecutive measurement dates?”
Before vs after reforestation comparison
“We have two canopy survey datasets — one from before our reforestation project and one after — each with matching row IDs, station groups, dates, canopy_m2, and plot_m2. Run a keyed dataset comparison on canopy_m2 so I can see which plots changed the most.”
Multi-station canopy monitoring diff
“Here are 150 tree canopy records from two different monitoring periods across our station groups, with canopy_m2 and plot_m2 values. I need both the row-by-row change report and a keyed comparison between the two periods — analyze the plot_m2 field this time.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-weather-17-161?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tree canopy observation data (canopy_m2, plot_m2) and need both a sequential row-change audit and a cross-dataset keyed comparison in a single low-cost call. Ideal for environmental monitoring workflows comparing survey periods, auditing data pipelines, or detecting anomalies in canopy coverage records without needing any live data lookups or external predictions.
Side effects
- Exceeding 200 rows results in rejection
- Missing required fields (row_id, station_group, date, canopy_m2, plot_m2) causes validation error
- Invalid date format (not YYYY-MM-DD) causes schema rejection
- Mismatched row keys between primary and secondary dataset may result in unmatched rows in comparison report
- Null numeric values are accepted but may produce null deltas in reports
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| other | array |
Tags
x402
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