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Tree Canopy Observations — Trailing Mean Series + Keyed Dataset Comparison
x402
Tree Canopy Observations — Trailing Mean Series + 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 a trailing mean time series and performs a keyed dataset comparison on supplied tree canopy observation records (canopy_m2, plot_m2) for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Tree canopy observations — Trailing mean series + Keyed dataset comparison: Trailing mean series + 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 trailing mean time series showing smoothed values for the selected field (canopy_m2 or plot_m2) across the supplied rows, and (2) a keyed dataset comparison identifying row-level differences between the primary and secondary datasets matched by row_id. Both reports are computed locally with no external lookups.
Example use cases
Urban forest canopy trend smoothing
“I have 150 weekly tree canopy measurements from our city's monitoring plots, each with a row_id, station_group, date, canopy_m2, and plot_m2. Can you compute a trailing mean series for canopy_m2 so I can see smoothed trends over time?”
Before-and-after canopy survey comparison
“We ran two rounds of canopy surveys — a baseline and a follow-up — both with matching row IDs, station groups, dates, canopy_m2, and plot_m2. Can you do a keyed dataset comparison between them on the canopy_m2 field so I can see where values changed?”
Multi-station canopy coverage analysis
“I've got observation records from three station groups across 80 plots, each with date, row_id, canopy_m2, and plot_m2. Please run both the trailing mean series and the keyed comparison against a second dataset using canopy_m2 as the target field.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-weather-17-153?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have pre-collected tree canopy or plot area observations in tabular form and need two complementary analytical views — a smoothed trailing mean series and a row-keyed diff between two datasets — in a single low-cost API call. Ideal for environmental monitoring workflows, urban forestry audits, or land-use assessments where you supply your own data and need fast local computation without external data enrichment or prediction.
Side effects
- Exceeds 200-row limit — request rejected or truncated
- Missing required fields (row_id, station_group, date, canopy_m2, plot_m2) — validation error
- Date strings not matching YYYY-MM-DD pattern — schema rejection
- Mismatched row keys between primary and comparison datasets — comparison gaps or nulls
- Null numeric values for selected field — trailing mean may produce partial results
- Invalid field enum value (not canopy_m2 or plot_m2) — schema error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| other | array | |
| window | integer |
Tags
x402
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