Tree Canopy Observations — Record Quality Audit & Numeric Row Ordering is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-25).
Audits record quality and applies numeric row ordering to supplied tree canopy observation data (canopy_m2, plot_m2) for up to 200 rows, returning two independent analytical reports.
Tree canopy observations — Record quality audit + Numeric row ordering: Record quality audit + Numeric row ordering 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.
Returns two independent analytical reports for the supplied rows: (1) a record quality audit identifying data issues, missing values, or anomalies in the canopy_m2 and plot_m2 fields, and (2) a numeric row ordering report ranking the rows by the selected field (canopy_m2 or plot_m2). All analysis is performed locally on the submitted data with no external lookups.
POSThttps://market.datapackvibe.com/x402/assistant-ib26-weather-17-007?utm_source=zero.xyzChoose this endpoint when you have up to 200 tree canopy observation records (with canopy_m2 and plot_m2 fields) and need both a quality audit and a numeric ordering report in a single low-cost call. Ideal for ecological field data pre-processing, QA pipelines, or before ingesting survey data into downstream systems. Not suitable for live remote sensing data retrieval, geospatial lookup, predictive modelling, or datasets larger than 200 rows.
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
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