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Tree Canopy Observations — Record Quality Audit + Base-100 Series
x402
Tree Canopy Observations — Record Quality Audit + Base-100 Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-31).
Runs a record quality audit and Base-100 index series on up to 200 rows of tree canopy observation data (canopy_m2, plot_m2), returning two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Tree canopy observations — Record quality audit + Base-100 series: Record quality audit + Base-100 series 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 independent analytical reports: (1) a record quality audit flagging issues such as nulls, out-of-range values, or anomalous records in the supplied canopy observation rows; and (2) a Base-100 index series for the chosen field (canopy_m2 or plot_m2) relative to the specified base row index.
Example use cases
Urban forestry data quality check
“I've collected tree canopy and plot area measurements from 150 urban monitoring stations — can you run a record quality audit on all these rows and flag any data issues before I submit them to the city?”
Baseline-indexed canopy coverage trend
“Take my 80 rows of canopy_m2 observations from the Riverside station group and compute a Base-100 index series using row index 0 as the baseline so I can see how coverage has changed over time.”
Plot area anomaly detection for field audit
“I need to audit my plot_m2 records from three different station groups — can you check them for quality issues and generate the Base-100 series for plot_m2 starting from base index 5?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-weather-17-012?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tree canopy observation records (canopy_m2, plot_m2 fields) and need both a data quality audit and a Base-100 index series in a single low-cost call. Prefer it over generic data quality tools when your domain is specifically tree canopy or ecological plot measurements and you want two complementary reports (quality + indexing) from shared local analytical engines without any external lookup or live data enrichment.
Side effects
- Exceeding 200 rows returns an error — input must be capped at maxItems
- Missing required fields (row_id, date, canopy_m2, plot_m2, station_group) cause validation failure
- Invalid date format (not YYYY-MM-DD) causes schema rejection
- base_index out of range (0–199) relative to actual row count causes an error
- Null or extreme numeric values may be flagged but not necessarily rejected
- Payment failure (insufficient USDC) results in 402 response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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