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Tree Canopy Observations — Numeric Interval Filter + Equal-Width Histogram
x402
Tree Canopy Observations — Numeric Interval Filter + Equal-Width Histogram 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).
Applies a numeric interval filter and generates an equal-width histogram for up to 200 tree canopy observation records (canopy_m2, plot_m2) in a single call.
Price / call$0.01
Success—
StatusUnknown
How this service works
Tree canopy observations — Numeric interval filter + Equal-width histogram: Numeric interval filter + Equal-width histogram 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 interval filter report listing which of the submitted records fall within the specified minimum–maximum range for the chosen field, and (2) an equal-width histogram report showing bin edges and record counts across the specified number of bins — all computed locally from the submitted data without any external lookup.
Example use cases
Urban forest canopy distribution analysis
“I've collected 80 tree canopy survey records across several station groups and want to understand the distribution of canopy_m2 values — can you filter to canopy areas between 50 and 2000 square meters and show me a histogram with 8 equal-width bins?”
Plot size outlier screening for field surveys
“Here are 120 plot observation rows from our field survey — please filter plot_m2 values between 100 and 5000 and generate a 5-bin equal-width histogram so I can spot any unusual clustering in plot sizes.”
Station group canopy data quality review
“I have canopy observation data from multiple station groups and want a quick statistical view — filter canopy_m2 values between 0 and 1000 and produce a 10-bin histogram so I can see how coverage is distributed across the dataset.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-weather-17-129?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 tree canopy or plot observation records and need both a range-based filter and a histogram distribution summary in a single low-cost call ($0.01 USDC). It is ideal for offline/local analytical work on supplied data — no live data fetching, external enrichment, or prediction is performed. Prefer it over general-purpose analytics tools when working specifically with canopy_m2/plot_m2 schema records and needing two bundled reports at once.
Side effects
- Submitting more than 200 rows returns a validation error
- Missing required row fields (row_id, date, canopy_m2, plot_m2) causes schema rejection
- Requesting more than 30 bins or fewer than 1 bin is rejected
- Invalid date format (not YYYY-MM-DD) causes validation failure
- Minimum value greater than maximum value may produce empty filter results
- Null numeric values in the target field are handled but may reduce histogram accuracy
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array | |
| field | string | |
| maximum | number | |
| minimum | number |
Tags
x402
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