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Tree Canopy Observations — Equal-Width Histogram + Secondary-Measure Weighted Mean
x402
Tree Canopy Observations — Equal-Width Histogram + Secondary-Measure Weighted Mean 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 an equal-width histogram and a secondary-measure weighted mean for up to 200 tree canopy observation records using local analytical engines.
Price / call$0.01
Success—
StatusUnknown
How this service works
Tree canopy observations — Equal-width histogram + Secondary-measure weighted mean: Equal-width histogram + Secondary-measure weighted mean 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) an equal-width histogram showing bin boundaries and counts for the selected field (canopy_m2 or plot_m2) across up to 200 rows, and (2) a secondary-measure weighted mean computed using the complementary field as weights — all derived locally from the supplied data with no external lookups.
Example use cases
Urban tree canopy distribution analysis
“I have 150 urban tree survey records with canopy_m2 and plot_m2 measurements. Can you compute a 10-bin equal-width histogram of the canopy_m2 values and give me the plot-size-weighted mean canopy area?”
Comparing canopy coverage across station groups
“Run a histogram with 5 bins on my canopy observation data — about 80 rows tagged with station groups — and calculate the weighted mean canopy_m2 weighted by plot_m2 so I can compare coverage across sites.”
Forestry plot survey summary report
“I've got 200 rows of forestry plot data with canopy_m2 and plot_m2 columns. Generate an equal-width histogram using 6 bins for the canopy_m2 field and include the secondary weighted mean report as well.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-weather-17-172?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a frequency distribution (histogram) and a weighted mean for tree canopy or plot area data in a single API call, especially when working with small-to-medium datasets (up to 200 rows) offline without needing live data lookup or external enrichment. It is cost-effective at $0.01 USDC for two reports simultaneously.
Side effects
- More than 200 rows submitted — request will be rejected or truncated
- Missing required fields (row_id, canopy_m2, plot_m2, date) cause validation errors
- Invalid date format (non-YYYY-MM-DD strings) fail schema validation
- Bins parameter outside 1–30 range causes rejection
- All null values in the target field result in empty or undefined histogram output
- Payment of 0.01 USDC not included causes 402 Payment Required response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array | |
| field | string |
Tags
x402
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