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Tree Canopy Observations — Numeric Interval Filter + Base-100 Series
x402
Tree Canopy Observations — Numeric Interval Filter + 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 2026-10-26).
Runs two analytical reports on supplied tree canopy observation records: filters rows by a numeric interval and computes a Base-100 index series, using local computation engines with no external data lookup.
Price / call$0.01
Success—
StatusUnknown
How this service works
Tree canopy observations — Numeric interval filter + Base-100 series: Numeric interval filter + 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
Returns two reports: (1) rows from the input dataset where the selected numeric field (canopy_m2 or plot_m2) falls within the specified minimum–maximum interval, and (2) a Base-100 index series computed for the selected field anchored to the specified base_index row. Both reports are derived entirely from the supplied input data using local analytical engines — no external data is fetched.
Example use cases
Urban canopy coverage range audit
“I have canopy observation records for 120 plots across three station groups — filter out any canopy_m2 values outside the 10 to 800 range and give me a Base-100 series anchored to row index 0 so I can see relative canopy size.”
Plot size baseline indexing
“Can you take these 80 plot_m2 measurements from our urban forestry survey and produce a Base-100 index series using row 5 as the baseline, plus filter to only rows where plot_m2 is between 50 and 5000?”
Station group canopy comparison
“I've got two station groups worth of tree canopy data — around 150 rows total — and I need to see which canopy_m2 records fall between 200 and 1500 square meters, along with a Base-100 indexed series anchored to row 10 for trend comparison.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-weather-17-128?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have pre-collected tree canopy or plot area observation records and need two specific analytical outputs — a numeric interval filter and a Base-100 index series — computed from your own data without any live data fetching, prediction, or external enrichment. It is cost-effective at $0.01 for both reports simultaneously on up to 200 rows. Prefer alternatives if you need live canopy data, spatial lookup, predictive modeling, or more than two report types in a single call.
Side effects
- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, date, canopy_m2, plot_m2) on any row — validation error
- date field does not match YYYY-MM-DD pattern — schema validation failure
- base_index value exceeds the number of supplied rows — out-of-bounds error
- minimum greater than maximum — may return empty interval filter result
- Non-numeric values in canopy_m2 or plot_m2 when null is not expected — type error
- Payment of 0.01 USDC not supplied — 402 Payment Required response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| maximum | number | |
| minimum | number | |
| base_index | integer |
Tags
x402
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