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Tree Canopy Observations — Record Quality Audit + Numeric Interval Filter
x402
Tree Canopy Observations — Record Quality Audit + Numeric Interval Filter 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 data quality and filters by numeric interval for up to 200 tree canopy observation records (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 + Numeric interval filter: Record quality audit + Numeric interval filter 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 independent reports: (1) a record quality audit identifying missing, malformed, or suspect entries across the supplied rows, and (2) a numeric interval filter report listing which records fall within or outside the specified minimum/maximum range for the chosen field (canopy_m2 or plot_m2). No external data is fetched; all analysis is performed on the supplied rows only.
Example use cases
Flagging anomalous canopy measurements
“I have 50 tree canopy observations from our urban survey. Can you run a quality audit and filter the canopy_m2 field to flag anything outside the range of 0 to 10000 square meters? Here's the dataset with row IDs, station groups, and dates.”
Validating plot size data for reporting
“Before I submit this quarterly forestry report, can you audit the quality of my plot_m2 records and filter out any values that fall outside 100 to 50000? I have 120 rows with station groups and dates I can provide.”
Cleaning canopy dataset for research
“I'm preparing a research dataset of 80 tree canopy observations and need two things: a record quality audit and a filter on canopy_m2 keeping only values between 500 and 200000. Can you process these rows and tell me which ones fail?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-weather-17-008?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 tree canopy or plot observation records that need both a data quality audit and a numeric range filter in a single call, without requiring any live data lookup, external database access, or predictive modeling. It is especially useful for environmental researchers or urban forestry teams who want to validate field-collected canopy data before downstream analysis or reporting.
Side effects
- More than 200 rows submitted — exceeds maxItems limit
- Missing required row fields (row_id, date, canopy_m2, plot_m2, station_group) — validation error
- Invalid date format (must match YYYY-MM-DD pattern) — schema rejection
- Minimum value greater than maximum value — logically invalid interval
- Non-numeric values for canopy_m2 or plot_m2 where nulls are not intended — type error
- Payment not included or insufficient — x402 payment required error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| maximum | number | |
| minimum | number |
Tags
x402
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