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Tree Canopy Observations — Numeric Interval Filter + IQR Outlier Flags
x402
Tree Canopy Observations — Numeric Interval Filter + IQR Outlier Flags 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).
Filters tree canopy observation records by a numeric interval and flags IQR-based outliers across up to 200 rows, returning two analytical reports for canopy_m2 or plot_m2 fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Tree canopy observations — Numeric interval filter + IQR outlier flags: Numeric interval filter + IQR outlier flags 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 for up to 200 supplied rows: (1) a numeric interval filter report listing which records fall within the specified minimum/maximum range for the selected field (canopy_m2 or plot_m2), and (2) an IQR outlier detection report flagging records that fall outside the interquartile range. No external data is fetched; all analysis is performed on the submitted rows.
Example use cases
Urban tree survey quality control
“I've got survey data from 80 tree monitoring plots across three station groups — can you filter the canopy_m2 values between 10 and 800 and flag any outliers using IQR so I can remove bad readings before analysis?”
Plot size anomaly detection for forestry audit
“Run an interval filter on my plot_m2 field between 50 and 50000, and flag any IQR outliers in these 120 tree canopy observation records so I can identify data entry errors before submitting the audit report.”
Canopy coverage trend validation
“Before I compute canopy coverage trends, I need to validate my dataset — filter canopy_m2 records to the range 0 to 1000 and give me IQR outlier flags for these 60 rows grouped by station_group.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-weather-17-130?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tree canopy observation records (with canopy_m2 and plot_m2 fields) and need both range-based filtering and IQR outlier detection in a single call, without needing live data lookup, predictions, or external enrichment. Ideal for pre-analysis data cleaning, QA pipelines, and audit preparation on small-to-medium datasets (up to 200 rows).
Side effects
- More than 200 rows submitted — request rejected or truncated
- Invalid date format (not YYYY-MM-DD) causes row validation failure
- Missing required fields (row_id, canopy_m2, plot_m2) causes schema rejection
- Minimum value greater than maximum value produces empty interval filter results
- All-null numeric field values may produce undefined IQR statistics
- Payment of 0.01 USDC not completed — endpoint returns 402 Payment Required
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| maximum | number | |
| minimum | number |
Tags
x402
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