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Land Parcel Observations — Grouped Numeric Summary + Two-Measure Correlation
x402
Land Parcel Observations — Grouped Numeric Summary + Two-Measure Correlation is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-29).
Computes a grouped numeric summary and a two-measure Pearson/correlation report for supplied land parcel records (area_m2, perimeter_m) using local analytical engines — no external lookups.
Price / call$0.01
Success—
StatusUnknown
How this service works
Land parcel observations — Grouped numeric summary + Two-measure correlation: Grouped numeric summary + Two-measure correlation for supplied land parcel observations records (area_m2, perimeter_m). 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 grouped numeric summary showing descriptive statistics (e.g. count, mean, min, max, std dev) for the selected measure broken down by station_group, and (2) a two-measure correlation report quantifying the linear relationship between area_m2 and perimeter_m across all supplied rows. No external data is fetched; results are derived solely from the supplied records.
Example use cases
Parcel area stats by survey group
“I've got 150 land parcel observations split across three station groups with area_m2 and perimeter_m readings — give me a grouped numeric summary of area_m2 across those groups and tell me how area and perimeter correlate overall.”
Correlation check for parcel dimensions
“Here are 80 land parcel records with area_m2 and perimeter_m values — I need to know the correlation between those two measures and a breakdown of the numeric stats for perimeter_m grouped by station_group.”
Quality check on surveyed parcel dataset
“Can you analyze my 60-row land parcel dataset grouped by station? I want grouped descriptive stats for area_m2 and a correlation report between area_m2 and perimeter_m to see if larger parcels consistently have longer perimeters.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-weather-14-095?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tabular land parcel observation data (up to 200 rows) and need both grouped descriptive statistics and a cross-measure correlation in a single $0.01 call, without requiring any external data lookups, live GIS APIs, or professional assessments. Prefer it over general-purpose analytics services when cost certainty and offline computation on supplied data are priorities.
Side effects
- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, station_group, date, area_m2, perimeter_m) causes rejection
- Dates not matching YYYY-MM-DD pattern fail schema validation
- All-null values for a measure may produce undefined correlation
- Single-row input yields no meaningful correlation
- Invalid field enum value (not area_m2 or perimeter_m) causes rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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