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Land Parcel Observations — Category Frequencies + Two-Measure Correlation
x402
Land Parcel Observations — Category Frequencies + 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 category frequency counts and Pearson/Spearman correlation between area_m2 and perimeter_m for up to 200 supplied land parcel observation rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Land parcel observations — Category frequencies + Two-measure correlation: Category frequencies + 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 independent analytical reports: (1) a frequency table showing how many rows belong to each station_group category, and (2) a correlation metric (e.g. Pearson r) between the area_m2 and perimeter_m numeric columns, computed locally without any external data lookup or prediction.
Example use cases
Station group frequency audit
“I have 80 land parcel observation records each tagged with a station_group like 'group-a' or 'group-b'. Can you count how many records fall into each category and also check how strongly area_m2 and perimeter_m correlate across the whole dataset?”
Parcel shape consistency check
“Here are 200 parcel survey rows with area and perimeter measurements. Run a correlation analysis between area_m2 and perimeter_m to see if larger parcels consistently have longer perimeters, and also give me the frequency breakdown by station_group.”
Land survey data QA report
“I've exported 60 rows from our land parcel database with date, station_group, area_m2, and perimeter_m. Can you produce a category frequency table for station_group and tell me the statistical correlation between the two numeric measures?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-weather-14-108?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have pre-collected land parcel observation data (up to 200 rows) and need both a categorical frequency breakdown and a two-variable numeric correlation in a single API call at minimal cost. It is ideal for offline/batch statistical QA on parcel datasets where no live data lookup, geospatial enrichment, or external prediction is needed.
Side effects
- More than 200 rows submitted — request rejected or truncated
- Missing required fields (row_id, station_group, date, area_m2, perimeter_m) cause validation errors
- All-null values in area_m2 or perimeter_m prevent correlation computation
- Malformed date strings not matching YYYY-MM-DD pattern rejected
- Payment of 0.01 USDC not provided or x402 protocol failure blocks the call
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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