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Land Parcel Observations — String Normalisation + Secondary-Measure Weighted Mean
x402
Land Parcel Observations — String Normalisation + Secondary-Measure Weighted Mean is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-11-02).
Normalises string fields and computes a secondary-measure weighted mean for up to 200 land parcel observation records (area_m2, perimeter_m), returning two analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Land parcel observations — String normalisation + Secondary-measure weighted mean: String normalisation + Secondary-measure weighted mean 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
Two analytical reports: (1) string-normalised versions of the station_group and other string fields across the supplied rows, and (2) a secondary-measure weighted mean of the selected numeric field (area_m2 or perimeter_m), computed locally without any external lookup or live data. Results cover up to 200 input rows.
Example use cases
Parcel area weighted mean by survey group
“I have 50 land parcel records from our recent survey, each with an area in square metres, perimeter in metres, a station group name, and a date. Can you normalise the group name strings and compute the weighted mean of area_m2 using perimeter_m as the secondary measure?”
Perimeter data quality cleanup for GIS pipeline
“Before we load this batch of 120 parcel observations into our GIS system, can you normalise the station group labels and calculate a secondary-measure weighted mean for perimeter_m weighted by area_m2 so we can flag any anomalies?”
Comparing parcel sizes across monitoring stations
“We've collected daily parcel observations across two station groups over the past month — about 180 rows total. Can you run string normalisation on the group identifiers and give me the area_m2 weighted mean report so I can compare average parcel sizes between groups?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-weather-14-034?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both string normalisation and a secondary-measure weighted mean computed together in a single call on land parcel observation data (area_m2, perimeter_m) with up to 200 rows, at low cost ($0.01 USDC for two reports). Prefer it over general-purpose analytics tools when working specifically with land parcel datasets and needing the paired string/numeric reports without any live data dependency or external service calls.
Side effects
- More than 200 rows submitted — request rejected with validation error
- Missing required fields (row_id, station_group, date, area_m2, perimeter_m) — row rejected or error returned
- Invalid date format not matching YYYY-MM-DD pattern — validation failure
- Null values in numeric fields may be excluded from weighted mean calculation
- Invalid enum value for 'field' parameter — schema validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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