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Land Parcel Observations — String Normalisation + Grouped Numeric Summary
x402
Land Parcel Observations — String Normalisation + Grouped Numeric Summary 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).
Normalises string fields and produces grouped numeric summaries for land parcel observation records containing area and perimeter measurements, across up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Land parcel observations — String normalisation + Grouped numeric summary: String normalisation + Grouped numeric summary 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 reports per call: (1) a string normalisation report that cleans and standardises the station_group and other string fields across all submitted rows, and (2) a grouped numeric summary that aggregates the selected numeric field (area_m2 or perimeter_m) by station_group, providing descriptive statistics per group. No external data is fetched; all analysis is performed locally on the supplied rows.
Example use cases
Parcel area statistics by survey group
“I've got 150 land parcel records each tagged with a station_group, a date, and measurements for area_m2 and perimeter_m. Can you normalise the station_group strings and give me a grouped numeric summary of the area_m2 values across each group?”
Perimeter data quality and grouping report
“Run string normalisation and a grouped numeric summary on my parcel observation dataset — I want to focus on the perimeter_m field this time. There are about 80 rows, each with a row_id, date, area_m2, perimeter_m, and station_group.”
Multi-group land parcel batch analysis
“I need two analytical reports on my land parcel observations: normalise the station_group text fields and compute grouped numeric summaries for area_m2 across groups like 'group-a' and 'group-b'. I have around 200 rows with dates ranging through late 2026.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-weather-14-023?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have a batch of up to 200 land parcel observation records and need both string normalisation of categorical/group labels and grouped descriptive statistics for area or perimeter measurements in a single low-cost call ($0.01 USDC). It is best suited for offline, supplied-data analytics where no live geospatial lookup, prediction, or external data enrichment is required.
Side effects
- Submitting more than 200 rows returns a validation error
- Missing required fields (row_id, station_group, date, area_m2, perimeter_m) causes row rejection
- Invalid date format (not YYYY-MM-DD) triggers a pattern validation error
- Numeric values outside ±1,000,000,000,000 are rejected by schema bounds
- Empty rows array (minItems:1 not met) returns an input validation error
- Selecting a field not in enum ['area_m2','perimeter_m'] returns an invalid field error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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