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Land Parcel Observations — String Normalisation + Equal-Width Histogram
x402
Land Parcel Observations — String Normalisation + Equal-Width Histogram is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-11-03).
Runs string normalisation and an equal-width histogram analysis on supplied land parcel observation records (area_m2, perimeter_m) for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Land parcel observations — String normalisation + Equal-width histogram: String normalisation + Equal-width histogram 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 string normalisation report covering the text fields in the submitted records, and (2) an equal-width histogram report for the selected numeric field (area_m2 or perimeter_m) divided into the specified number of bins, including bin boundaries and row counts per bin. Both reports are computed locally from the supplied data with no external lookups.
Example use cases
Survey parcel size distribution analysis
“I've got 120 land parcel observation records from our latest cadastral survey with area_m2 and perimeter_m — can you normalise the string fields and generate an equal-width histogram with 8 bins for area_m2 so I can see how parcel sizes are distributed?”
Perimeter measurement frequency binning
“Can you take these 80 land parcel rows and produce a 5-bin equal-width histogram on the perimeter_m field, along with string normalisation? I want to understand how perimeter lengths cluster across the dataset.”
Multi-group parcel data cleanup and summary
“I have parcel observation data from two station groups — about 150 rows total — with area_m2 measurements. Please run string normalisation and give me an equal-width histogram using 12 bins so I can spot any outliers in the area distribution.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-weather-14-031?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have land parcel observation records (with area_m2 and perimeter_m fields) and need both string normalisation and an equal-width histogram in a single low-cost call. It is ideal for small-to-medium datasets (up to 200 rows) where no external data lookup or prediction is needed — purely local analytical computation on your supplied data. At $0.01 USDC for both reports, it is cost-effective for data cleaning and exploratory distribution analysis on parcel datasets.
Side effects
- More than 200 rows submitted — request rejected with validation error
- bins value outside 1–30 range — validation error returned
- Missing required fields (row_id, date, area_m2, perimeter_m, station_group) — schema validation failure
- Invalid date format (not YYYY-MM-DD) — schema rejection
- All values null for selected field — histogram cannot be computed
- Payment not included or insufficient — x402 payment required response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array | |
| field | string |
Tags
x402
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