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Land Parcel Observations — String Normalisation & Category Frequencies
x402
Land Parcel Observations — String Normalisation & Category Frequencies 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).
Runs string normalisation and category frequency analysis on up to 200 land parcel observation records (area_m2, perimeter_m), returning two local analytical reports per call.
Price / call$0.01
Success—
StatusUnknown
How this service works
Land parcel observations — String normalisation + Category frequencies: String normalisation + Category frequencies 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 local analytical reports per call: (1) a string normalisation report cleaning and standardising text fields (e.g. station_group) across the supplied rows, and (2) a category frequency report counting occurrences of each unique value in categorical fields — both computed entirely on the submitted data with no external lookups.
Example use cases
Audit station group label consistency
“I have 80 land parcel observation rows with station group labels that may have inconsistent casing or spacing — can you normalise those strings and tell me the frequency breakdown of each unique category?”
Summarise parcel size distributions by group
“Here are 150 parcel records with area_m2 and perimeter_m values across two station groups. Run the category frequency and string normalisation reports so I can see how the groups are distributed.”
Data quality check before GIS import
“Before I import these 200 land parcel records into our GIS system, can you normalise the string fields and give me category frequency counts for station_group and date so I can spot any anomalies?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-weather-14-024?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 land parcel observation records and need both string normalisation and category frequency analysis computed locally without any external data lookups, live predictions, or professional assessments — particularly useful for data quality checks and descriptive summaries of parcel datasets before downstream GIS or analytics processing.
Side effects
- More than 200 rows submitted — request rejected with validation error
- Missing required fields (row_id, station_group, date, area_m2, or perimeter_m) — row-level error
- Invalid date format (not YYYY-MM-DD) — validation failure
- area_m2 or perimeter_m outside allowed range (±1,000,000,000,000) — rejected
- Empty rows array — minimum 1 item required
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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