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Land Parcel Observations — Record Quality Audit + String Normalisation
x402
Land Parcel Observations — Record Quality Audit + String Normalisation is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-30).
Audits data quality and normalises strings for land parcel observation records (area_m2, perimeter_m) across up to 200 rows, returning two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Land parcel observations — Record quality audit + String normalisation: Record quality audit + String normalisation 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 independent analytical reports: (1) a record quality audit identifying issues such as nulls, out-of-range values, and inconsistencies in area_m2 and perimeter_m fields; (2) a string normalisation report covering fields like station_group and date, all computed locally without any external lookups.
Example use cases
Pre-ingestion parcel data cleanup
“Before I load this batch of 120 land parcel records into our database, can you audit them for quality issues and normalise the station_group strings? Each row has a row_id, date, area_m2, and perimeter_m.”
Detecting bad measurements in survey data
“I've got 80 rows of land parcel survey observations with area and perimeter values — some look suspicious. Can you run a quality audit to flag any problematic records and normalise the string fields?”
Validating parcel data before GIS import
“I need to validate these 200 land parcel observation rows before importing them into our GIS system. Please run the record quality audit and string normalisation reports on the area_m2, perimeter_m, station_group, and date fields.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-weather-14-001?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need offline, local analytical auditing of land parcel observation records (area_m2, perimeter_m) without any external lookups or predictions. It is ideal for batches up to 200 rows where you want both a record quality audit and string normalisation in a single low-cost call ($0.01 USDC). Prefer it over generic validation services when the data specifically involves land parcel measurements with station_group groupings.
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 schema error
- row_id or station_group strings exceeding 80 characters are rejected
- Empty rows array returns an error
- Payment failure via x402 protocol prevents processing
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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