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Land Parcel Observations — Record Quality Audit + String Normalisation + Numeric Row Ordering
x402
Land Parcel Observations — Record Quality Audit + String Normalisation + Numeric Row Ordering 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).
Audits data quality, normalises strings, and orders rows numerically for up to 200 land parcel observation records containing area and perimeter measurements, producing 3 independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Land parcel observations — Record quality audit + String normalisation + Numeric row ordering: Record quality audit + String normalisation + Numeric row ordering for supplied land parcel observations records (area_m2, perimeter_m). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.
Output
Returns 3 independent reports for the submitted land parcel rows: (1) a record quality audit highlighting invalid, missing, or out-of-range values in area_m2 and perimeter_m; (2) a string normalisation report for station_group and other string fields; and (3) a numeric row ordering report sorting records by the chosen field (area_m2 or perimeter_m). Covers up to 200 rows per call with no external lookups.
Example use cases
Pre-analysis data quality check
“I have a CSV of land parcel measurements with area and perimeter columns — can you audit the data quality, normalise the station group labels, and order the rows by area_m2 before I run my spatial analysis? There are about 120 rows.”
Cleaning surveyor field records
“Our surveyors submitted parcel observation records and I suspect there are messy station group names and some bad numeric values in the area_m2 and perimeter_m columns. Can you run the three-report quality audit and normalisation on these 80 rows so I know what needs fixing?”
Ordering parcels for land registry submission
“I need to prepare 45 land parcel records for submission — can you check data quality, normalise the string fields, and give me the rows ordered by perimeter_m so the registry gets clean, sorted data?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-weather-14-196?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have raw land parcel observation data (up to 200 rows) that needs simultaneous quality auditing, string cleaning, and numeric ordering before downstream use — especially when you want all three analytical reports in a single paid call at $0.01 USDC without any live data lookups or external dependencies.
Side effects
- More than 200 rows submitted — request rejected with validation error
- Missing required fields (row_id, date, area_m2, perimeter_m, station_group) cause row-level errors
- Invalid date format (not YYYY-MM-DD) triggers pattern validation failure
- Numeric values outside ±1,000,000,000,000 range rejected
- Empty rows array returns error
- Payment of 0.01 USDC not satisfied causes 402 response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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