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Land Parcel Observations — Record Quality Audit + Daily Sum Series
x402
Land Parcel Observations — Record Quality Audit + Daily Sum Series 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 a record quality audit and daily sum time series analysis on up to 200 land parcel observation rows (area_m2, perimeter_m), returning two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Land parcel observations — Record quality audit + Daily sum series: Record quality audit + Daily sum series 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 independent analytical reports: (1) a record quality audit flagging issues such as nulls, out-of-range values, or malformed records across the supplied rows; and (2) a daily sum time series aggregating the selected field (area_m2 or perimeter_m) by date, optionally broken out by station group. Both reports are computed locally from the supplied data with no external lookups.
Example use cases
Parcel dataset quality check before ingestion
“I have 120 land parcel observation records with area_m2 and perimeter_m readings across several station groups — can you audit them for quality issues and also compute a daily sum series for area_m2 so I can see the totals over time before I load them into our database?”
Daily perimeter trend analysis for survey team
“Our survey team collected daily parcel perimeter measurements at two station groups over the past month — run a record quality audit on all 80 rows and give me a daily sum series for the perimeter_m field so we can spot any anomalies.”
Automated QA report for GIS pipeline
“I need a quality audit plus daily summed totals for area_m2 across these 30 land parcel observation rows — station groups are 'north-zone' and 'south-zone', dates run from 2025-01-01 to 2025-01-30. Generate both reports.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-weather-14-009?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 land parcel observation records (with area_m2 and perimeter_m fields) and need both a data quality audit and a daily aggregated sum series in a single call. It is well-suited for GIS pipelines, survey data validation, or pre-ingestion QA workflows where no live lookup or external data is needed. It bundles two analytical reports for a flat $0.01 USDC, making it efficient when both quality checking and time-series aggregation are required together.
Side effects
- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, date, area_m2, perimeter_m, station_group) cause row-level rejection
- Malformed date strings not matching YYYY-MM-DD pattern are rejected
- Empty rows array returns an error
- Invalid field enum value (not area_m2 or perimeter_m) causes request failure
- Payment of 0.01 USDC not included results in 402 response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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