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Land Parcel Observations — Daily Sum Series + Two-Measure Correlation
x402
Land Parcel Observations — Daily Sum Series + Two-Measure Correlation 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).
Computes daily sum time series and Pearson correlation between area_m2 and perimeter_m for up to 200 land parcel observation records.
Price / call$0.01
Success—
StatusUnknown
How this service works
Land parcel observations — Daily sum series + Two-measure correlation: Daily sum series + Two-measure correlation 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 reports: (1) a daily sum time series showing the summed value of the selected field (area_m2 or perimeter_m) grouped by date, and (2) a two-measure correlation coefficient between area_m2 and perimeter_m across all supplied rows. Both reports are computed locally from the submitted data with no external lookups.
Example use cases
Daily area totals for survey batch
“I've got 50 land parcel records from a recent survey, each with a date, station group, area in square metres, and perimeter in metres — can you compute the daily sum series for area_m2 and the correlation between area and perimeter across all of them?”
Parcel shape consistency check
“Here are 120 parcel observation rows from our GIS export with dates ranging from 2025-01-01 to 2025-04-30 — run the daily sum series on perimeter_m and give me the two-measure correlation between area_m2 and perimeter_m so I can see if larger parcels consistently have longer perimeters.”
Multi-group parcel trend analysis
“I have land parcel data for two station groups — north-zone and south-zone — with 80 rows each covering Q3 2024; please aggregate the daily totals for area_m2 and calculate the area-to-perimeter correlation for the full dataset.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-weather-14-141?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have raw land parcel observation data (area and perimeter measurements keyed by date and station group) and need both a daily aggregation time series and a statistical correlation between the two measures in a single low-cost call. It is ideal for offline/batch analytical pipelines where no live data lookup, external enrichment, or prediction is needed, and the dataset fits within 200 rows.
Side effects
- More than 200 rows submitted — request rejected due to maxItems constraint
- Missing required fields (row_id, station_group, date, area_m2, perimeter_m) — validation error
- Malformed date strings not matching YYYY-MM-DD pattern — schema validation failure
- All null values for a measure — correlation computation may return null or NaN
- Empty rows array — minItems:1 constraint violation
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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