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Land Parcel Observations — Numeric Row Ordering + Explicit Missing-Value Fill
x402
Land Parcel Observations — Numeric Row Ordering + Explicit Missing-Value Fill 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).
Sorts land parcel observation rows numerically and fills missing area_m2 or perimeter_m values using zero, mean, or median imputation, returning two analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Land parcel observations — Numeric row ordering + Explicit missing-value fill: Numeric row ordering + Explicit missing-value fill 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 structured analytical reports covering the supplied land parcel observation rows after numeric row ordering and explicit missing-value fill (using zero, mean, or median) for the selected field (area_m2 or perimeter_m). Reports are generated from local analytical engines with no live lookups or external data.
Example use cases
Clean surveyor parcel dataset nulls
“I've got a batch of land parcel survey records where some area_m2 readings are null — sort them in numeric row order and fill in those missing values using the median of the existing ones, then give me the two reports.”
Zero-fill missing perimeter measurements
“For this set of parcel observations, I need the rows ordered numerically and any missing perimeter_m values replaced with zero — can you run the two reports on that cleaned data?”
Mean imputation for property boundary data
“I have around 150 land parcel records across multiple station groups with some missing area_m2 entries — please order them by row ID numerically, apply mean fill to the missing area values, and return both analytical reports.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-weather-14-124?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have land parcel observation data (with area_m2 and perimeter_m fields) that needs both numeric row ordering and missing-value imputation in a single call, returning two reports at once. It is ideal for preprocessing survey or cadastral datasets before analysis. Prefer it over generic data-cleaning tools when your data fits the parcel schema and you want statistically sound fill (zero, mean, or median) with no external dependencies or side effects.
Side effects
- Rows array empty or missing — minItems:1 validation error
- More than 200 rows submitted — maxItems:200 exceeded
- Invalid date format (not YYYY-MM-DD) — pattern validation failure
- Field value not in enum [area_m2, perimeter_m] — schema validation error
- Method value not in enum [zero, mean, median] — schema validation error
- row_id missing or empty string — minLength:1 validation failure
- Numeric values outside ±1,000,000,000,000 bounds — schema rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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