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Elevation Samples — Numeric Row Ordering & Missing-Value Fill
x402
Elevation Samples — Numeric Row Ordering & 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 2026-10-26).
Applies numeric row ordering and explicit missing-value fill (zero, mean, or median) to a supplied batch of elevation sample records containing elevation_m and sample_weight fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Elevation samples — Numeric row ordering + Explicit missing-value fill: Numeric row ordering + Explicit missing-value fill for supplied elevation samples records (elevation_m, sample_weight). 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 analytical reports for the submitted dataset (up to 200 rows), covering numerically ordered rows and explicitly filled missing values in the target field (elevation_m or sample_weight) using the chosen fill method (zero, mean, or median).
Example use cases
Clean elevation survey data gaps
“I've got 80 elevation readings from our field survey with several missing elevation_m entries — please sort the rows numerically and fill those gaps using the median of the existing values.”
Impute missing sample weights with zero
“Here are 30 elevation sample records where some sample_weight values are null — sort them by row order and fill the missing sample_weight fields with zero.”
Prepare elevation dataset with mean imputation
“I need to prep my 120-row elevation dataset for analysis — sort the records numerically and replace any null elevation_m values with the mean of all available measurements.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-weather-13-124?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have a local batch of elevation sample records (up to 200 rows) with missing numeric values and need both numeric row ordering and explicit missing-value imputation (zero, mean, or median) in a single call with no external data lookup or live API dependency.
Side effects
- More than 200 rows submitted — exceeds the maxItems limit
- Missing required fields (row_id, station_group, date, elevation_m, sample_weight) in any row
- Invalid date format — must match YYYY-MM-DD pattern
- Invalid field enum value — must be 'elevation_m' or 'sample_weight'
- Invalid method enum value — must be 'zero', 'mean', or 'median'
- Payment not included or insufficient — requires 0.01 USDC via x402
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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