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Elevation Samples — Numeric Row Ordering + Trailing Mean Series
x402
Elevation Samples — Numeric Row Ordering + Trailing Mean Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-31).
Computes numeric row ordering and a trailing mean series for up to 200 elevation sample records, delivering two analytical reports from supplied data.
Price / call$0.01
Success—
StatusUnknown
How this service works
Elevation samples — Numeric row ordering + Trailing mean series: Numeric row ordering + Trailing mean series 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
Two analytical reports per call: (1) a numeric row ordering ranking the supplied elevation sample rows, and (2) a trailing mean series computed over the selected field (elevation_m or sample_weight) using the specified window size — both derived entirely from the supplied data with no external lookups.
Example use cases
Station elevation trend smoothing
“I've got 50 elevation readings from our weather stations across two groups — can you rank them numerically and compute a trailing mean with a window of 5 on the elevation_m field so I can see the smoothed trend?”
Sample weight rolling average analysis
“Here are 100 rows of elevation sample data with station groups and dates — please compute the numeric row ordering and a trailing mean series using a window of 10 on the sample_weight field.”
Elevation outlier context via ranked ordering
“I have 30 elevation sample records from a mountain monitoring project and I need both their numeric row ranks and a trailing mean series with window 3 on elevation_m — can you run both reports for me?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-weather-13-115?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tabular elevation sample data (up to 200 rows) and need both a numeric row ranking and a rolling/trailing mean series computed locally without any live data lookup, external API calls, or prediction. Ideal for offline analytical batch processing of elevation or sample-weight time series from station groups.
Side effects
- More than 200 rows submitted — request rejected or truncated
- Invalid date format (not YYYY-MM-DD) causes validation error
- Window size outside [2, 200] range causes parameter rejection
- Missing required fields (row_id, elevation_m, sample_weight) cause schema validation failure
- Null values in the target field may affect trailing mean computation
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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