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Elevation Samples — Trailing Mean Series + Explicit Missing-Value Fill
x402
Elevation Samples — Trailing Mean Series + 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 2026-10-24).
Computes a trailing moving average series and fills missing values in elevation sample data (elevation_m, sample_weight) for up to 200 rows, returning two analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Elevation samples — Trailing mean series + Explicit missing-value fill: Trailing mean series + 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: (1) a trailing mean series showing the rolling average of the selected field (elevation_m or sample_weight) over the specified window, and (2) an explicit missing-value fill report showing imputed values using the chosen method (zero, mean, or median). Both reports are derived entirely from the supplied input rows with no external data lookups.
Example use cases
Smoothing sensor elevation readings
“I've got a batch of 120 elevation readings from different station groups with some nulls in elevation_m — can you run a trailing mean with a window of 10 and fill the missing values using the mean method?”
Quality-checking weighted elevation samples
“Can you process my 80 elevation sample rows and compute a rolling average over sample_weight with window size 3, filling any missing sample_weight values with zero?”
Trend analysis on daily elevation data
“I have daily elevation observations across two station groups for the past quarter — about 90 rows — please compute a trailing mean series with window 7 on elevation_m and use median fill for any gaps.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-weather-13-154?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tabular elevation sample data (up to 200 rows) and need both a trailing moving average series and missing-value imputation in a single call. It is ideal for offline/batch analytical work on pre-collected elevation or sensor data where no live geospatial lookup, prediction, or external data enrichment is required. Prefer it over general-purpose data APIs when you specifically need two bundled reports — smoothed trend series plus null-fill — on elevation_m or sample_weight fields.
Side effects
- Input array exceeds 200 rows — request rejected
- Invalid date format (non-YYYY-MM-DD strings) cause validation errors
- Window size outside 2–200 range causes schema validation failure
- Missing required fields (row_id, station_group, date) cause row-level errors
- All values null in a column may cause mean/median fill to return null
- Invalid method or field enum values cause bad request errors
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string | |
| window | integer |
Tags
x402
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