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Elevation Samples — Numeric Interval Filter + Secondary-Measure Weighted Mean
x402
Elevation Samples — Numeric Interval Filter + Secondary-Measure Weighted Mean is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-11-03).
Filters elevation sample rows by a numeric interval on a chosen field and computes a sample-weight-weighted mean, returning two analytical reports for up to 200 rows of supplied elevation data.
Price / call$0.01
Success—
StatusUnknown
How this service works
Elevation samples — Numeric interval filter + Secondary-measure weighted mean: Numeric interval filter + Secondary-measure weighted mean 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 derived from the supplied elevation sample rows: (1) a numeric interval filter report showing which rows fall within the specified min/max bounds on the chosen field, and (2) a secondary-measure weighted mean report computing the sample_weight-weighted mean of the relevant numeric field across the filtered dataset. Results are based entirely on submitted data with no external lookups.
Example use cases
Elevation range filter for survey stations
“I have survey station readings — 80 rows with elevation_m and sample_weight values — and I want to keep only those where elevation_m falls between 50 and 300 meters, then get the weighted mean elevation using sample_weight. Can you run the two standard reports on that filtered dataset?”
Outlier exclusion before weighted aggregation
“We have 120 elevation sample records and want to exclude extreme outliers by filtering to elevation_m between -10 and 200, then compute the sample-weight-weighted mean for the remaining rows across our station groups — give me both reports.”
Weighted mean on sample_weight field with elevation filter
“For this set of 60 elevation samples, filter using the sample_weight field between 1 and 50, and then compute the weighted mean — I want the numeric interval filter report and the secondary-measure weighted mean report for these rows.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-weather-13-132?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have a pre-collected dataset of elevation samples (up to 200 rows) and need both a numeric interval filter and a weighted mean computation in a single call, without requiring any live data lookup, prediction, or external enrichment. It is ideal for offline or batch analytical workflows where you supply your own elevation_m and sample_weight records and want two structured reports cheaply.
Side effects
- Input array exceeds 200 rows — request rejected
- Missing required row fields (row_id, elevation_m, sample_weight, date, station_group) — validation error
- Invalid date format (must match YYYY-MM-DD) — schema rejection
- Minimum bound greater than maximum bound — may return empty filtered set
- Null values in elevation_m or sample_weight may affect weighted mean computation
- Payment of 0.01 USDC not fulfilled — 402 response blocking execution
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| maximum | number | |
| minimum | number |
Tags
x402
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