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Elevation Samples — Numeric Row Ordering + Two-Measure Correlation
x402
Elevation Samples — Numeric Row Ordering + Two-Measure Correlation 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).
Performs numeric row ordering and two-measure correlation analysis on supplied elevation sample records (elevation_m and sample_weight) for up to 200 rows, returning two analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Elevation samples — Numeric row ordering + Two-measure correlation: Numeric row ordering + Two-measure correlation 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 numeric row ordering report that ranks the supplied elevation sample rows by the chosen field (elevation_m or sample_weight), and (2) a two-measure correlation report quantifying the statistical relationship between elevation_m and sample_weight across all supplied rows. Both reports are computed locally from the supplied data with no external lookups.
Example use cases
Survey station elevation ranking
“I've got 50 weather station elevation readings across two groups — can you rank them numerically by elevation_m and also show me how elevation correlates with sample_weight? Here are the rows with their row IDs, dates, station groups, elevations, and weights.”
Topographic data quality check
“I need to order my 120 elevation sample records from lowest to highest elevation and check whether sample_weight correlates with elevation_m — can you run both reports at once on my dataset?”
Mountain transect analysis
“We collected elevation samples along a mountain transect on 2025-06-15 across groups north and south — please rank the 30 rows by elevation_m and report the correlation between elevation_m and sample_weight so I can see if weight varies with altitude.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-weather-13-120?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have pre-collected elevation sample records (with elevation_m and sample_weight fields) and need both a numeric row ranking and a correlation analysis in a single call for up to 200 rows. It is best suited for offline/batch analytical use cases where no live geospatial lookup, prediction, or external data enrichment is needed — purely local computation on your own supplied data.
Side effects
- Empty rows array — rejected if minItems not met
- More than 200 rows supplied — request rejected with validation error
- Missing required row fields (row_id, station_group, date, elevation_m, sample_weight) — schema validation failure
- Invalid date format (not YYYY-MM-DD) — pattern validation error
- Non-numeric values supplied for elevation_m or sample_weight where numeric required
- Payment not included or insufficient USDC — x402 payment required error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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