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Wind Observations — Numeric Row Ordering + Two-Measure Correlation
x402
Wind Observations — 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 2026-10-29).
Performs numeric row ordering and two-measure correlation analysis on up to 200 wind observation records (wind_speed_ms and gust_speed_ms), returning two analytical reports per call.
Price / call$0.01
Success—
StatusUnknown
How this service works
Wind observations — Numeric row ordering + Two-measure correlation: Numeric row ordering + Two-measure correlation for supplied wind observations records (wind_speed_ms, gust_speed_ms). 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 of the submitted wind observation records sorted by the specified field (wind_speed_ms or gust_speed_ms), and (2) a two-measure correlation analysis between wind_speed_ms and gust_speed_ms across all supplied rows. No external data is fetched; analysis is performed entirely on the submitted dataset.
Example use cases
Wind vs gust correlation for a weather network
“I have 150 daily wind observation records from our station network with wind_speed_ms and gust_speed_ms values — can you rank them by wind speed and tell me how correlated the two measures are across all those readings?”
Comparing storm event wind intensities
“We recorded wind and gust speeds during last month's storm events across our monitoring stations — can you order the 80 rows by numeric wind intensity and compute the correlation between wind_speed_ms and gust_speed_ms for me?”
Quality check on wind sensor data
“I want to validate our wind sensor data by ranking 50 observations numerically and checking whether wind_speed_ms and gust_speed_ms move together — can you run both analyses on these records and report the results?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-weather-03-120?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have wind observation data with paired wind_speed_ms and gust_speed_ms measurements and need both numeric ordering and correlation statistics in a single low-cost call. Ideal for meteorological data pipelines, sensor QA workflows, or analytical summaries where you supply your own data and need fast, serverless statistical computation without an external weather API dependency.
Side effects
- Exceeding 200 row limit returns a validation error
- Missing required fields (row_id, date, wind_speed_ms, gust_speed_ms, station_group) cause schema validation failure
- Invalid date format (non-YYYY-MM-DD) rejected by pattern validation
- Null values in both numeric fields may reduce correlation quality
- Fewer than 2 rows may produce degenerate or undefined correlation
- Payment failure via x402 protocol blocks endpoint access
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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