{"uid":"cap_dirHG5Xjft6AHysOVG3VL","slug":"wind-observations-numeric-interval-filter-adjacent-row-changes-b66decd2","name":"Wind Observations — Numeric Interval Filter + Adjacent Row Changes","description":"Wind observations — Numeric interval filter + Adjacent row changes: Numeric interval filter + Adjacent row changes 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.","url":"https://market.datapackvibe.com/x402/assistant-ib26-weather-03-127?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","station_group","date","wind_speed_ms","gust_speed_ms"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"gust_speed_ms":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"station_group":{"type":"string","default":"","maxLength":80},"wind_speed_ms":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","gust_speed_ms":1,"station_group":"group-a","wind_speed_ms":10},{"date":"2026-10-02","row_id":"row-2","gust_speed_ms":2,"station_group":"group-b","wind_speed_ms":20},{"date":"2026-10-03","row_id":"row-3","gust_speed_ms":3,"station_group":"group-a","wind_speed_ms":15},{"date":"2026-10-04","row_id":"row-4","gust_speed_ms":4,"station_group":"group-b","wind_speed_ms":30}],"maxItems":200,"minItems":1},"field":{"enum":["wind_speed_ms","gust_speed_ms"],"type":"string","default":"wind_speed_ms"},"maximum":{"type":"number","default":100,"maximum":1000000000000,"minimum":-1000000000000},"minimum":{"type":"number","default":0,"maximum":1000000000000,"minimum":-1000000000000}}},"responseSchema":null,"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.01","displayCostAsset":"USDC","priceDynamic":false,"priceHint":null,"priceStatus":"priced","priceSource":"probe","requiresHandshake":false,"reviewCount":0,"rating":{"score":"0.00","successRate":"0.00","reviews":0,"stars":null,"state":"unrated"},"availabilityStatus":"unknown","priceObserved":null,"sessionDeposit":null,"pricing":{"kind":"static","summary":"$0.01/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_kdeNJ8kWu0x7MCsQlNHDq","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.01","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Applies a numeric interval filter and adjacent-row change detection to supplied wind observation records (wind_speed_ms, gust_speed_ms) for up to 200 rows.","exampleAgentPrompt":"I have 150 daily wind observation rows from two station groups — each with wind_speed_ms and gust_speed_ms — can you filter the rows where wind_speed_ms falls between 5 and 25 m/s and also show me the adjacent row-to-row changes for that field?","exampleUseCases":[{"title":"Flag calm-wind days within safe range","prompt":"I've got daily wind readings from our coastal monitoring stations. Can you filter to only keep the rows where wind_speed_ms is between 0 and 10, and also tell me how the wind speed changed from one day to the next?"},{"title":"Detect sudden gust spikes between records","prompt":"Here are 80 rows of wind observations with gust_speed_ms values. Please apply an interval filter keeping gusts between 15 and 60 m/s, and compute the adjacent row changes so I can see where gusts jumped sharply."},{"title":"Quality-check wind sensor data for outliers","prompt":"I have sensor data from three station groups over 100 days. Filter out any wind_speed_ms readings outside 2 to 35 m/s and show me the row-by-row differences so I can spot where the sensor may have spiked."}],"resultDescription":"Returns two analytical reports: (1) rows from the supplied wind observation dataset where the chosen field (wind_speed_ms or gust_speed_ms) falls within the specified [minimum, maximum] interval, and (2) adjacent row change values showing the delta between consecutive records for the chosen field — all computed locally against supplied data with no external lookup.","failureModes":["More than 200 rows supplied — request rejected or truncated","Invalid date format (not YYYY-MM-DD) — schema validation error","Missing required fields (row_id, station_group, date, wind_speed_ms, gust_speed_ms) — validation failure","minimum greater than maximum — may return empty interval filter result","Non-numeric values in wind_speed_ms or gust_speed_ms — schema rejection","Empty rows array — schema validation error"],"whenToPreferThis":"Choose this endpoint when you have up to 200 wind observation records (with wind_speed_ms and/or gust_speed_ms) and need both interval-range filtering AND consecutive row change detection in a single low-cost call ($0.01 USDC). It is ideal for batch analytical passes on pre-collected sensor or station data where no live weather lookup, forecast, or external enrichment is needed.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T12:37:19.061Z","isFirstParty":false,"canonicalSlug":"wind-observations-numeric-interval-filter-adjacent-row-changes-b66decd2"}