{"uid":"cap_m0uPYUR3ZfMExRumxtAeh","slug":"pressure-observations-adjacent-row-changes-secondary-measure-weighted-aa50caa9","name":"Pressure Observations — Adjacent Row Changes + Secondary-Measure Weighted Mean","description":"Pressure observations — Adjacent row changes + Secondary-measure weighted mean: Adjacent row changes + Secondary-measure weighted mean for supplied pressure observations records (pressure_hpa, elevation_m). 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-05-159?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","station_group","date","pressure_hpa","elevation_m"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"elevation_m":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"pressure_hpa":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"station_group":{"type":"string","default":"","maxLength":80}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","elevation_m":1,"pressure_hpa":10,"station_group":"group-a"},{"date":"2026-10-02","row_id":"row-2","elevation_m":2,"pressure_hpa":20,"station_group":"group-b"},{"date":"2026-10-03","row_id":"row-3","elevation_m":3,"pressure_hpa":15,"station_group":"group-a"},{"date":"2026-10-04","row_id":"row-4","elevation_m":4,"pressure_hpa":30,"station_group":"group-b"}],"maxItems":200,"minItems":1},"field":{"enum":["pressure_hpa","elevation_m"],"type":"string","default":"pressure_hpa"}}},"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_zDI7rcXgYflrZVr1HtQEA","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":"Computes adjacent-row delta changes and elevation-weighted mean statistics for up to 200 supplied pressure observation records","exampleAgentPrompt":"Can you run adjacent row change and elevation-weighted mean analysis on these pressure records? I have up to 50 rows with pressure_hpa and elevation_m values across a few station groups, and I want both the delta-change report and the weighted mean for the pressure_hpa field.","exampleUseCases":[{"title":"Weather station pressure trend analysis","prompt":"I have 80 daily pressure observations from my weather stations with pressure_hpa and elevation_m readings. Can you compute the adjacent row changes and the elevation-weighted mean for the pressure_hpa field so I can spot sudden pressure drops?"},{"title":"Elevation-adjusted atmospheric baseline","prompt":"I need to calculate a secondary-measure weighted mean for my pressure readings — I have about 120 rows with station_group, date, pressure_hpa, and elevation_m columns. Please give me both the row-change deltas and the weighted mean report using elevation_m as the weight."},{"title":"Multi-station sequential pressure audit","prompt":"Can you analyze these 40 pressure observation records across three station groups and tell me the adjacent row-to-row changes plus the elevation-weighted average pressure? The field I care about most is pressure_hpa."}],"resultDescription":"Two analytical reports derived from the supplied rows: (1) adjacent row change deltas showing how pressure_hpa (or elevation_m) shifts between consecutive records, and (2) a secondary-measure weighted mean aggregating the selected field weighted by the companion measure — all computed locally with no external lookups.","failureModes":["Exceeding 200 rows returns a validation error","Missing required fields (row_id, station_group, date, pressure_hpa, elevation_m) causes rejection","Invalid date format (not YYYY-MM-DD) triggers a pattern validation failure","Null values in both pressure_hpa and elevation_m may produce undefined weighted mean results","Submitting fewer than 1 row returns a minItems error"],"whenToPreferThis":"Choose this endpoint when you have raw tabular pressure observation data (up to 200 rows) and need two specific statistical outputs — adjacent row deltas and an elevation-weighted mean — without requiring live weather data, external forecasting, or professional meteorological assessment. It is ideal for offline batch analysis of historical station records where cost and speed matter.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-29T13:15:46.644Z","isFirstParty":false,"canonicalSlug":"pressure-observations-adjacent-row-changes-secondary-measure-weighted-aa50caa9"}