{"uid":"cap_26y_DYr1QBROCXmBr3okN","slug":"forecast-verification-inputs-adjacent-row-changes-secondary-measure-169a2899","name":"Forecast Verification Inputs — Adjacent Row Changes + Secondary-Measure Weighted Mean","description":"Forecast verification inputs — Adjacent row changes + Secondary-measure weighted mean: Adjacent row changes + Secondary-measure weighted mean for supplied forecast verification inputs records (forecast_value, observed_value). 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-24-159?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","station_group","date","forecast_value","observed_value"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"station_group":{"type":"string","default":"","maxLength":80},"forecast_value":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"observed_value":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","station_group":"group-a","forecast_value":10,"observed_value":1},{"date":"2026-10-02","row_id":"row-2","station_group":"group-b","forecast_value":20,"observed_value":2},{"date":"2026-10-03","row_id":"row-3","station_group":"group-a","forecast_value":15,"observed_value":3},{"date":"2026-10-04","row_id":"row-4","station_group":"group-b","forecast_value":30,"observed_value":4}],"maxItems":200,"minItems":1},"field":{"enum":["forecast_value","observed_value"],"type":"string","default":"forecast_value"}}},"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_U9ioma2iWFvWrsDRONrRm","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 changes and secondary-measure weighted mean analytics on up to 200 forecast verification input records (forecast_value, observed_value) using local analytical engines.","exampleAgentPrompt":"I have a set of forecast verification records with forecast_value and observed_value for a few station groups across dates in October 2026 — can you run the adjacent row changes and secondary-measure weighted mean reports on them, focusing on the forecast_value field?","exampleUseCases":[{"title":"Weather forecast accuracy batch analysis","prompt":"I have 150 rows of daily forecast and observed temperature readings across two station groups from October 2026 — run the adjacent row changes and weighted mean reports on the forecast_value field so I can assess forecast accuracy."},{"title":"Observed value drift detection","prompt":"Can you analyze these 80 forecast verification records and compute the adjacent row changes and secondary-measure weighted mean for the observed_value field? I want to see how observed readings shift between consecutive dates."},{"title":"Multi-group forecast comparison","prompt":"I've got forecast and observed value pairs for groups A and B across 40 dates — generate both the adjacent row changes and secondary-measure weighted mean reports focusing on forecast_value so I can compare group performance."}],"resultDescription":"Returns two analytical reports for the supplied dataset: (1) adjacent row changes — showing value differences between consecutive rows — and (2) a secondary-measure weighted mean, both computed locally on the provided forecast_value and observed_value data for up to 200 rows.","failureModes":["More than 200 rows submitted — exceeds maxItems limit, request rejected","Missing required fields (row_id, date, forecast_value, observed_value) — validation error","Invalid date format (not YYYY-MM-DD) — schema pattern mismatch","field enum value not 'forecast_value' or 'observed_value' — invalid input","Null values in both forecast_value and observed_value may reduce analytical output quality"],"whenToPreferThis":"Choose this endpoint when you need two specific statistical analyses — adjacent row changes and secondary-measure weighted mean — computed locally on a batch of forecast verification records without any live data lookup, external prediction, or real-time weather service. It is ideal for post-hoc forecast accuracy analysis on datasets up to 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-29T12:53:43.204Z","isFirstParty":false,"canonicalSlug":"forecast-verification-inputs-adjacent-row-changes-secondary-measure-169a2899"}