{"uid":"cap_DQ5oDJNWICxIRY5dV2y7R","slug":"forecast-verification-two-measure-correlation-secondary-measure-370dbb10","name":"Forecast Verification — Two-Measure Correlation + Secondary-Measure Weighted Mean","description":"Forecast verification inputs — Two-measure correlation + Secondary-measure weighted mean: Two-measure correlation + 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-24-181?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_yFPb5ohf5wG02gA44rL96","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 Pearson correlation between forecast and observed values, plus a weighted mean of a secondary measure, for up to 200 forecast verification records.","exampleAgentPrompt":"I have 150 rows of daily forecast and observed temperature readings across two station groups from October 2026 — can you compute the two-measure correlation between forecast_value and observed_value, plus a weighted mean of the secondary measure, and give me both reports?","exampleUseCases":[{"title":"Weather model accuracy evaluation","prompt":"I've got 120 rows of forecast vs observed precipitation data by station group for last month — run a two-measure correlation and secondary weighted mean on them so I can see how accurate the model was."},{"title":"Seasonal forecast skill benchmarking","prompt":"Can you take these 80 daily records of forecast and observed temperature values from our two station groups this fall and compute the correlation plus weighted mean? I need to benchmark our seasonal forecast skill."},{"title":"Automated forecast QA pipeline","prompt":"As part of our nightly QA, here are today's 50 forecast verification rows with forecast_value and observed_value — please run the two-measure correlation and secondary weighted mean reports on them."}],"resultDescription":"Returns two analytical reports: (1) a Pearson or equivalent two-measure correlation coefficient between forecast_value and observed_value across the supplied rows, and (2) a weighted mean of the secondary measure. Results are computed locally with no external lookups, covering up to 200 input rows.","failureModes":["Fewer than 1 row submitted — minimum row count not met","More than 200 rows submitted — exceeds maximum batch size","Missing required fields (row_id, forecast_value, observed_value, date) — validation error","Non-numeric values in forecast_value or observed_value — parse failure","Date strings not matching YYYY-MM-DD pattern — schema validation error","Insufficient variance in data — correlation may return NaN or undefined"],"whenToPreferThis":"Choose this endpoint when you need a quick, cheap ($0.01 USDC) dual statistical report — correlation plus weighted mean — on forecast verification pairs without requiring live data access, external APIs, or professional meteorological assessment. Ideal for automated pipelines validating forecast model outputs in batch up to 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-01T00:41:00.152Z","isFirstParty":false,"canonicalSlug":"forecast-verification-two-measure-correlation-secondary-measure-370dbb10"}