{"uid":"cap_eDywHZsxTJ9Jb709X6aBL","slug":"forecast-verification-iqr-outlier-flags-secondary-measure-weighted-mean-baf5db9e","name":"Forecast Verification IQR Outlier Flags + Secondary-Measure Weighted Mean","description":"Forecast verification inputs — IQR outlier flags + Secondary-measure weighted mean: IQR outlier flags + 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-24-177?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_6L_w3dLXR0xbUalrv5hX_","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 IQR-based outlier flags and secondary-measure weighted mean statistics on up to 200 rows of forecast vs. observed value pairs.","exampleAgentPrompt":"Can you run IQR outlier flagging and a secondary-measure weighted mean on my forecast verification data? I have rows with forecast_value and observed_value for station groups across dates in October 2026 — up to 4 rows, and I want to analyze the forecast_value field.","exampleUseCases":[{"title":"Detect outlier forecasts in weather data","prompt":"I have a batch of daily weather forecast vs. observed temperature records for two station groups from last month — can you flag which forecast_value entries are IQR outliers and give me the secondary-measure weighted mean across up to 50 rows?"},{"title":"Forecast accuracy audit for model evaluation","prompt":"I'm evaluating a forecast model and need to know which of my 120 forecast-observation pairs have outlier forecast values according to IQR rules, plus the weighted mean of the observed_value field as a secondary measure — can you run those two reports?"},{"title":"Station group anomaly check after storm event","prompt":"After last week's storm, I need to check my forecast verification records for station groups A and B — please flag any IQR outliers in the observed_value column and compute the weighted mean for the secondary measure across my 80 rows."}],"resultDescription":"Returns two analytical reports on the submitted rows: (1) IQR-based outlier flags indicating which rows have forecast or observed values outside the interquartile range, and (2) a secondary-measure weighted mean summarizing the numeric field across the dataset. No external data is fetched; all analysis is performed locally on the supplied rows.","failureModes":["Fewer than 1 row submitted — request rejected","More than 200 rows submitted — request rejected or truncated","Missing required fields (row_id, forecast_value, observed_value) — validation error","Invalid date format not matching YYYY-MM-DD — schema validation failure","Non-numeric values in forecast_value or observed_value — computation error","Payment of 0.01 USDC not completed — 402 Payment Required response"],"whenToPreferThis":"Choose this endpoint when you have up to 200 rows of paired forecast and observed numeric values and need both IQR outlier detection and weighted mean statistics in a single call, without requiring any live data lookup or external prediction. Ideal for batch forecast verification audits, model evaluation pipelines, and data quality checks on weather or similar time-series forecast data.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T18:37:48.667Z","isFirstParty":false,"canonicalSlug":"forecast-verification-iqr-outlier-flags-secondary-measure-weighted-mean-baf5db9e"}