{"uid":"cap_PGcKZYH1IVgDVSRaxksAF","slug":"forecast-verification-inputs-numeric-row-ordering-secondary-measure-80bf5716","name":"Forecast Verification Inputs — Numeric Row Ordering + Secondary-Measure Weighted Mean","description":"Forecast verification inputs — Numeric row ordering + Secondary-measure weighted mean: Numeric row ordering + 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-24-121?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_dlItrmzn_G4QbYEVBRH6Q","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 numeric row ordering and secondary-measure weighted mean analytics for up to 200 forecast verification input records (forecast_value and observed_value pairs).","exampleAgentPrompt":"I have 4 forecast verification records from stations group-a and group-b dated 2026-10-01 through 2026-10-04 with forecast values 10, 20, 15, 30 and observed values 1, 2, 3, 4 — can you compute the numeric row ordering and weighted mean on the forecast_value field?","exampleUseCases":[{"title":"Weather station forecast accuracy ranking","prompt":"I have 50 daily forecast vs observed temperature readings from two weather station groups, dates ranging from 2026-01-01 to 2026-02-19 — rank the rows numerically and give me the weighted mean on the observed_value field so I can see where forecasts diverged most."},{"title":"Model output verification batch summary","prompt":"Can you take my 120 forecast verification rows — each has a row_id, station_group, date, forecast_value, and observed_value — and run the numeric row ordering plus weighted mean report on forecast_value? I want to summarize model performance across groups."},{"title":"Comparing forecast and observed value distributions","prompt":"I've got 30 rows of paired forecast and observed precipitation values across two station groups from October 2026. Run the numeric ordering and secondary-measure weighted mean on observed_value so I can compare the distribution against the forecast side."}],"resultDescription":"Two analytical reports per call: (1) numeric row ordering of the submitted records sorted by the selected field (forecast_value or observed_value), and (2) a secondary-measure weighted mean computed across up to 200 supplied rows. Results are derived purely from the submitted data using local analytical engines — no external data or predictions are involved.","failureModes":["More than 200 rows submitted — request rejected with validation error","Missing required fields (row_id, date, forecast_value, observed_value) — row rejected or error returned","Invalid date format (not YYYY-MM-DD) — validation failure","forecast_value or observed_value outside ±1,000,000,000,000 — rejected by schema","Empty rows array — minimum 1 row required, request fails","Invalid field enum value (not 'forecast_value' or 'observed_value') — schema validation error","Payment not included or insufficient USDC — x402 payment required error"],"whenToPreferThis":"Choose this endpoint when you have a batch of forecast verification records (forecast_value + observed_value pairs) and need both numeric ordering and a weighted mean computed locally without any live data lookup, external prediction, or professional assessment. Ideal for post-hoc forecast accuracy analysis pipelines where you supply your own data and want two statistical reports in a single low-cost call ($0.01 USDC for up to 200 rows).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-30T19:11:14.941Z","isFirstParty":false,"canonicalSlug":"forecast-verification-inputs-numeric-row-ordering-secondary-measure-80bf5716"}