{"uid":"cap_O3vPU3Z2VHDf0gpowOk-k","slug":"forecast-verification-inputs-exact-row-deduplication-numeric-688e3c97","name":"Forecast Verification Inputs — Exact Row Deduplication + Numeric Distribution","description":"Forecast verification inputs — Exact row deduplication + Numeric distribution: Exact row deduplication + Numeric distribution 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-24-039?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_HJi1ejQmv-zzDpRHElJgG","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":"Deduplicates forecast verification rows and computes numeric distribution statistics for forecast_value or observed_value fields across up to 200 records.","exampleAgentPrompt":"I have a batch of forecast verification records with station groups and dates — can you deduplicate the rows exactly and give me a numeric distribution report on the forecast_value field for up to 200 rows?","exampleUseCases":[{"title":"Deduplicating weather station forecast data","prompt":"I've got a dataset of forecast verification records from multiple station groups with dates from last month — can you remove any exact duplicate rows and show me the numeric distribution of the forecast_value field? I have about 150 rows."},{"title":"Auditing observed value spread across groups","prompt":"Can you take my 80-row forecast verification dataset, deduplicate it exactly, and give me a numeric distribution report on the observed_value field so I can see how the actual measurements are spread out?"},{"title":"Cleaning up forecast pipeline output","prompt":"My forecast pipeline produced 200 rows of verification data with some duplicates — can you deduplicate them precisely and compute the distribution statistics for the forecast_value column so I can check the output quality?"}],"resultDescription":"Returns two analytical reports for the submitted rows: (1) an exact row deduplication report identifying and removing duplicate records, and (2) a numeric distribution report (e.g. min, max, mean, percentiles, histogram) for the specified field (forecast_value or observed_value), covering up to 200 input rows.","failureModes":["More than 200 rows submitted — request exceeds maxItems limit","Missing required fields (row_id, date, forecast_value, observed_value) cause validation errors","Malformed date strings not matching YYYY-MM-DD pattern rejected","Invalid field enum value (not forecast_value or observed_value) causes error","All-null numeric values may produce empty or degenerate distribution output"],"whenToPreferThis":"Choose this endpoint when you need to simultaneously clean duplicate forecast verification records and understand the numeric distribution of forecast or observed values in a single low-cost call. It is purpose-built for forecast verification data (forecast_value, observed_value) with station group and date dimensions, making it more targeted than generic deduplication or statistics tools.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-31T00:42:47.837Z","isFirstParty":false,"canonicalSlug":"forecast-verification-inputs-exact-row-deduplication-numeric-688e3c97"}