{"uid":"cap_0BeGGJhMy120ErjD51jm8","slug":"forecast-verification-inputs-duplicate-key-report-adjacent-row-changes-e67daf75","name":"Forecast Verification Inputs — Duplicate Key Report + Adjacent Row Changes","description":"Forecast verification inputs — Duplicate key report + Adjacent row changes: Duplicate key report + Adjacent row changes 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-24-062?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_S7AQx4d3d0d12wwo8WTeJ","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":"Analyzes up to 200 rows of forecast/observed value pairs to produce a duplicate key report and an adjacent row changes report, entirely from supplied data with no external lookups.","exampleAgentPrompt":"Can you run a duplicate key check and adjacent row changes report on this forecast verification dataset — I have 4 rows with station groups like 'group-a' and 'group-b', dates from 2026-10-01 to 2026-10-04, and I want to analyze the forecast_value field?","exampleUseCases":[{"title":"Duplicate detection in weather forecast batch","prompt":"I have a batch of 50 forecast verification records with row IDs, station groups, dates, and both forecast and observed values — can you check them for duplicate row ID or station/date keys and also show me where adjacent rows change in forecast_value?"},{"title":"Observed value change audit across stations","prompt":"Here are 120 rows of forecast verification data across multiple station groups and dates — run the adjacent row changes report on observed_value so I can see where consecutive readings shifted."},{"title":"Pre-analysis data quality check","prompt":"Before I run my forecast accuracy analysis, can you scan these 80 verification input rows for any duplicate keys and flag all the adjacent row-to-row changes in forecast_value?"}],"resultDescription":"Returns two independent analytical reports: (1) a duplicate key report identifying rows with repeated key combinations (row_id, station_group, date), and (2) an adjacent row changes report showing where consecutive rows differ in the selected field (forecast_value or observed_value), all computed locally from the supplied data with no external calls.","failureModes":["Empty or missing rows array returns validation error","More than 200 rows submitted exceeds the limit and is rejected","Invalid date format (not YYYY-MM-DD) causes schema validation failure","Invalid field enum value (not forecast_value or observed_value) is rejected","Malformed row objects with missing required fields cause schema errors","Numeric values outside ±1,000,000,000,000 are rejected by schema"],"whenToPreferThis":"Choose this endpoint when you need fast, local-only duplicate key detection and adjacent row change analysis on forecast verification data (forecast_value and observed_value pairs) with up to 200 rows, at minimal cost ($0.01 USDC for both reports). Prefer this over general data quality tools when your data is specifically structured around weather station groups, dates, and forecast/observed numeric pairs and you need both reports in a single call.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T18:35:20.047Z","isFirstParty":false,"canonicalSlug":"forecast-verification-inputs-duplicate-key-report-adjacent-row-changes-e67daf75"}