{"uid":"cap_pdCM1DtBt5IAZRC_WwP-A","slug":"forecast-verification-inputs-exact-row-deduplication-numeric-row-f8742c89","name":"Forecast Verification Inputs — Exact Row Deduplication + Numeric Row Ordering","description":"Forecast verification inputs — Exact row deduplication + Numeric row ordering: Exact row deduplication + Numeric row ordering 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-24-042?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_wsqc6C7-K0Vh2Beu8U6_f","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 exact rows and applies numeric ordering to forecast verification input records (forecast_value, observed_value) for up to 200 rows, returning 2 analytical reports.","exampleAgentPrompt":"Can you deduplicate and numerically order my forecast verification records? I have up to 200 rows with forecast_value and observed_value fields — here are my rows: [{\"row_id\":\"row-1\",\"station_group\":\"group-a\",\"date\":\"2026-10-01\",\"forecast_value\":10,\"observed_value\":1},{\"row_id\":\"row-2\",\"station_group\":\"group-b\",\"date\":\"2026-10-02\",\"forecast_value\":20,\"observed_value\":2}], and I want to analyze the forecast_value field.","exampleUseCases":[{"title":"Clean duplicate forecast verification logs","prompt":"I have a batch of forecast verification records from multiple weather stations with some exact duplicate rows mixed in — can you deduplicate them and return the results numerically ordered by forecast_value? Here are the rows with station_group, date, forecast_value, and observed_value fields."},{"title":"Prepare ordered forecast data for accuracy review","prompt":"Before I run my forecast accuracy analysis, I need to make sure my dataset of 150 forecast vs observed value rows is deduplicated and sorted numerically. Can you process this set of records where field is observed_value and return two clean analytical reports?"},{"title":"Audit station group forecast inputs","prompt":"I'm auditing forecast verification inputs across two station groups for October 2026 — about 80 rows total. Please remove any exact duplicate entries and sort them numerically so I can compare forecast_value against observed_value cleanly."}],"resultDescription":"Returns 2 independent analytical reports based on the supplied rows: one covering exact row deduplication results (identifying and removing exact duplicate records) and one covering numeric row ordering of the specified field (forecast_value or observed_value), processed entirely via local analytical engines with no external lookups.","failureModes":["Rows array is empty or missing — returns validation error","More than 200 rows submitted — exceeds maxItems limit","Row missing required fields (row_id, date, forecast_value, observed_value) — schema validation failure","Date field does not match YYYY-MM-DD pattern — rejected by pattern validator","Numeric values outside allowed range (-1e12 to 1e12) — schema rejection","Invalid field enum value (not forecast_value or observed_value) — rejected","Payment not included or insufficient USDC — 402 payment required response"],"whenToPreferThis":"Choose this endpoint when you need to clean forecast verification datasets by removing exact duplicate rows and imposing numeric ordering on forecast_value or observed_value columns, particularly for batches up to 200 rows. Ideal for preprocessing weather forecast vs observed data pipelines before accuracy scoring. Not suitable if you need live forecast lookups, prediction generation, outlier flagging, or grouped summaries — those are handled by sibling endpoints on the same platform.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T18:37:48.187Z","isFirstParty":false,"canonicalSlug":"forecast-verification-inputs-exact-row-deduplication-numeric-row-f8742c89"}