{"uid":"cap_vyTxcua9Pe7-oIres8K_Q","slug":"forecast-verification-inputs-string-normalisation-numeric-interval-5dee20bc","name":"Forecast Verification Inputs — String Normalisation + Numeric Interval Filter","description":"Forecast verification inputs — String normalisation + Numeric interval filter: String normalisation + Numeric interval filter 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-24-026?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"},"maximum":{"type":"number","default":100,"maximum":1000000000000,"minimum":-1000000000000},"minimum":{"type":"number","default":0,"maximum":1000000000000,"minimum":-1000000000000}}},"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_-TAMkyF-zCk_AqxxmGHAQ","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":"Normalises string fields and filters rows by numeric interval for forecast verification data (forecast_value, observed_value) across up to 200 rows, returning two analytical reports.","exampleAgentPrompt":"Can you normalise the station group strings and filter by forecast_value between 0 and 100 for these 4 rows of forecast verification data: row-1/group-a/2026-10-01 forecast=10 observed=1, row-2/group-b/2026-10-02 forecast=20 observed=2, row-3/group-a/2026-10-03 forecast=15 observed=3, row-4/group-b/2026-10-04 forecast=30 observed=4? I need both analytical reports.","exampleUseCases":[{"title":"Weather station forecast QA pipeline","prompt":"I have 50 rows of weather station forecast verification records with messy station group names — can you normalise the strings and filter to only keep rows where forecast_value is between -10 and 40? Return both analytical reports."},{"title":"Filtering outlier observed values","prompt":"For my forecast verification dataset of 120 rows, can you normalise the text fields and filter the observed_value column to only include rows between 0 and 500, and give me the two standard reports?"},{"title":"Pre-analysis forecast data cleaning","prompt":"Before I run my forecast accuracy analysis, I need to clean up 80 rows of forecast verification inputs — normalise the station_group strings and filter so only rows with forecast_value between 5 and 95 remain, using both reports."}],"resultDescription":"Two independent analytical reports covering: (1) normalised string output for the station_group and related string fields, and (2) rows filtered to the specified numeric interval on the chosen field (forecast_value or observed_value), all computed locally with no external lookups.","failureModes":["Row count exceeds 200 — request rejected","Invalid date format not matching YYYY-MM-DD pattern","minimum greater than maximum — interval filter returns empty set","row_id missing or empty — validation error","field enum value not 'forecast_value' or 'observed_value' — schema rejection","Numeric values outside ±1,000,000,000,000 bounds — rejected"],"whenToPreferThis":"Choose this endpoint when you have tabular forecast verification data (paired forecast and observed values with station and date metadata) and need both string normalisation and numeric interval filtering in a single cheap call ($0.01 USDC for two reports, up to 200 rows). Prefer it over general-purpose data cleaning tools when your data conforms to the forecast_value/observed_value schema and you want local analytical processing with no external API dependencies or live lookups.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-23T12:49:28.586Z","isFirstParty":false,"canonicalSlug":"forecast-verification-inputs-string-normalisation-numeric-interval-5dee20bc"}