{"uid":"cap_aGZGoUJmx-lTpQAwhaBrK","slug":"forecast-verification-inputs-numeric-interval-filter-daily-sum-series-2e139206","name":"Forecast Verification Inputs — Numeric Interval Filter + Daily Sum Series","description":"Forecast verification inputs — Numeric interval filter + Daily sum series: Numeric interval filter + Daily sum series 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-24-125?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_6M02tLKMqJcPzh9c5kGNd","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":"Applies a numeric interval filter and computes a daily sum series on supplied forecast vs. observed value records, returning two analytical reports for up to 200 rows.","exampleAgentPrompt":"I have forecast verification data for two station groups — rows with dates from 2026-10-01 to 2026-10-04, forecast_value and observed_value fields — can you filter the forecast_value column between 0 and 100, and also give me a daily sum series for those same records?","exampleUseCases":[{"title":"Weather station forecast accuracy review","prompt":"I have 150 rows of forecast vs observed temperature readings across several station groups, dated over the past month. Filter the forecast_value field between -10 and 35, and also give me a daily sum series so I can see how totals trend over time."},{"title":"Precipitation forecast range validation","prompt":"Here are my forecast verification records for precipitation — each row has a date, station_group, forecast_value, and observed_value. Filter the observed_value field between 0 and 50, and compute a daily sum series so I can spot days with unusually high totals."},{"title":"Model output quality check by date","prompt":"I need to audit my weather model outputs for Q4 2026. I have up to 200 verification rows with forecast and observed values per station group. Please filter forecast_value between 5 and 200 and give me the daily sum aggregation alongside that interval filter report."}],"resultDescription":"Returns two analytical reports: (1) a numeric interval filter report showing which rows fall within the specified min/max range for the chosen field, and (2) a daily sum series report aggregating values by date — both computed locally from the supplied forecast_value and observed_value records, with no external data lookup.","failureModes":["Exceeding 200 rows returns a validation error","Missing required fields (row_id, date, forecast_value, observed_value) causes rejection","Invalid date format (non-YYYY-MM-DD) triggers a pattern mismatch error","Minimum value greater than maximum value may produce empty interval filter results","Null values in the target field are excluded from interval filter and sum calculations","Payment failure (insufficient USDC) results in 402 response with no report"],"whenToPreferThis":"Choose this endpoint when you have pre-collected forecast verification data (forecast vs. observed pairs) and need both a numeric range filter and a date-based daily sum aggregation in a single call. It is ideal for offline/batch analytical workflows where no live weather lookup or external prediction is needed, and when cost efficiency matters (two reports for $0.01 USDC per call on up to 200 rows).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-24T12:54:39.614Z","isFirstParty":false,"canonicalSlug":"forecast-verification-inputs-numeric-interval-filter-daily-sum-series-2e139206"}