{"uid":"cap_tUra3iAypL1kO9wm4jj9Q","slug":"forecast-verification-inputs-record-quality-audit-string-d76395b6","name":"Forecast Verification Inputs — Record Quality Audit + String Normalisation + Daily Sum Series","description":"Forecast verification inputs — Record quality audit + String normalisation + Daily sum series: Record quality audit + String normalisation + Daily sum series for supplied forecast verification inputs records (forecast_value, observed_value). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.","url":"https://market.datapackvibe.com/x402/assistant-ib26-weather-24-198?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_0ORCPm0-RNCt_OU7_8tPf","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":"Runs three local analytical reports (record quality audit, string normalisation, and daily sum series) on up to 200 rows of forecast verification data containing forecast_value and observed_value fields.","exampleAgentPrompt":"Can you audit and normalise my forecast verification data — I have 150 rows with row_id, station_group, date, forecast_value, and observed_value — and also give me a daily sum series for the forecast_value field?","exampleUseCases":[{"title":"Weather model accuracy data audit","prompt":"I have 200 rows of forecast vs observed weather readings across multiple station groups from last month. Can you run a record quality audit on them, normalise the station_group strings, and give me daily sums for the forecast_value field?"},{"title":"Forecast dataset string cleaning","prompt":"My forecast verification dataset has messy station_group labels and I need them normalised, plus a quality check on all the records and a daily sum series — can you run all three reports on my observed_value field for these 80 rows?"},{"title":"Daily aggregation of model predictions","prompt":"I need a daily sum series and a quality audit for my 50-row dataset of forecast_value and observed_value pairs, grouped by date and station_group, so I can see how predictions accumulated day by day."}],"resultDescription":"Three independent analytical reports generated from the submitted rows: (1) a record quality audit flagging missing, malformed, or out-of-range values; (2) a string normalisation report cleaning and standardising the station_group field; and (3) a daily sum series aggregating the selected numeric field (forecast_value or observed_value) by date. All processing is local with no external lookups.","failureModes":["Submitting more than 200 rows results in a validation error","Missing required fields (row_id, station_group, date, forecast_value, observed_value) cause row-level rejection","Dates not matching YYYY-MM-DD pattern fail schema validation","Numeric values outside the allowed range (-1e12 to 1e12) are rejected","Empty rows array returns an error","Invalid field enum value (not 'forecast_value' or 'observed_value') causes a parameter error"],"whenToPreferThis":"Choose this endpoint when you have tabular forecast verification records (with forecast and observed numeric values, dates, and station groups) and need a bundle of three analytical reports — quality audit, string normalisation, and daily sum aggregation — in a single low-cost call. Prefer this over separate analytics services when your dataset is under 200 rows and you want all three reports for $0.01 USDC without any live data lookups or external integrations.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-26T18:50:28.437Z","isFirstParty":false,"canonicalSlug":"forecast-verification-inputs-record-quality-audit-string-d76395b6"}