{"uid":"cap_lLEtuwTNCCauPzxzMUFth","slug":"forecast-verification-inputs-record-quality-audit-grouped-numeric-ca5d2083","name":"Forecast Verification Inputs — Record Quality Audit + Grouped Numeric Summary","description":"Forecast verification inputs — Record quality audit + Grouped numeric summary: Record quality audit + Grouped numeric summary 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-24-005?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_fL40XdoXvTHuz6doAc6D2","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 a record quality audit and a grouped numeric summary on up to 200 rows of forecast_value/observed_value pairs, returning two analytical reports computed locally.","exampleAgentPrompt":"Can you audit the quality of these forecast verification records and give me a grouped numeric summary by station group? I have up to 50 rows with row_id, station_group, date, forecast_value, and observed_value — I want to check for data issues and see summary stats grouped by group.","exampleUseCases":[{"title":"Weather station forecast data audit","prompt":"I have a CSV of 120 weather station readings with forecast and observed temperature values across two station groups — can you run a data quality audit on them and give me a grouped numeric summary by station group so I can spot any bad rows before I do my analysis?"},{"title":"Pre-analysis validation of prediction records","prompt":"Before I hand off this forecast verification dataset to my model pipeline, can you check all 80 rows for quality issues and summarize the numeric distribution of forecast_value and observed_value grouped by station_group?"},{"title":"Grouped summary for forecast review report","prompt":"I need to review forecast accuracy across group-a and group-b for October 2026 — here are 40 rows of forecast and observed values, can you audit them for data quality problems and give me a grouped numeric summary I can include in my report?"}],"resultDescription":"Two analytical reports: (1) a record quality audit flagging issues such as nulls, out-of-range values, and duplicate row IDs across the submitted rows; and (2) a grouped numeric summary (counts, means, distributions) of forecast_value and observed_value broken down by station_group. Both reports are computed locally from the supplied data with no external lookups.","failureModes":["Empty rows array or missing required fields (row_id, date, forecast_value, observed_value) causes validation error","Exceeding 200 rows returns an error about maxItems constraint","Malformed date strings not matching YYYY-MM-DD pattern cause schema rejection","Null values in forecast_value or observed_value are accepted but may reduce summary completeness","Payment failure via x402 protocol prevents endpoint execution"],"whenToPreferThis":"Choose this endpoint when you have tabular forecast verification data (forecast vs observed pairs) and need both a data quality check and grouped descriptive statistics in a single API call at low cost. It is best suited for pre-analysis validation of weather or numeric prediction datasets grouped by a categorical field, where no live data lookup, external prediction, or professional assessment is needed. Avoid if you need real-time forecast data, model training, or more than 200 rows processed at once.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T18:34:44.235Z","isFirstParty":false,"canonicalSlug":"forecast-verification-inputs-record-quality-audit-grouped-numeric-ca5d2083"}