{"uid":"cap_OtdhXg0F_rLtPMuivHsJW","slug":"forecast-verification-inputs-string-normalisation-keyed-dataset-274ec391","name":"Forecast Verification Inputs — String Normalisation + Keyed Dataset Comparison","description":"Forecast verification inputs — String normalisation + Keyed dataset comparison: String normalisation + Keyed dataset comparison 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-24-036?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}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"station_group":{"type":"string","default":"","maxLength":80},"forecast_value":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"observed_value":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","station_group":"group-a","forecast_value":10,"observed_value":1},{"date":"2026-10-02","row_id":"row-2","station_group":"group-b","forecast_value":20,"observed_value":2},{"date":"2026-10-03","row_id":"row-3","station_group":"group-a","forecast_value":15,"observed_value":3},{"date":"2026-10-04","row_id":"row-4","station_group":"group-b","forecast_value":30,"observed_value":4}],"maxItems":200,"minItems":1},"other":{"type":"array","items":{"type":"object","required":["row_id","station_group","date","forecast_value","observed_value"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","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":21,"observed_value":2},{"date":"2026-10-03","row_id":"row-3","station_group":"group-a","forecast_value":17,"observed_value":3},{"date":"2026-10-04","row_id":"row-4","station_group":"group-b","forecast_value":33,"observed_value":4}],"maxItems":200,"minItems":0}}},"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_lEpGN_d8TdEzxDy8rZBjS","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 strings and performs keyed dataset comparison across two sets of forecast verification records (forecast_value vs observed_value), producing 2 analytical reports for up to 200 rows.","exampleAgentPrompt":"I have two sets of weather station forecast records — each with up to 200 rows containing row_id, station_group, date, forecast_value, and observed_value — can you run string normalisation and a keyed dataset comparison on both sets and give me the 2 verification reports?","exampleUseCases":[{"title":"Weather station forecast accuracy audit","prompt":"I need to compare my weather forecast values against actual observed values for stations group-a and group-b across October 2026 — here are two datasets with row IDs and dates, can you normalise the station group strings and do a keyed comparison to show me where my forecasts diverged from observations?"},{"title":"Dual-model forecast validation","prompt":"I ran two different forecasting models and I have their outputs alongside observed measurements for the same 150 station-days. Can you normalise the labels and run a keyed dataset comparison on both sets of records so I can see which model was more accurate?"},{"title":"Historical forecast verification reporting","prompt":"We have forecast_value and observed_value pairs for 80 rows across multiple station groups from last quarter — please normalise the station group names and compare the two datasets by key so we get both verification reports for our accuracy review."}],"resultDescription":"Two analytical reports per call: (1) a string normalisation report standardising station_group labels across the submitted rows, and (2) a keyed dataset comparison report pairing forecast_value against observed_value by row_id and date, highlighting discrepancies between the two supplied datasets. No external data is fetched; analysis is performed entirely on the supplied rows (up to 200).","failureModes":["Missing required fields (row_id, date, forecast_value, observed_value) returns validation error","More than 200 rows in either array exceeds the batch limit","Invalid date format (not YYYY-MM-DD) triggers pattern validation failure","Null values in both forecast_value and observed_value may produce incomplete comparison results","Empty rows array (minItems:1 not met) returns schema error","Payment failure (insufficient USDC) prevents processing"],"whenToPreferThis":"Choose this endpoint when you need both string normalisation and keyed dataset comparison in a single call for forecast-vs-observed tabular data, have up to 200 rows, and want two structured reports without any live data lookup or external model inference. It is cost-effective at $0.01 USDC for 2 reports. Prefer alternatives if you need real-time forecast retrieval, more than 200 rows, or professional meteorological assessment.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-29T13:16:57.200Z","isFirstParty":false,"canonicalSlug":"forecast-verification-inputs-string-normalisation-keyed-dataset-274ec391"}