{"uid":"cap_ujy4OwbPFGSQVUKZIC2ES","slug":"forecast-verification-inputs-record-quality-audit-string-6737f6fa","name":"Forecast Verification Inputs — Record Quality Audit + String Normalisation + Base-100 Series","description":"Forecast verification inputs — Record quality audit + String normalisation + Base-100 series: Record quality audit + String normalisation + Base-100 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-24-201?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"},"base_index":{"type":"integer","default":0,"maximum":199,"minimum":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_YV8RMoW9G45szWnUQsekH","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 base-100 indexed series) on up to 200 rows of forecast-vs-observed weather verification data.","exampleAgentPrompt":"Can you run a record quality audit, string normalisation, and base-100 series on my forecast verification data? I have 4 rows with station groups 'group-a' and 'group-b', dates from 2026-10-01 to 2026-10-04, and I want the base-100 series built on the forecast_value field starting at index 0.","exampleUseCases":[{"title":"Weather station forecast data quality check","prompt":"I have 50 rows of forecast vs observed temperature readings from several weather stations — can you audit the record quality, normalise the station group names, and give me a base-100 indexed series on the observed_value field starting from row index 0?"},{"title":"Pre-analysis cleanup of verification dataset","prompt":"Before I run my model evaluation, can you check the quality of my 120-row forecast verification dataset, normalise any inconsistent station group strings, and produce a base-100 series on the forecast_value field from index 0?"},{"title":"Comparative forecast indexing across groups","prompt":"I've got forecast and observed values for two station groups across 30 dates — can you audit the records for quality issues, normalise the group labels, and generate a base-100 series for forecast_value starting at index 0 so I can compare performance trends?"}],"resultDescription":"Three independent analytical reports computed locally: (1) a record quality audit flagging issues such as nulls, out-of-range values, or structural problems across the input rows; (2) a string normalisation report for station_group and other string fields; and (3) a base-100 indexed series for the selected numeric field (forecast_value or observed_value) anchored at the specified base_index row.","failureModes":["Input array exceeds 200 rows — request rejected","row_id missing or empty — validation error","date field does not match YYYY-MM-DD pattern — validation error","base_index out of range (0–199) — validation error","numeric values outside ±1,000,000,000,000 bounds — validation error","Payment not provided or insufficient USDC — 402 response"],"whenToPreferThis":"Choose this endpoint when you need three bundled analytical passes (quality audit, string normalisation, base-100 indexing) on forecast verification data in a single low-cost call. It is ideal for preprocessing weather forecast datasets before model evaluation, cleaning station labels, or producing indexed time series — all without any live lookups or external data sources. Prefer alternatives if you need live weather data, predictive forecasting, or reports on more than 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-26T18:50:31.445Z","isFirstParty":false,"canonicalSlug":"forecast-verification-inputs-record-quality-audit-string-6737f6fa"}