{"uid":"cap_xRp-X-7v-0ds5tunVQ-Bo","slug":"forecast-verification-inputs-record-quality-audit-string-9c5759f4","name":"Forecast Verification Inputs — Record Quality Audit + String Normalisation + Grouped Numeric Summary","description":"Forecast verification inputs — Record quality audit + String normalisation + Grouped numeric summary: Record quality audit + String normalisation + Grouped numeric summary 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-24-194?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_XDkirqFlHzp0Jy9-4rbEA","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 on forecast verification data (up to 200 rows): a record quality audit, string normalisation, and grouped numeric summary of forecast_value and observed_value fields.","exampleAgentPrompt":"Can you run a record quality audit, string normalisation, and grouped numeric summary 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 forecast_value as the target field.","exampleUseCases":[{"title":"Weather station forecast data audit","prompt":"I have a batch of 50 forecast verification records from multiple weather stations — can you run a quality audit, normalise the station group strings, and give me a grouped numeric summary of the forecast_value field across all station groups?"},{"title":"Validating observed vs forecast pairs before model training","prompt":"Before I feed my forecast-vs-observed dataset into a model, can you check it for record quality issues, clean up the station_group labels, and summarise the observed_value numbers grouped by station? I've got about 120 rows."},{"title":"Quick analytics report on daily forecast accuracy logs","prompt":"I have daily forecast and observed value logs for 30 days across 3 station groups — run a quality audit, normalise the group names, and give me a grouped numeric summary of forecast_value so I can see how each group is performing."}],"resultDescription":"Three independent analytical reports computed locally from the supplied rows: (1) a record quality audit flagging missing, malformed, or out-of-range values; (2) a string normalisation report for the station_group and related string fields; (3) a grouped numeric summary (e.g. counts, means, min/max) for the selected field (forecast_value or observed_value) segmented by station_group. No external data is fetched or predictions made.","failureModes":["More than 200 rows submitted — request rejected with validation error","Missing required fields (row_id, date, forecast_value, observed_value) on any row — error or partial report","Invalid date format not matching YYYY-MM-DD pattern — validation failure","Numeric values outside allowed range (-1e12 to 1e12) — rejection","Empty rows array — validation error","Invalid field enum value — error returned"],"whenToPreferThis":"Choose this endpoint when you need a fast, local, multi-report batch analysis of forecast verification records without any live lookup, external API call, or model inference. Ideal for data pipeline validation steps, pre-training data cleaning, or quick QA passes on weather forecast accuracy datasets of up to 200 rows at very low cost ($0.01 for all three reports).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T18:36:17.545Z","isFirstParty":false,"canonicalSlug":"forecast-verification-inputs-record-quality-audit-string-9c5759f4"}