{"uid":"cap_-tZ4-d-aG3FsRLEctVjP-","slug":"rainfall-observations-string-normalisation-numeric-distribution-4c6a89c6","name":"Rainfall Observations — String Normalisation + Numeric Distribution","description":"Rainfall observations — String normalisation + Numeric distribution: String normalisation + Numeric distribution for supplied rainfall observations records (rainfall_mm, duration_hours). 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-02-022?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","station_group","date","rainfall_mm","duration_hours"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"rainfall_mm":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"station_group":{"type":"string","default":"","maxLength":80},"duration_hours":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","rainfall_mm":10,"station_group":"group-a","duration_hours":1},{"date":"2026-10-02","row_id":"row-2","rainfall_mm":20,"station_group":"group-b","duration_hours":2},{"date":"2026-10-03","row_id":"row-3","rainfall_mm":15,"station_group":"group-a","duration_hours":3},{"date":"2026-10-04","row_id":"row-4","rainfall_mm":30,"station_group":"group-b","duration_hours":4}],"maxItems":200,"minItems":1},"field":{"enum":["rainfall_mm","duration_hours"],"type":"string","default":"rainfall_mm"}}},"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_TsdnnjvJZ2bKHXu10Hwj8","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 two local analytical reports on supplied rainfall observation records: string normalisation on categorical fields and numeric distribution analysis on rainfall_mm or duration_hours.","exampleAgentPrompt":"Can you run a string normalisation and numeric distribution analysis on these 50 rainfall observation records I have — I want the distribution report on the rainfall_mm field, with row_id, station_group, date, rainfall_mm, and duration_hours included for each row?","exampleUseCases":[{"title":"Rainfall data quality audit for weather station","prompt":"I've got a batch of 120 rainfall observation records from our monitoring stations — can you normalise the station_group strings and give me a numeric distribution breakdown for the rainfall_mm values so I can spot any anomalies?"},{"title":"Duration hours distribution for irrigation analysis","prompt":"Here are 80 rainfall records with duration_hours and rainfall_mm. Can you run a numeric distribution report on the duration_hours field and normalise the station group labels at the same time?"},{"title":"Multi-station precipitation data review","prompt":"I need to clean up the string fields and get a statistical distribution of rainfall_mm across these 200 weather observation rows before I import them into our dashboard — can you run both reports?"}],"resultDescription":"Two analytical reports for up to 200 rows: (1) a string normalisation report covering categorical text fields such as station_group, and (2) a numeric distribution report covering the selected numeric field (rainfall_mm or duration_hours), including descriptive statistics such as min, max, mean, and distribution characteristics. No external lookups, predictions, or live data are included.","failureModes":["Exceeding 200 rows returns a validation error","Missing required fields (row_id, date, rainfall_mm, duration_hours) causes rejection","Invalid date format (non-YYYY-MM-DD) fails pattern validation","Numeric values outside ±1,000,000,000,000 boundary fail schema validation","Empty rows array rejected (minItems: 1)","Invalid field enum value (anything other than rainfall_mm or duration_hours) causes error"],"whenToPreferThis":"Choose this endpoint when you have up to 200 rainfall observation records and need both string normalisation on categorical fields and a numeric distribution report on either rainfall_mm or duration_hours in a single low-cost call ($0.01 USDC). It is ideal for offline/batch data quality checks on weather or precipitation datasets where no live data lookup, forecasting, or external action is required.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T12:38:44.668Z","isFirstParty":false,"canonicalSlug":"rainfall-observations-string-normalisation-numeric-distribution-4c6a89c6"}