{"uid":"cap_AKY9hN3guUO7cka9UcqSi","slug":"rainfall-observations-string-normalisation-numeric-row-ordering-e41d587c","name":"Rainfall Observations — String Normalisation + Numeric Row Ordering","description":"Rainfall observations — String normalisation + Numeric row ordering: String normalisation + Numeric row ordering 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-02-025?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_wYcJJJDCo0LBuAeRKaTqE","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 station group strings and orders rows numerically for up to 200 rainfall observation records (rainfall_mm, duration_hours), returning two analytical reports.","exampleAgentPrompt":"Can you normalise the station group strings and order the rows by rainfall_mm for these 12 rainfall records I've collected — each one has a row_id, station_group, date, rainfall_mm, and duration_hours?","exampleUseCases":[{"title":"Hydrology field data cleanup","prompt":"I have 80 rows of rain gauge readings with messy station group labels and I need the strings standardised and everything ordered by rainfall_mm — can you run the two analytical reports on that data?"},{"title":"Weather station duration ranking","prompt":"Can you take my 45 rainfall observation records and sort them numerically by duration_hours, also cleaning up the station_group text? I need both reports your system generates."},{"title":"Pre-analysis dataset preparation","prompt":"Before I run my hydrology model, I need to normalise the station group names and get the rows in numeric order by rainfall_mm for these 150 records — each has a row_id, date, station_group, rainfall_mm, and duration_hours."}],"resultDescription":"Two analytical reports covering (1) normalised station group string values and (2) numerically ordered rows for the selected field (rainfall_mm or duration_hours), applied across up to 200 supplied rainfall observation records. No external data is fetched; all computation is local.","failureModes":["More than 200 rows submitted — request rejected","Missing required fields (row_id, station_group, date, rainfall_mm, duration_hours) cause validation errors","Invalid date format (not YYYY-MM-DD) causes schema rejection","Null values in rainfall_mm or duration_hours may affect numeric ordering output","Invalid field enum value (must be 'rainfall_mm' or 'duration_hours') causes error","Empty rows array rejected (minItems: 1)"],"whenToPreferThis":"Choose this endpoint when you have rainfall observation records that need two specific local transformations — string normalisation on station group labels and numeric row ordering on a selected measurement field — without any live data lookup, prediction, or external enrichment. It is optimised for small-to-medium datasets (up to 200 rows) at very low cost ($0.01 USDC for both reports).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-25T12:32:37.138Z","isFirstParty":false,"canonicalSlug":"rainfall-observations-string-normalisation-numeric-row-ordering-e41d587c"}