{"uid":"cap_CBX3vIpv8P7lax0M5V81h","slug":"humidity-observations-string-normalisation-category-frequencies-10afd824","name":"Humidity Observations — String Normalisation + Category Frequencies","description":"Humidity observations — String normalisation + Category frequencies: String normalisation + Category frequencies for supplied humidity observations records (humidity_percent, observation_count). 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-04-024?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","station_group","date","humidity_percent","observation_count"],"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},"humidity_percent":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"observation_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","station_group":"group-a","humidity_percent":10,"observation_count":1},{"date":"2026-10-02","row_id":"row-2","station_group":"group-b","humidity_percent":20,"observation_count":2},{"date":"2026-10-03","row_id":"row-3","station_group":"group-a","humidity_percent":15,"observation_count":3},{"date":"2026-10-04","row_id":"row-4","station_group":"group-b","humidity_percent":30,"observation_count":4}],"maxItems":200,"minItems":1}}},"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_99n3x9kLRQguiyMoWuM8R","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 string normalisation and category frequency analysis on up to 200 rows of humidity observation records (humidity_percent, observation_count) using local analytical engines.","exampleAgentPrompt":"Can you run string normalisation and category frequency analysis on my humidity observation records? I have rows for station groups A and B from October 2026 with humidity_percent and observation_count values — up to 50 rows total.","exampleUseCases":[{"title":"Weather station humidity distribution audit","prompt":"I have humidity readings from two station groups over the past month — can you normalize the string fields and tell me the category frequency breakdown for humidity_percent and observation_count across all 120 rows?"},{"title":"Quality check on humidity sensor data","prompt":"Can you run string normalisation and category frequency analysis on my humidity sensor dataset? It has station_group labels, dates, humidity_percent, and observation_count for about 80 rows and I want to see how the values distribute across categories."},{"title":"Summarizing multi-site humidity observations","prompt":"I've collected humidity observations from several monitoring sites for Q3 — can you normalize the strings and compute category frequencies for the humidity_percent and observation_count columns across my 150 records?"}],"resultDescription":"Returns two analytical reports for the supplied rows: (1) a string normalisation report that standardises text fields such as station_group, and (2) a category frequency report showing how often each distinct category or value range appears across humidity_percent and observation_count fields. Both reports are generated locally without external lookups.","failureModes":["More than 200 rows supplied — request rejected with row limit error","Missing required fields (row_id, date, humidity_percent, observation_count) cause validation failure","Invalid date format (not YYYY-MM-DD) triggers schema validation error","Non-numeric values in humidity_percent or observation_count fields cause parse errors","Empty rows array returns error due to minItems:1 constraint"],"whenToPreferThis":"Choose this endpoint when you have up to 200 rows of humidity observation data and need both string normalisation of categorical fields and frequency distribution analysis in a single low-cost call ($0.01 USDC). It is ideal for offline/batch analytical passes on weather station data where no live lookups, predictions, or external actions are needed.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-31T00:43:01.736Z","isFirstParty":false,"canonicalSlug":"humidity-observations-string-normalisation-category-frequencies-10afd824"}