{"uid":"cap_lcAYc6-kkErw9_oPGPHuW","slug":"humidity-observations-exact-row-deduplication-numeric-row-ordering-c6d12e72","name":"Humidity Observations — Exact Row Deduplication + Numeric Row Ordering","description":"Humidity observations — Exact row deduplication + Numeric row ordering: Exact row deduplication + Numeric row ordering 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-04-042?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},"field":{"enum":["humidity_percent","observation_count"],"type":"string","default":"humidity_percent"}}},"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_gIlSvJGpFty__ejDHlyGs","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":"Deduplicates and numerically orders up to 200 humidity observation records across two analytical reports using local engines.","exampleAgentPrompt":"Can you deduplicate and numerically order my humidity observation records — I have about 50 rows with fields like humidity_percent and observation_count — and give me both reports?","exampleUseCases":[{"title":"Clean duplicate weather station readings","prompt":"I have a batch of humidity readings from multiple station groups that might have duplicate entries. Can you run exact row deduplication and numeric ordering on them? Here are the rows with their row_id, station_group, date, humidity_percent, and observation_count fields."},{"title":"Prepare humidity dataset for analysis pipeline","prompt":"Before I feed my humidity observations into our analytics pipeline, I need to deduplicate exact duplicate rows and sort them by observation_count numerically. Can you process these 120 humidity records and give me both the deduplication and ordering reports?"},{"title":"Audit sensor data for data quality","prompt":"We collected humidity_percent readings from several weather stations over the past month and suspect some rows got duplicated during ingestion. Can you run exact deduplication plus numeric row ordering on these records so I can see what was cleaned up?"}],"resultDescription":"Two analytical reports: (1) an exact row deduplication report identifying and removing duplicate rows from the submitted humidity observations, and (2) a numeric row ordering report sorting the records by the selected numeric field (humidity_percent or observation_count). Both reports are generated locally without any live lookup or external data.","failureModes":["Exceeds 200-row limit — request rejected","Missing required fields (row_id, date, humidity_percent, observation_count) — validation error","Invalid date format (must be YYYY-MM-DD) — schema validation failure","Payment of 0.01 USDC not completed — request blocked","Empty rows array — minimum 1 row required"],"whenToPreferThis":"Choose this endpoint when you have up to 200 humidity observation records and need both exact duplicate row removal and numeric field ordering in a single low-cost call ($0.01 USDC). It is ideal for preprocessing weather/humidity datasets before further analysis when no live data lookup, prediction, or external integration is needed — just local analytical computation on your supplied data.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T06:37:14.675Z","isFirstParty":false,"canonicalSlug":"humidity-observations-exact-row-deduplication-numeric-row-ordering-c6d12e72"}