{"uid":"cap_3JbwpVKhVkqmzjHgb2QSM","slug":"elevation-samples-exact-row-deduplication-explicit-missing-value-fill-579faa60","name":"Elevation Samples — Exact Row Deduplication + Explicit Missing-Value Fill","description":"Elevation samples — Exact row deduplication + Explicit missing-value fill: Exact row deduplication + Explicit missing-value fill for supplied elevation samples records (elevation_m, sample_weight). 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-13-054?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","station_group","date","elevation_m","sample_weight"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"elevation_m":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"sample_weight":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"station_group":{"type":"string","default":"","maxLength":80}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","elevation_m":10,"sample_weight":1,"station_group":"group-a"},{"date":"2026-10-02","row_id":"row-2","elevation_m":20,"sample_weight":2,"station_group":"group-b"},{"date":"2026-10-03","row_id":"row-3","elevation_m":15,"sample_weight":3,"station_group":"group-a"},{"date":"2026-10-04","row_id":"row-4","elevation_m":30,"sample_weight":4,"station_group":"group-b"}],"maxItems":200,"minItems":1},"field":{"enum":["elevation_m","sample_weight"],"type":"string","default":"elevation_m"},"method":{"enum":["zero","mean","median"],"type":"string","default":"median"}}},"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_JQ5UFiatIu51pSEMQve_b","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 exact rows and fills missing values (zero, mean, or median) for elevation sample records containing elevation_m and sample_weight fields, producing 2 analytical reports per call.","exampleAgentPrompt":"Clean my elevation sample dataset by removing exact duplicate rows and filling any missing elevation_m values using the median method — I have about 50 rows with station_group, date, and sample_weight fields included.","exampleUseCases":[{"title":"Cleaning weather station elevation records","prompt":"I have 120 rows of weather station elevation samples with some duplicate entries and several null elevation_m values — can you deduplicate them exactly and fill the missing elevation_m values using the mean method?"},{"title":"Preparing survey data with zero-filled weights","prompt":"My elevation survey dataset has up to 80 rows with missing sample_weight values. Please remove any exact duplicate rows and fill those missing sample_weight fields with zero so I can run my analysis."},{"title":"Deduplicating elevation samples before modeling","prompt":"Before I run my terrain model, can you take these 200 elevation sample records, strip out any exact duplicate rows, and fill any missing elevation_m values using the median?"}],"resultDescription":"Returns 2 analytical reports covering (1) exact row deduplication results showing which rows were removed and the cleaned dataset, and (2) the missing-value fill results showing which cells were imputed and their replacement values, all computed locally without any external lookup or live data.","failureModes":["Empty rows array returns validation error","More than 200 rows exceeds the maximum and is rejected","Invalid date format (not YYYY-MM-DD) causes schema validation failure","Invalid fill method enum value (not zero, mean, or median) is rejected","Invalid field enum value (not elevation_m or sample_weight) is rejected","All rows are duplicates resulting in an empty deduplicated output","Payment of 0.01 USDC not provided causes 402 response"],"whenToPreferThis":"Choose this endpoint when you need to locally clean a batch of up to 200 elevation sample records by removing exact duplicate rows and imputing missing numeric values (elevation_m or sample_weight) with zero, mean, or median — without any external data lookup, prediction, or live data dependency. Prefer this over general-purpose data-cleaning tools when working specifically with elevation/sample_weight structured records and needing two bundled analytical reports in one low-cost call.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-29T13:17:10.876Z","isFirstParty":false,"canonicalSlug":"elevation-samples-exact-row-deduplication-explicit-missing-value-fill-579faa60"}