{"uid":"cap_8KdPvtBylKGPQRL9DBleO","slug":"elevation-samples-numeric-row-ordering-missing-value-fill-10307dd2","name":"Elevation Samples — Numeric Row Ordering & Missing-Value Fill","description":"Elevation samples — Numeric row ordering + Explicit missing-value fill: Numeric row ordering + 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-13-124?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_yJZyRkBteyUKnlkvQga9S","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":"Applies numeric row ordering and explicit missing-value fill (zero, mean, or median) to a supplied batch of elevation sample records containing elevation_m and sample_weight fields.","exampleAgentPrompt":"I have a batch of up to 50 elevation sample records with some null elevation_m values — can you sort them numerically by row and fill the missing elevation_m values using the median method?","exampleUseCases":[{"title":"Clean elevation survey data gaps","prompt":"I've got 80 elevation readings from our field survey with several missing elevation_m entries — please sort the rows numerically and fill those gaps using the median of the existing values."},{"title":"Impute missing sample weights with zero","prompt":"Here are 30 elevation sample records where some sample_weight values are null — sort them by row order and fill the missing sample_weight fields with zero."},{"title":"Prepare elevation dataset with mean imputation","prompt":"I need to prep my 120-row elevation dataset for analysis — sort the records numerically and replace any null elevation_m values with the mean of all available measurements."}],"resultDescription":"Returns two analytical reports for the submitted dataset (up to 200 rows), covering numerically ordered rows and explicitly filled missing values in the target field (elevation_m or sample_weight) using the chosen fill method (zero, mean, or median).","failureModes":["More than 200 rows submitted — exceeds the maxItems limit","Missing required fields (row_id, station_group, date, elevation_m, sample_weight) in any row","Invalid date format — must match YYYY-MM-DD pattern","Invalid field enum value — must be 'elevation_m' or 'sample_weight'","Invalid method enum value — must be 'zero', 'mean', or 'median'","Payment not included or insufficient — requires 0.01 USDC via x402"],"whenToPreferThis":"Choose this endpoint when you have a local batch of elevation sample records (up to 200 rows) with missing numeric values and need both numeric row ordering and explicit missing-value imputation (zero, mean, or median) in a single call with no external data lookup or live API dependency.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-26T18:51:05.043Z","isFirstParty":false,"canonicalSlug":"elevation-samples-numeric-row-ordering-missing-value-fill-10307dd2"}