{"uid":"cap_uMFPQqABVgf5Aa6LJrESb","slug":"building-footprint-observations-numeric-row-ordering-explicit-missing-91704ce6","name":"Building Footprint Observations — Numeric Row Ordering + Explicit Missing-Value Fill","description":"Building footprint observations — Numeric row ordering + Explicit missing-value fill: Numeric row ordering + Explicit missing-value fill for supplied building footprint observations records (footprint_m2, height_m). 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-16-124?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","station_group","date","footprint_m2","height_m"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"height_m":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"footprint_m2":{"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","height_m":1,"footprint_m2":10,"station_group":"group-a"},{"date":"2026-10-02","row_id":"row-2","height_m":2,"footprint_m2":20,"station_group":"group-b"},{"date":"2026-10-03","row_id":"row-3","height_m":3,"footprint_m2":15,"station_group":"group-a"},{"date":"2026-10-04","row_id":"row-4","height_m":4,"footprint_m2":30,"station_group":"group-b"}],"maxItems":200,"minItems":1},"field":{"enum":["footprint_m2","height_m"],"type":"string","default":"footprint_m2"},"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_cFwlljAep3AXkVJ-qakpB","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":"Sorts building footprint observation rows numerically and fills missing values in footprint_m2 or height_m fields using zero, mean, or median imputation, returning 2 analytical reports for up to 200 rows.","exampleAgentPrompt":"I have a dataset of up to 200 building footprint observations with row_id, station_group, date, footprint_m2, and height_m — some footprint_m2 values are missing. Can you sort the rows numerically and fill in those missing footprint_m2 values using median imputation, then give me two analytical reports?","exampleUseCases":[{"title":"Cleaning missing footprint data for urban study","prompt":"I've got 150 building observation records with some null footprint_m2 values — can you sort them by row number and fill in the blanks using median imputation? I need both analytical reports back."},{"title":"Zero-filling missing heights for construction audit","prompt":"I have a building dataset with missing height_m entries — please sort all rows numerically and replace the missing height values with zero so I can run a consistent audit across all 80 records."},{"title":"Mean imputation for grouped station building records","prompt":"I'm analyzing footprint measurements grouped by station across two groups, and some footprint_m2 readings are null. Can you order the rows and fill missing footprint_m2 values using mean imputation across my 60 records?"}],"resultDescription":"Two analytical reports covering the submitted building footprint observation records, with rows sorted in numeric order and missing values in the selected field (footprint_m2 or height_m) filled using the chosen method (zero, mean, or median). No external data is fetched; all processing uses local analytical engines on the supplied rows.","failureModes":["More than 200 rows submitted — exceeds maxItems limit","Missing required fields (row_id, station_group, date, footprint_m2, height_m) in any row","Invalid date format not matching YYYY-MM-DD pattern","Invalid enum value for field or method parameters","Numeric values outside allowed range (-1e12 to 1e12)"],"whenToPreferThis":"Choose this endpoint when you have building footprint observation data (up to 200 rows) with missing footprint_m2 or height_m values that need systematic imputation (zero, mean, or median) combined with numeric row ordering, and you need two packaged analytical reports from a single low-cost call. Prefer this over general-purpose data tools when working specifically with building footprint and height measurements in a structured row format.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-30T19:10:31.338Z","isFirstParty":false,"canonicalSlug":"building-footprint-observations-numeric-row-ordering-explicit-missing-91704ce6"}