{"uid":"cap_Lofud25QgflmAGtK6Mfy4","slug":"building-footprint-observations-category-frequencies-numeric-row-f40140d2","name":"Building Footprint Observations — Category Frequencies & Numeric Row Ordering","description":"Building footprint observations — Category frequencies + Numeric row ordering: Category frequencies + Numeric row ordering 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-16-100?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"}}},"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_cpPOQ9yaAH68CgRIzYdpM","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":"Computes category frequencies and numeric row ordering for up to 200 building footprint observation records (footprint_m2, height_m) using local analytical engines.","exampleAgentPrompt":"Analyze these 4 building footprint records — row-1 (group-a, 2026-10-01, footprint 10 m², height 1 m), row-2 (group-b, 2026-10-02, footprint 20 m², height 2 m), row-3 (group-a, 2026-10-03, footprint 15 m², height 3 m), row-4 (group-b, 2026-10-04, footprint 30 m², height 4 m) — give me category frequencies for the station groups and numeric row ordering by footprint_m2.","exampleUseCases":[{"title":"Urban building dataset group summary","prompt":"I have 50 building observation records from a city survey with footprint and height measurements across three station groups — can you count how often each group appears and rank the rows numerically by footprint_m2?"},{"title":"Property portfolio height ranking","prompt":"Here are 120 rows of building data with row IDs, dates, station groups, and height_m values — rank them numerically by height and also tell me the frequency of each station group in the dataset."},{"title":"Construction site footprint analysis","prompt":"I've got records for 30 construction sites including their footprint sizes in square meters and station group labels — give me a frequency breakdown by station group and order the rows by footprint_m2."}],"resultDescription":"Returns two analytical reports for the supplied building footprint rows: (1) category frequency counts showing how often each station_group value appears, and (2) numeric row ordering ranked by the selected field (footprint_m2 or height_m). Both reports are computed locally without any external lookups.","failureModes":["More than 200 rows submitted — exceeds maximum row limit","Missing required fields (row_id, station_group, date, footprint_m2, height_m) — validation error","Invalid date format (must match YYYY-MM-DD pattern) — schema rejection","Invalid field selector (must be footprint_m2 or height_m) — enum error","Empty rows array — minItems constraint violation","Non-numeric values in footprint_m2 or height_m where number expected — type error"],"whenToPreferThis":"Choose this endpoint when you have up to 200 building footprint observation records and need both a frequency count by categorical station group and a numeric ordering/ranking of rows by a numeric field (footprint_m2 or height_m). It is ideal for offline/local computation with no external dependencies, real-time lookups, or predictions — purely analytical reporting on supplied data at a low flat rate of $0.01 USDC for both reports together.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-24T12:56:56.135Z","isFirstParty":false,"canonicalSlug":"building-footprint-observations-category-frequencies-numeric-row-f40140d2"}