{"uid":"cap_TOgO0SyyFoSX1k5WpBF-u","slug":"building-footprint-observations-numeric-row-ordering-daily-sum-series-f9e9abab","name":"Building Footprint Observations — Numeric Row Ordering + Daily Sum Series","description":"Building footprint observations — Numeric row ordering + Daily sum series: Numeric row ordering + Daily sum series 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-16-114?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_wDUO0SVqT_BIcEIeUyZi1","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 numeric row ordering and daily sum series for up to 200 building footprint observation records (footprint_m2 and height_m fields).","exampleAgentPrompt":"I have a set of building footprint observations with footprint_m2 and height_m values recorded daily across a few station groups — can you rank the rows numerically and also compute the daily sum series for footprint_m2 across up to 200 records?","exampleUseCases":[{"title":"Daily footprint area aggregation","prompt":"I have 150 building footprint records with dates, footprint areas in square meters, and station groups — can you compute the daily sum series for footprint_m2 so I can see total area observed per day?"},{"title":"Ranking building heights across stations","prompt":"I've got a dataset of building observations with height_m values for about 80 buildings across multiple station groups — please give me a numeric row ordering report for height_m so I can see which records rank highest."},{"title":"Dual-report analysis of footprint dataset","prompt":"Here are 200 rows of building footprint observations with row IDs, dates, station groups, footprint_m2, and height_m — I need both a row ordering and a daily sum series report for footprint_m2 in one call."}],"resultDescription":"Two independent analytical reports: (1) a numeric row ordering ranking the supplied building footprint rows, and (2) a daily sum series aggregating the selected field (footprint_m2 or height_m) by date — both computed locally from the supplied data with no external lookups.","failureModes":["Input array exceeds 200 rows — request will be rejected","Missing required fields (row_id, date, station_group, footprint_m2, height_m) cause validation errors","Malformed date strings not matching YYYY-MM-DD pattern cause schema errors","Numeric fields out of supported range cause rejection","Empty rows array (minItems: 1 not met) causes validation failure"],"whenToPreferThis":"Choose this endpoint when you need two specific analytical operations — numeric row ordering and daily sum series — applied simultaneously to a building footprint dataset (footprint_m2 and/or height_m) of up to 200 rows in a single low-cost call. It is ideal for offline, supplied-data analysis with no need for live external data, predictions, or professional assessments.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-30T19:10:26.640Z","isFirstParty":false,"canonicalSlug":"building-footprint-observations-numeric-row-ordering-daily-sum-series-f9e9abab"}