{"uid":"cap_CqYnKRwbuvV9A6lzJc3bp","slug":"building-footprint-observations-daily-sum-secondary-measure-weighted-f977ecc9","name":"Building Footprint Observations — Daily Sum + Secondary-Measure Weighted Mean","description":"Building footprint observations — Daily sum series + Secondary-measure weighted mean: Daily sum series + Secondary-measure weighted mean 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-16-142?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__DpTOD3d4sFvluSyyVjcY","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 a daily sum time series and a secondary-measure weighted mean for up to 200 supplied building footprint observation records (footprint_m2, height_m).","exampleAgentPrompt":"I have a batch of building footprint records — up to 50 rows with date, station_group, footprint_m2, and height_m values — can you run a daily sum series and a height-weighted mean on them using the footprint_m2 field?","exampleUseCases":[{"title":"Daily footprint totals for urban planning","prompt":"I have 120 building observation records with dates, footprint sizes in square meters, and heights in meters across several station groups — can you generate a daily sum time series and a weighted mean report for the footprint_m2 field so I can see how total covered area varies day by day?"},{"title":"Height-weighted analysis for construction dataset","prompt":"I've got a dataset of 80 building records with dates, row IDs, station groups, footprint areas, and heights — please run a daily sum series and a height_m weighted mean on these so I can understand the distribution of building heights weighted by footprint size."},{"title":"Station group aggregation for real estate portfolio","prompt":"Can you take my 200 building footprint observations — each with a date, station group, footprint_m2, and height_m — and compute both the daily sum series and the secondary-measure weighted mean for the footprint_m2 field across all station groups?"}],"resultDescription":"Returns two analytical reports for the supplied building footprint records: (1) a daily sum time series showing totals of the selected field (footprint_m2 or height_m) per day, and (2) a secondary-measure weighted mean using the other field as the weighting variable. Both reports are computed locally from the supplied data with no external lookups.","failureModes":["More than 200 rows submitted — request rejected at input validation","Missing required fields (row_id, station_group, date, footprint_m2, height_m) — validation error","Invalid date format (must be YYYY-MM-DD) — pattern validation failure","Numeric values out of allowed range (±1,000,000,000,000) — schema rejection","Empty rows array — minItems:1 violation","Invalid field enum value (must be footprint_m2 or height_m) — enum validation error"],"whenToPreferThis":"Choose this endpoint when you have structured building footprint observation records (with footprint_m2 and height_m fields) and need both a daily aggregated sum time series AND a weighted mean statistic in a single API call. It is ideal for offline/batch analytical workflows where no live data lookup or external enrichment is needed, and cost efficiency matters ($0.01 for two reports on up to 200 rows).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-25T12:32:25.952Z","isFirstParty":false,"canonicalSlug":"building-footprint-observations-daily-sum-secondary-measure-weighted-f977ecc9"}