{"uid":"cap_MABzc3-I5b9lw1o5RNDQu","slug":"building-footprint-observations-record-quality-audit-string-f285fe58","name":"Building Footprint Observations — Record Quality Audit + String Normalisation + Secondary-Measure Weighted Mean","description":"Building footprint observations — Record quality audit + String normalisation + Secondary-measure weighted mean: Record quality audit + String normalisation + Secondary-measure weighted mean for supplied building footprint observations records (footprint_m2, height_m). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows","url":"https://market.datapackvibe.com/x402/assistant-ib26-weather-16-205?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_Us_0k-PKZal50FkgBpW_r","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":"Runs three local analytical reports (record quality audit, string normalisation, and secondary-measure weighted mean) on up to 200 rows of building footprint observation data containing footprint_m2 and height_m fields.","exampleAgentPrompt":"Can you run a record quality audit, string normalisation, and weighted mean analysis on these building footprint records? I have up to 50 rows with fields row_id, station_group, date, footprint_m2, and height_m — I want all three reports using footprint_m2 as the primary field.","exampleUseCases":[{"title":"Auditing urban building dataset quality","prompt":"I have a CSV of 120 building footprint observations with columns row_id, station_group, date, footprint_m2, and height_m — can you run a record quality audit plus string normalisation on the station_group field and compute a weighted mean for footprint_m2?"},{"title":"Normalising inconsistent station labels","prompt":"My building dataset has messy station_group names and I need them normalised, plus a quality check on all 80 rows and a weighted mean of height_m across groups — can you run all three reports at once?"},{"title":"Weighted mean summary for footprint measurements","prompt":"I've got 200 rows of building observation records with footprint_m2 and height_m values and I need a weighted mean of footprint_m2, a string normalisation pass, and a data quality audit — can you do all three in one go?"}],"resultDescription":"Returns three independent analytical reports: (1) a record quality audit flagging issues in the supplied rows, (2) a string normalisation report for the station_group field, and (3) a weighted mean of the selected numeric field (footprint_m2 or height_m) using secondary-measure weighting — all computed locally without any external lookups.","failureModes":["Exceeding 200 rows returns a validation error","Missing required fields (row_id, station_group, date, footprint_m2, height_m) causes schema rejection","Invalid date format (non YYYY-MM-DD) fails pattern validation","Providing an invalid field enum value (not footprint_m2 or height_m) causes rejection","Empty rows array returns a minItems validation error"],"whenToPreferThis":"Choose this endpoint when you need three simultaneous local analytical passes — quality audit, string normalisation, and weighted mean — on building footprint datasets of up to 200 rows in a single low-cost call, without needing live external data lookups or predictions.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-31T00:43:19.137Z","isFirstParty":false,"canonicalSlug":"building-footprint-observations-record-quality-audit-string-f285fe58"}