{"uid":"cap_WKd7f7W51cRcD5Sj204xC","slug":"building-footprint-observations-numeric-interval-filter-two-measure-3c517888","name":"Building Footprint Observations — Numeric Interval Filter + Two-Measure Correlation","description":"Building footprint observations — Numeric interval filter + Two-measure correlation: Numeric interval filter + Two-measure correlation 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-16-131?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"},"maximum":{"type":"number","default":100,"maximum":1000000000000,"minimum":-1000000000000},"minimum":{"type":"number","default":0,"maximum":1000000000000,"minimum":-1000000000000}}},"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_8Mlp25jofjDdsWtsGZ0sk","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":"Filters building footprint observation rows by a numeric interval and computes a two-measure correlation report between footprint_m2 and height_m for up to 200 supplied rows.","exampleAgentPrompt":"I have a dataset of building footprint observations with footprint_m2 and height_m values — can you filter the records where footprint_m2 is between 50 and 300, and also run a correlation report between footprint_m2 and height_m across all the rows?","exampleUseCases":[{"title":"Urban density correlation study","prompt":"I've got 150 building records with footprint area and height measurements. Filter the ones where height_m is between 10 and 80 meters and tell me how correlated height_m is with footprint_m2 across the whole set."},{"title":"Filtering oversized footprints for compliance review","prompt":"Run an interval filter on my building footprint data — I only want rows where footprint_m2 falls between 200 and 500 — and also give me a two-measure correlation between footprint_m2 and height_m for those buildings."},{"title":"Real estate portfolio measurement analysis","prompt":"Here are my building observation records for station group 'portfolio-east' across October 2026. Can you filter to buildings with footprint_m2 between 0 and 150 and compute the correlation between building footprint and height?"}],"resultDescription":"Returns two analytical reports: (1) a numeric interval filter report listing which rows fall within the specified min/max range for the chosen field (footprint_m2 or height_m), and (2) a two-measure correlation report quantifying the statistical relationship between footprint_m2 and height_m across the supplied rows. Up to 200 input rows are supported per call.","failureModes":["More than 200 rows submitted — request will be rejected or truncated","Missing required fields (row_id, date, station_group, footprint_m2, height_m) cause validation errors","Date strings not matching YYYY-MM-DD pattern will fail schema validation","Minimum value greater than maximum value may produce empty filter results","Null values in footprint_m2 or height_m may reduce correlation sample size or cause computation errors","Invalid field enum value (not footprint_m2 or height_m) will fail validation"],"whenToPreferThis":"Choose this endpoint when you have up to 200 building footprint observation records with both footprint_m2 and height_m fields and need both a numeric range filter and a two-measure correlation in a single call. It is ideal for offline/batch analytical work on supplied data rather than live lookups or predictions. Prefer this over general-purpose statistics tools when you specifically need interval filtering paired with a correlation report on building measurement data within a single $0.01 call.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-25T12:31:40.460Z","isFirstParty":false,"canonicalSlug":"building-footprint-observations-numeric-interval-filter-two-measure-3c517888"}