{"uid":"cap_tPLkL6APHUY2XmhEScFs9","slug":"building-footprint-observations-exact-row-deduplication-iqr-outlier-7b5866b9","name":"Building Footprint Observations — Exact Row Deduplication + IQR Outlier Flags","description":"Building footprint observations — Exact row deduplication + IQR outlier flags: Exact row deduplication + IQR outlier flags 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-16-049?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_YsNBdN9bMOseJkjNHvnky","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":"Deduplicates exact rows and flags IQR-based outliers in building footprint observation data (footprint_m2, height_m) for up to 200 records, producing 2 analytical reports.","exampleAgentPrompt":"Can you deduplicate and flag IQR outliers in this set of building footprint observations — I have up to 200 rows with footprint_m2 and height_m values, and I want 2 analytical reports checking the footprint_m2 field?","exampleUseCases":[{"title":"Building survey data cleanup","prompt":"I have a batch of 150 building survey records with footprint_m2 and height_m columns and I suspect there are duplicate entries and outlier measurements — can you run exact deduplication and IQR outlier flagging on the footprint_m2 field and give me both reports?"},{"title":"Height anomaly detection in construction dataset","prompt":"Run IQR outlier detection on the height_m field across these 80 building observation rows and also deduplicate any exact duplicate records — I need the two analytical reports so I can clean up the dataset before ingesting it."},{"title":"Real estate data quality audit","prompt":"Before I import these 200 building footprint records into our database, can you check for exact duplicate rows and flag any statistical outliers in the footprint_m2 measurements using IQR analysis? I want both quality reports back."}],"resultDescription":"Returns 2 independent analytical reports: (1) an exact row deduplication report identifying duplicate records across the supplied rows, and (2) an IQR outlier flagging report identifying statistically anomalous values in the selected field (footprint_m2 or height_m) — all computed locally with no external lookups.","failureModes":["Empty rows array or missing required row fields (row_id, station_group, date) returns validation error","Exceeding 200 row limit causes rejection","Malformed date strings not matching YYYY-MM-DD pattern cause schema validation failure","Null values in the selected numeric field may reduce outlier detection accuracy","Invalid field enum value (not footprint_m2 or height_m) causes rejection"],"whenToPreferThis":"Choose this endpoint when you need fast, local statistical data cleaning on building footprint observation datasets — specifically when you want both exact duplicate detection and IQR-based outlier flagging in a single low-cost call ($0.01 USDC for 2 reports). Ideal for pre-ingestion data quality audits on construction, real estate, or urban survey datasets with up to 200 rows containing footprint and height measurements.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T12:37:43.595Z","isFirstParty":false,"canonicalSlug":"building-footprint-observations-exact-row-deduplication-iqr-outlier-7b5866b9"}