{"uid":"cap_ueIhxGaFxwuoEFDiz4AIT","slug":"building-footprint-observations-record-quality-audit-secondary-f10c2eb6","name":"Building Footprint Observations — Record Quality Audit + Secondary-Measure Weighted Mean","description":"Building footprint observations — Record quality audit + Secondary-measure weighted mean: Record quality audit + 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-16-016?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_5qPTbxePZJrqThlk_0D-M","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 a record quality audit and a secondary-measure weighted mean on up to 200 rows of building footprint observations (footprint_m2, height_m), returning two analytical reports.","exampleAgentPrompt":"Can you audit the data quality of these building footprint records and compute a weighted mean of footprint_m2 — I have 4 rows: row-1 (group-a, 2026-10-01, footprint 10 m², height 1 m), row-2 (group-b, 2026-10-02, footprint 20 m², height 2 m), row-3 (group-a, 2026-10-03, footprint 15 m², height 3 m), row-4 (group-b, 2026-10-04, footprint 30 m², height 4 m)?","exampleUseCases":[{"title":"Urban building dataset quality check","prompt":"I have 50 building observation records with footprint and height measurements collected across different station groups last month — can you run a quality audit on them and also give me a weighted mean of the footprint_m2 field?"},{"title":"Construction project data validation","prompt":"Before we submit this dataset of 120 building footprint rows to our client, can you audit the record quality and compute a height-weighted mean of the footprint area so we can include it in the summary report?"},{"title":"Research dataset secondary-measure analysis","prompt":"I'm analyzing building footprints for a research paper — can you check data quality and give me the weighted mean of height_m across my 80 observation rows organized by station group?"}],"resultDescription":"Returns two independent analytical reports: (1) a record quality audit flagging issues such as missing values, out-of-range measurements, or malformed records across the supplied building footprint rows; and (2) a secondary-measure weighted mean computed over the chosen field (footprint_m2 or height_m) for the supplied dataset, up to 200 rows.","failureModes":["More than 200 rows submitted — request rejected with validation error","Missing required fields (row_id, date, station_group, footprint_m2, height_m) cause row-level errors","Invalid date format (not YYYY-MM-DD) triggers schema validation failure","Null values in both measurement fields may degrade or nullify weighted mean calculation","Payment of 0.01 USDC not provided or rejected — request blocked"],"whenToPreferThis":"Choose this endpoint when you need both a data quality audit and a secondary-measure weighted mean on building footprint observation records (footprint_m2 and height_m) in a single call. It is specifically designed for building/construction domain tabular data and bundles two reports for $0.01, making it cost-efficient compared to calling two separate analytical endpoints. Prefer it when your dataset is 200 rows or fewer and you want offline, local-engine analytics with no external lookups.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T12:37:59.249Z","isFirstParty":false,"canonicalSlug":"building-footprint-observations-record-quality-audit-secondary-f10c2eb6"}