{"uid":"cap_ooZWCBNhjv1i-5RlwYR4Z","slug":"building-footprint-observations-record-quality-audit-string-a65728d0","name":"Building Footprint Observations — Record Quality Audit, String Normalisation & Numeric Row Ordering","description":"Building footprint observations — Record quality audit + String normalisation + Numeric row ordering: Record quality audit + String normalisation + Numeric row ordering 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-16-196?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_P5qCDjAvtP5r8hPxDOTmw","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":"Audits record quality, normalises strings, and orders rows numerically for up to 200 building footprint observation records (footprint_m2, height_m) across 3 independent reports.","exampleAgentPrompt":"Can you run a record quality audit, string normalisation, and numeric row ordering on my building footprint observations? I have 50 rows with footprint_m2 and height_m values — please use footprint_m2 as the ordering field.","exampleUseCases":[{"title":"Pre-analysis data quality check","prompt":"I have 120 building footprint observation records with footprint_m2 and height_m columns and I need to check them for quality issues, normalise the station_group strings, and sort them by height_m before I start my analysis — can you run all three reports?"},{"title":"Validating surveyor-submitted building data","prompt":"Our field surveyors submitted 85 building measurement rows and I need to audit record quality, clean up the station group labels, and order everything by footprint_m2 — can you give me those three reports?"},{"title":"Cleaning building dataset before database import","prompt":"Before I import these 200 building footprint observation rows into our database, can you run a quality audit, normalise the station_group strings, and order the records numerically by footprint_m2 so I can spot any issues?"}],"resultDescription":"Three independent analytical reports for the supplied building footprint observation rows: (1) a record quality audit flagging issues such as nulls, out-of-range values, or malformed fields; (2) a string normalisation report for station_group and similar text fields; and (3) a numerically ordered row listing sorted by the selected field (footprint_m2 or height_m). All processing is local with no external lookups.","failureModes":["Exceeding 200 rows returns a validation error","Missing required fields (row_id, date, footprint_m2, height_m, station_group) causes schema rejection","Invalid date format (not YYYY-MM-DD) fails pattern validation","Numeric values outside the allowed range trigger schema errors","Empty rows array is rejected (minItems: 1)"],"whenToPreferThis":"Choose this endpoint when you need a bundled, cost-effective ($0.01 USDC) set of three data quality operations — quality audit, string normalisation, and numeric ordering — on building footprint observations (footprint_m2, height_m) with up to 200 rows, entirely offline without any live data lookups or external predictions.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-30T19:11:51.743Z","isFirstParty":false,"canonicalSlug":"building-footprint-observations-record-quality-audit-string-a65728d0"}