{"uid":"cap_NKzx5c2R-MbTikx5mKGW9","slug":"building-footprint-observations-string-normalisation-equal-width-68df9904","name":"Building Footprint Observations — String Normalisation + Equal-Width Histogram","description":"Building footprint observations — String normalisation + Equal-width histogram: String normalisation + Equal-width histogram 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-16-031?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"bins":{"type":"integer","default":5,"maximum":30,"minimum":1},"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_6fZcnKHfHZFxuM_wtdG6q","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 string normalisation and equal-width histogram analysis on up to 200 building footprint observation records (footprint_m2 and height_m fields).","exampleAgentPrompt":"Run string normalisation and an equal-width histogram with 10 bins on my building footprint observations — I have 50 rows with footprint_m2 and height_m values, and I want the histogram on the footprint_m2 field.","exampleUseCases":[{"title":"Urban survey footprint distribution","prompt":"I have 120 building footprint records from an urban survey with footprint_m2 and height_m columns. Can you run string normalisation and produce a 10-bin equal-width histogram on the footprint_m2 field?"},{"title":"Architect dataset height binning","prompt":"I've got 80 rows of building data from our architecture project — each has a row_id, date, station_group, footprint_m2 and height_m. Please normalise the strings and generate a 5-bin histogram on height_m."},{"title":"Real estate portfolio footprint analysis","prompt":"We have 200 building records across two station groups collected during Q4 2025. Run string normalisation and a 15-bin equal-width histogram on the footprint_m2 field so I can see how footprint sizes are distributed."}],"resultDescription":"Two analytical reports: (1) a string normalisation report cleaning and standardising text fields in the building footprint records, and (2) an equal-width histogram report showing bin boundaries and frequency counts for the selected numeric field (footprint_m2 or height_m), both computed locally against the supplied data.","failureModes":["More than 200 rows submitted — request rejected with maxItems validation error","Missing required fields (row_id, date, footprint_m2, height_m, station_group) — schema validation error","Invalid date format (not YYYY-MM-DD) — pattern validation error","bins value outside 1–30 range — schema validation error","All values null for selected field — histogram cannot be computed","Invalid field enum value — validation error"],"whenToPreferThis":"Choose this endpoint when you need both string normalisation and equal-width histogram analysis on building footprint observation data (footprint_m2, height_m) in a single low-cost call. It is ideal for offline/local analytical processing of up to 200 rows without requiring external lookups or live data sources. Prefer it over general-purpose analytics when your data is specifically structured as building footprint observations with the expected schema fields.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-31T00:43:27.635Z","isFirstParty":false,"canonicalSlug":"building-footprint-observations-string-normalisation-equal-width-68df9904"}