{"uid":"cap_ckp-05NGlEn538kbQTnTN","slug":"building-footprint-observations-string-normalisation-exact-row-9b3aabaa","name":"Building Footprint Observations — String Normalisation & Exact Row Deduplication","description":"Building footprint observations — String normalisation + Exact row deduplication: String normalisation + Exact row deduplication 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-16-020?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}}},"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_O5sBTxF7E2vmysvQQdGdn","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":"Cleans and deduplicates up to 200 building footprint observation records (footprint_m2, height_m) by normalising strings and removing exact duplicate rows, returning 2 analytical reports.","exampleAgentPrompt":"Can you clean up my building footprint observation records by normalising the strings and removing any exact duplicate rows? I have about 50 rows with fields like row_id, station_group, date, footprint_m2, and height_m — I need 2 clean analytical reports back.","exampleUseCases":[{"title":"Pre-analysis building dataset cleanup","prompt":"I have 120 building footprint observation records with footprint_m2 and height_m values that need string normalisation and exact duplicate removal before I run any analysis — can you clean them and give me 2 reports?"},{"title":"Construction survey data deduplication","prompt":"We collected building height and footprint measurements across several station groups and dates, but there may be duplicate entries. Can you deduplicate the rows exactly and normalise the strings across all records?"},{"title":"Real estate data quality audit","prompt":"Before we load our building footprint observations into the database, can you run string normalisation and exact row deduplication on these 80 records — each has a row_id, date, station_group, footprint_m2, and height_m — and give us the 2 standard reports?"}],"resultDescription":"Two analytical reports covering: (1) string-normalised building footprint observation records with standardised text fields, and (2) an exact row deduplication report identifying and removing fully duplicate rows from the supplied dataset of up to 200 rows.","failureModes":["Exceeding 200 rows returns a validation error","Missing required fields (row_id, date, footprint_m2, height_m, station_group) causes rejection","Invalid date format (not YYYY-MM-DD) triggers a schema validation error","Null or out-of-range numeric values may produce incomplete reports","Payment failure via x402 protocol prevents processing"],"whenToPreferThis":"Choose this endpoint when you have building footprint observation data (footprint_m2 and height_m fields) that needs lightweight, local data cleaning — specifically string normalisation and exact duplicate row removal — without any external lookups, predictions, or professional assessments. Ideal for pre-processing pipelines before loading building data into databases or analytics systems. Best suited for batches of up to 200 rows at very low cost ($0.01 USDC for 2 reports).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-25T12:31:43.496Z","isFirstParty":false,"canonicalSlug":"building-footprint-observations-string-normalisation-exact-row-9b3aabaa"}