{"id":1047159,"recorded_at":"2026-10-29T18:33:34.089246Z","observed_at":"2026-10-29T18:33:34.089210Z","subject_kind":"source_record","subject":"x402_bazaar:https://market.datapackvibe.com/x402/assistant-ib26-weather-16-204","kind":"listing","method":"sync.x402_bazaar/1","body":{"endpoints":[["x402","https://market.datapackvibe.com/x402/assistant-ib26-weather-16-204"]],"name":"market.datapackvibe.com/x402/assistant-ib26-weather-16-204","owner_address":"0x8bc2aecdd86097f74a1a5fa17764108d9a683c8c","raw":{"accepts":[{"amount":"10000","asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","extra":{"name":"USD Coin","version":"2"},"maxTimeoutSeconds":300,"network":"eip155:8453","payTo":"0x8bc2AECdD86097F74a1a5fa17764108D9a683C8C","scheme":"exact"}],"description":"Building footprint observations — Record quality audit + String normalisation + Two-measure correlation: Record quality audit + String normalisation + Two-measure correlation 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.","extensions":{"bazaar":{"info":{"input":{"body":{"rows":[{"date":"2026-10-01","footprint_m2":10,"height_m":1,"row_id":"row-1","station_group":"group-a"},{"date":"2026-10-02","footprint_m2":20,"height_m":2,"row_id":"row-2","station_group":"group-b"},{"date":"2026-10-03","footprint_m2":15,"height_m":3,"row_id":"row-3","station_group":"group-a"},{"date":"2026-10-04","footprint_m2":30,"height_m":4,"row_id":"row-4","station_group":"group-b"}]},"bodyType":"json","method":"POST","type":"http"},"output":{"example":{"files":[],"order_id":"ord_example","result":{"completed":true,"workflow":"ib26-weather-16-204"},"sku":"assistant-ib26-weather-16-204","status":"delivered"},"type":"json"}},"schema":{"$schema":"https://json-schema.org/draft/2020-12/schema","properties":{"input":{"additionalProperties":false,"properties":{"body":{"additionalProperties":false,"properties":{"rows":{"default":[{"date":"2026-10-01","footprint_m2":10,"height_m":1,"row_id":"row-1","station_group":"group-a"},{"date":"2026-10-02","footprint_m2":20,"height_m":2,"row_id":"row-2","station_group":"group-b"},{"date":"2026-10-03","footprint_m2":15,"height_m":3,"row_id":"row-3","station_group":"group-a"},{"date":"2026-10-04","footprint_m2":30,"height_m":4,"row_id":"row-4","station_group":"group-b"}],"items":{"additionalProperties":false,"properties":{"date":{"default":"","maxLength":10,"pattern":"^\\d{4}-\\d{2}-\\d{2}$","type":"string"},"footprint_m2":{"maximum":1000000000000,"minimum":-1000000000000,"type":["number","null"]},"height_m":{"maximum":1000000000000,"minimum":-1000000000000,"type":["number","null"]},"row_id":{"default":"","maxLength":80,"minLength":1,"type":"string"},"station_group":{"default":"","maxLength":80,"type":"string"}},"required":["row_id","station_group","date","footprint_m2","height_m"],"type":"object"},"maxItems":200,"minItems":1,"type":"array"}},"required":["rows"],"type":"object"},"bodyType":{"enum":["json","form-data","text"],"type":"string"},"method":{"enum":["POST"],"type":"string"},"type":{"const":"http","type":"string"}},"required":["type","method","bodyType","body"],"type":"object"},"output":{"properties":{"example":{"type":"object"},"type":{"type":"string"}},"required":["type"],"type":"object"}},"required":["input"],"type":"object"}}},"lastUpdated":"2026-10-29T15:18:28.996Z","quality":{"l30DaysTotalCalls":1,"l30DaysUniquePayers":1,"lastCalledAt":"2026-10-29T15:18:28.731Z"},"resource":"https://market.datapackvibe.com/x402/assistant-ib26-weather-16-204","tags":["ai","weather-data","workflow"],"type":"http","x402Version":2},"source":"x402_bazaar","summary":"Building footprint observations — Record quality audit + String normalisation + Two-measure correlation: Record quality audit + String normalisation + Two-measure correlation 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."},"body_sha256":"b1a89550957e426c877de20b873c4dcf7c315aff5fe6e0bd06aa49d2f6360805","prev_id":null,"leaf":"0xc97feb8878ab942962868f3bfea9f61bcd0ce51201f620070e0d0f2b41df842f","leaf_text":"{\"body\":\"b1a89550957e426c877de20b873c4dcf7c315aff5fe6e0bd06aa49d2f6360805\",\"id\":1047159,\"kind\":\"listing\",\"method\":\"sync.x402_bazaar/1\",\"observed_us\":1793298814089210,\"prev\":null,\"subject\":\"x402_bazaar:https://market.datapackvibe.com/x402/assistant-ib26-weather-16-204\",\"subject_kind\":\"source_record\"}","day":{"day":"2026-10-29","leaves":242798,"root":"0xc050555c6b023f2aefb6536efb9f0760b92c30a0d06c572b7daf63db259ea17c","chained":"0x4cde8bae2042512e1bec11650628f0293556311cc4ea74d99ffddf02b671a7d6","anchor_chain":"eip155:5042002","anchor_tx":"0x9e85c340732f416e431b111fae72f7624870125f7f379af2732eb6c2ba8cf6a1","anchor_block":69753317},"proof":["0xc97fecf6a7e96203db6f470284aca54674efb89be763853d4b170bd9c69722fe","0x17914a450be6a0fb157c1c384c0f40e7b6c846d8d77d59c7eb174a15896054dc","0x5da383f59675b516a7daa4af6200f1dc77a0c7b18e65bb453f105578c7696c05","0xedce07a062ee8a97c0fb03faa8210d6eeafe56b0dcf410494951215eeef40cd2","0x0fe8f65dac9d30fadef7cebca53d9ee4b9177abf1c62116fae2231451eb05189","0x2c82db384c7befb4fca02a5dc4747f4f872420682086db5b773c56a0114db286","0x8dca591fe3748c41121cf7a191e54a722ed9ec1a10937b0cf7ae74e8e988c066","0xc687d4f6151ae382b8f0aa00aa3549908722e8c9d82b63d8a3859c7a97593e0a","0x12c8b3d94131b4fa6d7612a2a8506ed35059d5fd5adbd807beeeb09f1e537b6e","0xa95fa430e70c81f9568699044c1e8f1765cd7f1e4eb4e7afacf69783c1c1e22d","0x06c47cc54990e0cce09bf9ef0e363aa768ed2f526eca7e868cec7b1a8f7c22ef","0xce35b81783a2afcd425ebe6fbdad3858ae64dac766f009692d62389b1e1b788a","0xea9d1f13685919a967cdd4a1529cd2e312e5c24c183ab44024d1cf7118faa2f8","0xff4a7a4ef98a9db806f61d17fd3535917a23846dc8183da0b176c5699301b5ba","0x4e4f8f228a3b7a38299ec6f2b1967c6cf4de15fdd9dc0d200e691266e51ef99d","0xef5d5572aac8f06b61579b7167b369fcb479d9027d4037dc9cacff9e3a26ffd2","0xa1fa2e97e71ad6e802f325afd74bb7095901f2060529c9739182a1233f8804bc","0xe01539ac4c9f9cdf265a9e5c6d99c8da11e70ff0c7175fb23e402d33b9d79785"]}