{"id":1522452,"recorded_at":"2026-10-31T18:57:22.462534Z","observed_at":"2026-10-31T18:57:22.462467Z","subject_kind":"source_record","subject":"x402_bazaar:https://market.datapackvibe.com/x402/assistant-ib26-weather-25-001","kind":"listing","method":"sync.x402_bazaar/1","body":{"endpoints":[["x402","https://market.datapackvibe.com/x402/assistant-ib26-weather-25-001"]],"name":"market.datapackvibe.com/x402/assistant-ib26-weather-25-001","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":"Water temperature observations — Record quality audit + String normalisation: Record quality audit + String normalisation for supplied water temperature observations records (temperature_c, depth_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.","extensions":{"bazaar":{"info":{"input":{"body":{"rows":[{"date":"2026-10-01","depth_m":1,"row_id":"row-1","station_group":"group-a","temperature_c":10},{"date":"2026-10-02","depth_m":2,"row_id":"row-2","station_group":"group-b","temperature_c":20},{"date":"2026-10-03","depth_m":3,"row_id":"row-3","station_group":"group-a","temperature_c":15},{"date":"2026-10-04","depth_m":4,"row_id":"row-4","station_group":"group-b","temperature_c":30}]},"bodyType":"json","method":"POST","type":"http"},"output":{"example":{"files":[],"order_id":"ord_example","result":{"completed":true,"workflow":"ib26-weather-25-001"},"sku":"assistant-ib26-weather-25-001","status":"delivered"},"type":"json"}},"schema":{"$schema":"https://json-schema.org/draft/2020-12/schema","properties":{"input":{"additionalProperties":false,"properties":{"body":{"additionalProperties":false,"properties":{"rows":{"default":[{"date":"2026-10-01","depth_m":1,"row_id":"row-1","station_group":"group-a","temperature_c":10},{"date":"2026-10-02","depth_m":2,"row_id":"row-2","station_group":"group-b","temperature_c":20},{"date":"2026-10-03","depth_m":3,"row_id":"row-3","station_group":"group-a","temperature_c":15},{"date":"2026-10-04","depth_m":4,"row_id":"row-4","station_group":"group-b","temperature_c":30}],"items":{"additionalProperties":false,"properties":{"date":{"default":"","maxLength":10,"pattern":"^\\d{4}-\\d{2}-\\d{2}$","type":"string"},"depth_m":{"maximum":1000000000000,"minimum":-1000000000000,"type":["number","null"]},"row_id":{"default":"","maxLength":80,"minLength":1,"type":"string"},"station_group":{"default":"","maxLength":80,"type":"string"},"temperature_c":{"maximum":1000000000000,"minimum":-1000000000000,"type":["number","null"]}},"required":["row_id","station_group","date","temperature_c","depth_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":"2026-10-30T19:01:58.513Z","quality":{"l30DaysTotalCalls":3,"l30DaysUniquePayers":1,"lastCalledAt":"2026-10-30T19:01:58.055Z"},"resource":"https://market.datapackvibe.com/x402/assistant-ib26-weather-25-001","tags":["ai","weather-data","workflow"],"type":"http","x402Version":2},"source":"x402_bazaar","summary":"Water temperature observations — Record quality audit + String normalisation: Record quality audit + String normalisation for supplied water temperature observations records (temperature_c, depth_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."},"body_sha256":"7c1e27a06cc7c43db36827668d6e8796a6146e27bed1761862a3ae2d11d4c014","prev_id":1043978,"leaf":"0x9db280dd01c276bb437338d24071fb3d9546e21a901b360882f3353bae0ad743","leaf_text":"{\"body\":\"7c1e27a06cc7c43db36827668d6e8796a6146e27bed1761862a3ae2d11d4c014\",\"id\":1522452,\"kind\":\"listing\",\"method\":\"sync.x402_bazaar/1\",\"observed_us\":1793473042462467,\"prev\":1043978,\"subject\":\"x402_bazaar:https://market.datapackvibe.com/x402/assistant-ib26-weather-25-001\",\"subject_kind\":\"source_record\"}","day":{"day":"2026-10-31","leaves":246033,"root":"0x24463725d1c0d9894bd6123691d532547aaa79f0762c0e45aa6a68acf1fd71ab","chained":"0x7d4824ff313dee7252a46f9d5c37b452851deb6c9f24a40c2f74ee0e53c82980","anchor_chain":"eip155:5042002","anchor_tx":"0xedb7b832f4ebf6781b5ecd2ed241c435b862f4d3761541fa31adc1831b8c44a0","anchor_block":70093156},"proof":["0x9db29192987f9a01bc84b7bb3f309946a5915a73b75ede12721a1260969cd93a","0x6026ecdf80b869ea999f7233ff39c530d5c2add9fbf46b838cede78182592cb6","0xf63c03f149fcc9f7b8f854b37c6744c8f2594c5eb549aec87b3ad04555ab4833","0x314030b2aafb17fa2990ed166c33194d2cdefdf07a3e24e57b846e49ff79308f","0x91ec0eeef9d7f44644e2eade358abc5d4dc57d6bce3e1194065b5b90ec94488f","0x429d4994d1baffee289b165431650eb51f19ce43fddb8bb2aab37e0770193e3f","0x77d913d867acaa3526654ab22da6a68afd2013511de22ea81c14cfc3195777f0","0xf78f39209e12d788281acea3ffb62483f1830b2aa5f12777e1bac5c5633f870d","0xba39da7c8fc0311eb07da3022ea7796f580d6d2440c4033215e3a8465fbe375d","0x80f6e1346eb785eb25f68630db1e278ad63c8dccd84053b58009763e9fe0dd97","0x3a121d04adbd4b4be1fdf40ec00d56ba958a9f76bf3322099bb51c400b1d0753","0x9015761a667deaf7c1511b3c3b5f579ad872409cf1102aafe66d5115dbca2b33","0xd7eeb5d366f1d99f0996a1688d7c011650329fecbe27e79b02dc24865efdf372","0xba1869be223f95f72276ce33e2a2c15c419c92f64870421adea6f13169667701","0xaada757a4e58b5424e31228ed7c84f378168cc321ac8ae3a78bfc8096bcc0324","0x8605635b6c6bd33c6547585212170cc076018c2dd5f81f35a5ac4ade689fbb12","0x50003b3c3045b653f8be4232e95e80582cf5c54c14c509ba0a9a197b9e5005cb","0x0504a25438f3c7932125463198ca74c5064f23f71a5c92763b3fc96a98cc8b57"]}