{"id":1046470,"recorded_at":"2026-10-29T18:33:24.673413Z","observed_at":"2026-10-29T18:33:24.673271Z","subject_kind":"source_record","subject":"x402_bazaar:https://market.datapackvibe.com/x402/assistant-ib26-weather-01-143","kind":"listing","method":"sync.x402_bazaar/1","body":{"endpoints":[["x402","https://market.datapackvibe.com/x402/assistant-ib26-weather-01-143"]],"name":"market.datapackvibe.com/x402/assistant-ib26-weather-01-143","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":"Temperature observations — Daily sum series + Date by category pivot: Daily sum series + Date by category pivot for supplied temperature observations records (temperature_c, observation_count). 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":{"field":"temperature_c","rows":[{"date":"2026-10-01","observation_count":1,"row_id":"row-1","station_group":"group-a","temperature_c":10},{"date":"2026-10-02","observation_count":2,"row_id":"row-2","station_group":"group-b","temperature_c":20},{"date":"2026-10-03","observation_count":3,"row_id":"row-3","station_group":"group-a","temperature_c":15},{"date":"2026-10-04","observation_count":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-01-143"},"sku":"assistant-ib26-weather-01-143","status":"delivered"},"type":"json"}},"schema":{"$schema":"https://json-schema.org/draft/2020-12/schema","properties":{"input":{"additionalProperties":false,"properties":{"body":{"additionalProperties":false,"properties":{"field":{"default":"temperature_c","enum":["temperature_c","observation_count"],"type":"string"},"rows":{"default":[{"date":"2026-10-01","observation_count":1,"row_id":"row-1","station_group":"group-a","temperature_c":10},{"date":"2026-10-02","observation_count":2,"row_id":"row-2","station_group":"group-b","temperature_c":20},{"date":"2026-10-03","observation_count":3,"row_id":"row-3","station_group":"group-a","temperature_c":15},{"date":"2026-10-04","observation_count":4,"row_id":"row-4","station_group":"group-b","temperature_c":30}],"items":{"additionalProperties":false,"properties":{"date":{"default":"","maxLength":10,"pattern":"^\\d{4}-\\d{2}-\\d{2}$","type":"string"},"observation_count":{"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","observation_count"],"type":"object"},"maxItems":200,"minItems":1,"type":"array"}},"required":["rows","field"],"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":"2026-10-29T16:20:59.62Z","quality":{"l30DaysTotalCalls":1,"l30DaysUniquePayers":1,"lastCalledAt":"2026-10-29T16:20:59.44Z"},"resource":"https://market.datapackvibe.com/x402/assistant-ib26-weather-01-143","tags":["ai","weather-data","workflow"],"type":"http","x402Version":2},"source":"x402_bazaar","summary":"Temperature observations — Daily sum series + Date by category pivot: Daily sum series + Date by category pivot for supplied temperature observations records (temperature_c, observation_count). 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":"2100123f5012a7da4d1bae7a895e798b6034b8d3e0965e61cebb1c34c9982a34","prev_id":null,"leaf":"0x54310b93159e22d56e0a5cee41388f6450d2bf9dc7f2144d1f2fa7493857c87f","leaf_text":"{\"body\":\"2100123f5012a7da4d1bae7a895e798b6034b8d3e0965e61cebb1c34c9982a34\",\"id\":1046470,\"kind\":\"listing\",\"method\":\"sync.x402_bazaar/1\",\"observed_us\":1793298804673271,\"prev\":null,\"subject\":\"x402_bazaar:https://market.datapackvibe.com/x402/assistant-ib26-weather-01-143\",\"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":["0x5431064bc9f8ae0e16f6312320f465282297b7da040a70ee571f18dc35b73385","0xc38196206a4eb6d4c33601a9ce9e0537a9e6b3d815b433688fc3fb1de130b3de","0x1038548b36eaf9c0325db8457f84fb962b43371b12dc7ac29e1a7b00744db8c4","0x5aaf8eb4b97575e8e574487d24df492f5697b632794399f08acea5a5c04fa7ee","0xa381b66266dcbc1597fe8b28c729b86798df6c8b7605d0149c4cf81da2fd6b7e","0x84f8a5955ad3d1eb527a1d81593bc49803eb74c2bec5ca3951b950e39e300387","0xe0a80efaf10cb25eedec3d39e9f07e5782ba3c139919df307a7c50c66e389889","0x51b41472b1c3a1f80bedbf452920d2a8933f07e8b793c67ac67ddcac537abec6","0xf258e2739f1056d4d6fb288b8d1083424e45128f7e1483eb537b988aadd0ae4f","0x2ad60b3f63f1af6b6dc4bbca6f2f1d775ead913dbc434008ececa1695120e961","0x9fc805ba53000158ef8b08d18b92dbdfb462c4b3ce27ea901805fa639c776ef6","0xd26ffcb8631a2e664b6c2718eaf2032762fbd4973e2344e0d72545a93135a157","0x79a2b064bf90e67cbf49c681e7efbf65c5a717561b62dd64ff2fa0c3ef2f1c4d","0x60542b996483c326b2bd752f929fe970246f1c807373ecefc7577bc6cd0a4cfb","0x0bc4adb5c11d6f42a54004eb9a86e4a9294c3fb793d78af72f971454ecfe5b44","0x976395aaca1b771b7e37710dee4157412909d2398c44e306a2e1e3fe83b984fd","0x91f12a2db1e2c1be07cbe4de3981a37a33051a36d3c3eee5a260804add6d1d75","0xd56e61af23709ed9f460471e3c08400c0142ee83e1fd9057e46350d12edf9c07"]}