{"id":90076,"recorded_at":"2026-10-26T14:38:43.688135Z","observed_at":"2026-10-26T14:38:43.688086Z","subject_kind":"source_record","subject":"x402_bazaar:https://market.datapackvibe.com/x402/assistant-ib26-economics-23-077","kind":"listing","method":"baseline/1","body":{"endpoints":[["x402","https://market.datapackvibe.com/x402/assistant-ib26-economics-23-077"]],"name":"market.datapackvibe.com/x402/assistant-ib26-economics-23-077","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":"Freight movements — Numeric distribution + Adjacent row changes: Numeric distribution + Adjacent row changes for supplied freight movements records (tonnes_moved, journey_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":"tonnes_moved","rows":[{"date":"2026-10-01","journey_count":1,"region":"group-a","row_id":"row-1","tonnes_moved":10},{"date":"2026-10-02","journey_count":2,"region":"group-b","row_id":"row-2","tonnes_moved":20},{"date":"2026-10-03","journey_count":3,"region":"group-a","row_id":"row-3","tonnes_moved":15},{"date":"2026-10-04","journey_count":4,"region":"group-b","row_id":"row-4","tonnes_moved":30}]},"bodyType":"json","method":"POST","type":"http"},"output":{"example":{"files":[],"order_id":"ord_example","result":{"completed":true,"workflow":"ib26-economics-23-077"},"sku":"assistant-ib26-economics-23-077","status":"delivered"},"type":"json"}},"schema":{"$schema":"https://json-schema.org/draft/2020-12/schema","properties":{"input":{"additionalProperties":false,"properties":{"body":{"additionalProperties":false,"properties":{"field":{"default":"tonnes_moved","enum":["tonnes_moved","journey_count"],"type":"string"},"rows":{"default":[{"date":"2026-10-01","journey_count":1,"region":"group-a","row_id":"row-1","tonnes_moved":10},{"date":"2026-10-02","journey_count":2,"region":"group-b","row_id":"row-2","tonnes_moved":20},{"date":"2026-10-03","journey_count":3,"region":"group-a","row_id":"row-3","tonnes_moved":15},{"date":"2026-10-04","journey_count":4,"region":"group-b","row_id":"row-4","tonnes_moved":30}],"items":{"additionalProperties":false,"properties":{"date":{"default":"","maxLength":10,"pattern":"^\\d{4}-\\d{2}-\\d{2}$","type":"string"},"journey_count":{"maximum":1000000000000,"minimum":-1000000000000,"type":["number","null"]},"region":{"default":"","maxLength":80,"type":"string"},"row_id":{"default":"","maxLength":80,"minLength":1,"type":"string"},"tonnes_moved":{"maximum":1000000000000,"minimum":-1000000000000,"type":["number","null"]}},"required":["row_id","region","date","tonnes_moved","journey_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":"2026-10-22T07:47:52.619Z","quality":{"l30DaysTotalCalls":1,"l30DaysUniquePayers":1,"lastCalledAt":"2026-10-22T07:47:49.549Z"},"resource":"https://market.datapackvibe.com/x402/assistant-ib26-economics-23-077","tags":["ai","economic-research","workflow"],"type":"http","x402Version":2},"source":"x402_bazaar","summary":"Freight movements — Numeric distribution + Adjacent row changes: Numeric distribution + Adjacent row changes for supplied freight movements records (tonnes_moved, journey_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":"34f5325a1f29273cb26598df619335b9d645ee4b2baea2e919d88501ae80c01b","prev_id":null,"leaf":"0x919e841afdcfd1b795a3fd8c71635e8c16bfb82b57133535f20e4d8258856412","leaf_text":"{\"body\":\"34f5325a1f29273cb26598df619335b9d645ee4b2baea2e919d88501ae80c01b\",\"id\":90076,\"kind\":\"listing\",\"method\":\"baseline/1\",\"observed_us\":1793025523688086,\"prev\":null,\"subject\":\"x402_bazaar:https://market.datapackvibe.com/x402/assistant-ib26-economics-23-077\",\"subject_kind\":\"source_record\"}","day":{"day":"2026-10-26","leaves":296695,"root":"0xf43e8dcc3d451a4788b26be904c55e8c4c0fa75c9666796c51db38d37e2c0df8","chained":"0x702d5ac508f08b0d1accf36af25822d8e5660367494edd17a642fb61e158a57a","anchor_chain":"eip155:5042002","anchor_tx":"0x495162f8936e19f0039918feebe6c307f327cd6bf8c37219620b1970041fa9ae","anchor_block":69251483},"proof":["0x919ea9dd2129cf8519d50cf4c989bb0b874ef6f8c23ea119ed41933b7b961e51","0xab9a5224fed62941dba2a5d30cab4a7fe2bbff29c16899c2a331a14cff230379","0x9311f4b060e598ccfa97be831d872b4548d154f279c59e14382244a183f3062e","0x240f14fb060a9168211e2b6896f7d7f030ddb79150fb83d08d12e4d9ef0b2957","0x97e506e9e504fa55bd8058dbcf3df491ea3a0665a2e8fb5d0b4f64b0fd0b9bbb","0xa3eaf5f82923cd673ae57263ef1058d9b335ce028517193c1db9eec361513f2e","0xe8990101081ac4ab22406d75e14c232297eed6e74d669214434b91d3eb5c304d","0x0800e1924523873ab042f526fc12d4d272495805528aac0b0151476ffde225b5","0x142bd0821391f4f4570870a90283a4e65e3ee17f262409a9a12cf46d2a9f33bd","0x8f6f90384a3dbb0aa1512320438fce6c69c255af4b720c9519d9dab665dd6626","0x6c9f1a764b7efa4ca549bf1cbbf8b397ce3c92cc35a0932f2dbf0706ae892c07","0xe131b224ee3c295dfa790b458d9daa11e2a32e6131c280c6be7d92190c756a88","0x45c1d3062bbe98a6b1540c7e2ccf6516eedd6ef07fdfeb1ba77ee6272970447c","0xf0edabbb9ba0d643e5505d19d07637eb6f6aed0a1c7356af43ae7d84ae9ef0c5","0xf0bd63870f0bb378fa300bd33563050dcb7b3e02b44eb3ee550c1c534ec4b246","0x1ac20d30773e1f4f2f811540e9a99b5cca9177c9e2e029acc0d80cf3f1d11f0f","0xd21942ae3214eff88e08ab04884fd4b11958b51af9a0741b7668e2d07a2c56c9","0x9a9024edb5069d88a324facb310a5ce8e495214bbaa968f077bede437390194f","0x9b9ce5b74b9bab5121612ef6b64920a8d453cbf311096a423eef9702747e868a"]}