{"id":281994,"recorded_at":"2026-10-26T19:22:45.040685Z","observed_at":"2026-10-26T19:22:45.040591Z","subject_kind":"source_record","subject":"x402_bazaar:https://market.datapackvibe.com/x402/assistant-ib26-economics-23-182","kind":"listing","method":"sync.x402_bazaar/1","body":{"endpoints":[["x402","https://market.datapackvibe.com/x402/assistant-ib26-economics-23-182"]],"name":"market.datapackvibe.com/x402/assistant-ib26-economics-23-182","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 — Two-measure correlation + Date by category pivot: Two-measure correlation + Date by category pivot 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-23-182"},"sku":"assistant-ib26-economics-23-182","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":"2026-10-26T14:43:38.342Z","quality":{"l30DaysTotalCalls":1,"l30DaysUniquePayers":1,"lastCalledAt":"2026-10-26T14:43:37.84Z"},"resource":"https://market.datapackvibe.com/x402/assistant-ib26-economics-23-182","tags":["ai","economic-research","workflow"],"type":"http","x402Version":2},"source":"x402_bazaar","summary":"Freight movements — Two-measure correlation + Date by category pivot: Two-measure correlation + Date by category pivot 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":"76fe5ddd39defb4698ceedae7233ab1806149e33e0bebb0f0e87868ffb65a653","prev_id":218826,"leaf":"0xd237df3ca26c4ffb226f59f4ee1e83537bdef1f26fd49787f6753678c1e54b13","leaf_text":"{\"body\":\"76fe5ddd39defb4698ceedae7233ab1806149e33e0bebb0f0e87868ffb65a653\",\"id\":281994,\"kind\":\"listing\",\"method\":\"sync.x402_bazaar/1\",\"observed_us\":1793042565040591,\"prev\":218826,\"subject\":\"x402_bazaar:https://market.datapackvibe.com/x402/assistant-ib26-economics-23-182\",\"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":["0xd237b7e97bd0db41de41d0ba185c2985ed454e7cd8caff299479457014e6d386","0x78e0369e0cc786f7624c8f27db7b4c49c2f8b147cd68cf49fecd65dfab4e4067","0x394be65cb3967f7bbf170664a43837f8600bf7937532eddf712ce7d90e1de30f","0x07b55fb0c84d03fa65c4253fb938cfd394b55f2e68b68695fe00a575c2b47a8a","0x9084f4ccfb9183cd3aa8b995a162a31435a6f1c1c3c1491040093b50b4f68ba8","0xed7f7fe7eb469e586f90bd623f9601e08ff2b4c6e09844052f89ab104f8e286a","0x13e8a71d1640d8bef9fe0542806218fd7268da706ea5bb5367057cce4f1f7dd3","0xbed580fd7bf998efc017aca7695929dd6feb45bcc81a1f2888a9f7fbe72702af","0x757b9d9f4873070655cb94b0d8aad6e2f5c52b67ab385af90548dccf23c346c4","0x577d60d25feb12bd9b6b9f6b196c0f14aafc3b6efbb07d43169be409edfb700f","0xf2fdee89378769052782dfd25aeff4865ec268617aa70e6d5f36f0b04808af0c","0xa4ec009cd8db00b48fa2e4df84088950b4d34c37254de09f5e3789441c0c5e73","0x889eefefef2d4457fe6114f397df813a5cbb85011a6f40309b54ddcd4aba3bd1","0xefabf1105e09cf52c12c58e60cbb5048b9ac3f02631d1816a926e14bdd86fbdf","0xe94ca5b798e9899ad611e57835af42266e20f53f44977e487d81365e30972beb","0x703f95866af09c5e5d6ead7411e9a10f964a41a2aff64d4a55ff0053c023a023","0xd0651cb9bc8155eb52b5247d506e74b8a935057dc190ba52091702ac25ed3a40","0x9a9024edb5069d88a324facb310a5ce8e495214bbaa968f077bede437390194f","0x9b9ce5b74b9bab5121612ef6b64920a8d453cbf311096a423eef9702747e868a"]}