{"id":206986,"recorded_at":"2026-10-26T14:52:31.259484Z","observed_at":"2026-10-26T14:52:31.259413Z","subject_kind":"source_record","subject":"x402_bazaar:https://market.datapackvibe.com/x402/assistant-sector-analytics-procurement-normalise","kind":"listing","method":"sync.x402_bazaar/1","body":{"endpoints":[["x402","https://market.datapackvibe.com/x402/assistant-sector-analytics-procurement-normalise"]],"name":"market.datapackvibe.com/x402/assistant-sector-analytics-procurement-normalise","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":"Procurement - String normalisation: String normalisation for Procurement. Up to 200 supplied typed records. Local numeric and data-quality processing; no external enrichment or forecasting. One of 25 profiles or calculations across 20 shared operations in this sector. 0.01 USDC includes one bounded string normalisation deliverable.","extensions":{"bazaar":{"info":{"input":{"body":{"rows":[{"date":"2026-10-01","ordered_units":10,"row_id":"row-1","supplier":"group-a","unit_cost":1},{"date":"2026-10-02","ordered_units":20,"row_id":"row-2","supplier":"group-b","unit_cost":2},{"date":"2026-10-03","ordered_units":15,"row_id":"row-3","supplier":"group-a","unit_cost":3},{"date":"2026-10-04","ordered_units":30,"row_id":"row-4","supplier":"group-b","unit_cost":4}]},"bodyType":"json","method":"POST","type":"http"},"output":{"example":{"files":[],"order_id":"ord_example","result":{"completed":true,"workflow":"sector-analytics-procurement-normalise"},"sku":"assistant-sector-analytics-procurement-normalise","status":"delivered"},"type":"json"}},"schema":{"$schema":"https://json-schema.org/draft/2020-12/schema","properties":{"input":{"additionalProperties":false,"properties":{"body":{"additionalProperties":false,"properties":{"rows":{"default":[{"date":"2026-10-01","ordered_units":10,"row_id":"row-1","supplier":"group-a","unit_cost":1},{"date":"2026-10-02","ordered_units":20,"row_id":"row-2","supplier":"group-b","unit_cost":2},{"date":"2026-10-03","ordered_units":15,"row_id":"row-3","supplier":"group-a","unit_cost":3},{"date":"2026-10-04","ordered_units":30,"row_id":"row-4","supplier":"group-b","unit_cost":4}],"items":{"additionalProperties":false,"properties":{"date":{"default":"","maxLength":10,"pattern":"^\\d{4}-\\d{2}-\\d{2}$","type":"string"},"ordered_units":{"maximum":1000000000000,"minimum":-1000000000000,"type":["number","null"]},"row_id":{"default":"","maxLength":80,"minLength":1,"type":"string"},"supplier":{"default":"","maxLength":80,"type":"string"},"unit_cost":{"maximum":1000000000000,"minimum":-1000000000000,"type":["number","null"]}},"required":["row_id","supplier","date","ordered_units","unit_cost"],"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":"2026-10-26T06:02:53.938Z","quality":{"l30DaysTotalCalls":2,"l30DaysUniquePayers":1,"lastCalledAt":"2026-10-26T06:02:53.706Z"},"resource":"https://market.datapackvibe.com/x402/assistant-sector-analytics-procurement-normalise","tags":["ai","sector-analytics","workflow"],"type":"http","x402Version":2},"source":"x402_bazaar","summary":"Procurement - String normalisation: String normalisation for Procurement. Up to 200 supplied typed records. Local numeric and data-quality processing; no external enrichment or forecasting. One of 25 profiles or calculations across 20 shared operations in this sector. 0.01 USDC includes one bounded string normalisation deliverable."},"body_sha256":"d8816000777e14aa01eabd67c75dddb1a15120793d2a95fbfc482a429eba9039","prev_id":null,"leaf":"0x5458145d238685df99229d393ecc5f0723149969c4de583b02884b46745f2fdd","leaf_text":"{\"body\":\"d8816000777e14aa01eabd67c75dddb1a15120793d2a95fbfc482a429eba9039\",\"id\":206986,\"kind\":\"listing\",\"method\":\"sync.x402_bazaar/1\",\"observed_us\":1793026351259413,\"prev\":null,\"subject\":\"x402_bazaar:https://market.datapackvibe.com/x402/assistant-sector-analytics-procurement-normalise\",\"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":["0x54579196e17c470f813d9fc64a4935d8d26236399485dcad4a04ec23a7b52807","0x8d1c9b918f4dc5882c72459e2a2d3e183806256e05961dc5c3045fd672925dea","0xadd4730906d07cd3e4d74bd75c98d933c0c43f9af46be68a7856efb76485f5ac","0xfdbfe567e1776edc1cde326340199544160b37fd81561dc3bfa2b08c9ab1fb3f","0x6f89703234dff71b57671ce102cf00939feb3c186946e2b707afea32f23cfea9","0xc0bdb64c7dded039ad9e64b77bccfd9795ceed9a3502da8737a729103b00b4d5","0x5f97e67f5a5ae4df6c5b33998fcc1f0898f94ce6492807d3b6092bc675d6f4bf","0x1e950528fec2c38c698ee44b5c4226975c3acc1a6eb8c524077c63b3c2935aca","0x40581d4b92f98d03f4d30c02fe130618ca6e557f88c320ec8e64c0093ec35134","0xbe52a1de9424037e1e4260713fa281437aa5a001a2cf6c6f46bcd832ee5770bd","0xec824c3c9c635c0935294afc42b42d41176d63a67e608b45abf49b05e262e664","0x774d66905c34a786c6d34bf1c4491dbdb08f534c9eb5f76cf3de03385d28f388","0xd830c52e1e8095e014510110592485afcb02b9c9a36f85653e4891a8de941246","0x0733993143f0230e79482cef2c38e95d98f9eafbe64a43cdc74a4545938a4167","0x2be1e80e065dd6b2cc75a7142be22225acd144ac975d70bf24b4f01fd76dc497","0x2e6a32eb32761c210560e852405e2f865f958ddbe01027894f8b9c1b3433b9f0","0x9a83be955a206deb65b995adfd92c58fa31c95fbbf926bd199d300e70b08b26d","0x20704208aa6923d6b2450ef74ede87a6e0265d46447926038fe9506e9e154b2d","0x9b9ce5b74b9bab5121612ef6b64920a8d453cbf311096a423eef9702747e868a"]}