{"id":119023,"recorded_at":"2026-10-26T14:40:14.354464Z","observed_at":"2026-10-26T14:40:14.354409Z","subject_kind":"source_record","subject":"x402_bazaar:https://quickbuild.quynguyenbac.workers.dev/v1/embeddings","kind":"listing","method":"baseline/1","body":{"endpoints":[["x402","https://quickbuild.quynguyenbac.workers.dev/v1/embeddings"]],"name":"QuickBuild","owner_address":"0x751a4c3841be287544c371b4ee09bd3366aea7cf","raw":{"accepts":[{"amount":"1000","asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","extra":{"name":"USD Coin","version":"2"},"maxTimeoutSeconds":300,"network":"eip155:8453","payTo":"0x751a4c3841bE287544C371B4EE09Bd3366AeA7cf","scheme":"exact"}],"description":"Drop-in OpenAI Embeddings endpoint: POST {input: string | string[], model, encoding_format: float|base64, dimensions} and get {object: \"list\", data: [{embedding, index}], model, usage}. Models (Cloudflare Workers AI): bge-m3 (1024-d, multilingual (100+ languages), 8192-token context); bge-large-en-v1.5 (1024-d, English); bge-base-en-v1.5 (768-d, English); bge-small-en-v1.5 (384-d, English, fastest); embeddinggemma-300m (768-d, multilingual (Google EmbeddingGemma)). Any other model name (e.g....","extensions":{"bazaar":{"info":{"input":{"method":"GET","queryParams":{"input":["x402 lets AI agents pay for APIs per call.","Vector search over documents"],"model":"bge-m3"},"type":"http"},"output":{"example":{"data":[{"embedding":[-0.0291,0.0137,-0.0402,0.0088],"index":0,"object":"embedding"}],"dimensions":1024,"model":"bge-m3","modelId":"@cf/baai/bge-m3","object":"list","usage":{"prompt_tokens":12,"total_tokens":12}},"type":"json"}},"schema":{"$schema":"https://json-schema.org/draft/2020-12/schema","properties":{"input":{"additionalProperties":false,"properties":{"method":{"enum":["GET"],"type":"string"},"queryParams":{"properties":{"dimensions":{"description":"Optional output size; vectors are truncated and re-normalized.","maximum":1024,"minimum":1,"type":"integer"},"encoding_format":{"description":"float (default) or base64 (little-endian float32).","enum":["float","base64"],"type":"string"},"input":{"description":"Text or array of texts to embed (max 100). Optional: defaults to a sample sentence.","items":{"type":"string"},"type":["string","array"]},"model":{"description":"Embedding model alias (default bge-m3).","enum":["bge-m3","bge-large-en-v1.5","bge-base-en-v1.5","bge-small-en-v1.5","embeddinggemma-300m"],"type":"string"}},"required":[],"type":"object"},"type":{"const":"http","type":"string"}},"required":["type","method"],"type":"object"},"output":{"properties":{"example":{"properties":{"data":{"items":{"properties":{"embedding":{"items":{"type":"number"},"type":["array","string"]},"index":{"type":"integer"},"object":{"type":"string"}},"type":"object"},"type":"array"},"dimensions":{"type":"integer"},"model":{"type":"string"},"modelId":{"type":"string"},"object":{"type":"string"},"usage":{"properties":{"prompt_tokens":{"type":"integer"},"total_tokens":{"type":"integer"}},"type":"object"}},"type":"object"},"type":{"type":"string"}},"required":["type"],"type":"object"}},"required":["input"],"type":"object"}}},"lastUpdated":"2026-10-24T20:48:20.151Z","quality":{"l30DaysTotalCalls":2,"l30DaysUniquePayers":2,"lastCalledAt":"2026-10-24T20:48:19.993Z"},"resource":"https://quickbuild.quynguyenbac.workers.dev/v1/embeddings","serviceName":"QuickBuild","tags":["embeddings","openai-compatible","rag","vector","ai"],"type":"http","x402Version":2},"source":"x402_bazaar","summary":"Drop-in OpenAI Embeddings endpoint: POST {input: string | string[], model, encoding_format: float|base64, dimensions} and get {object: \"list\", data: [{embedding, index}], model, usage}. Models (Cloudflare Workers AI): bge-m3 (1024-d, multilingual (100+ languages), 8192-token context); bge-large-en-v1.5 (1024-d, English); bge-base-en-v1.5 (768-d, English); bge-small-en-v1.5 (384-d, English, fastest); embeddinggemma-300m (768-d, multilingual (Google EmbeddingGemma)). Any other model name (e.g...."},"body_sha256":"be2e8ed7e04a9dbeb6d364cec4d0ff5812433a751195e97802a4b6e1a0745fad","prev_id":null,"leaf":"0xe3a25047c6ae7b55127b0990d158383d079614c6c1b2031dc20fba2a8f560726","leaf_text":"{\"body\":\"be2e8ed7e04a9dbeb6d364cec4d0ff5812433a751195e97802a4b6e1a0745fad\",\"id\":119023,\"kind\":\"listing\",\"method\":\"baseline/1\",\"observed_us\":1793025614354409,\"prev\":null,\"subject\":\"x402_bazaar:https://quickbuild.quynguyenbac.workers.dev/v1/embeddings\",\"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":["0xe3a223e5ff5898542489efcc0d504a2bcf2af1e2e9cfb61af0bc509a49257eb8","0xe5bc3d440d9b6c3402ccd122e176e1e9e4be1f780a092e5997f607fb37a5ad9a","0xfc26dc98eb9dbbc6d2bc240fd4df6f65c3348657d3456bda57f5be91ee5ed96b","0x5d27fc39bc765464c711fe4eb513da567f7fb0d46141eb457ba32977da0ca515","0xcc12b058b9efc38313a742b211daff123e74eb3f85cd35b8c6bb98af7c8757c2","0x2bb0952918d4ec140c8163c477805abe0c7baa584e995428aa0481614e47d80b","0xa8f651ea3ced764050c90692ec78040956e237bb702ba690611c62fd978ebac9","0x0ac5d1b4059f21bd06f17a02a4a9ea85c4f9e8ecff9d24aea26fec223dd62e09","0xd64a1531ed43b02a67d87d21ecef0bc1c12b2445722979b0bc983e2c2082ca37","0x249b79bed19d1f9d60c6d935894d3c7f842961834c52c966852cddf05d69629d","0xb545b804be0d2933a674be6ac915c6c6235897d0274e66143aa7cf879b9d86a3","0x8e135936797442c4eea61915f2c9f8f6df06e1322204cd0e6986ada3e54c77cc","0xc0924a0807e534382f518663123231c317124338831a2b310de2c17b09677086","0x9bc5fc98278b9f6dc18c66c6e162aefd5244be03170d41bc5161f58ad11beed7","0x95657a7d540ed6cac0bde9995782333b2562a9a6641853269ac95148827410f0","0x5fb5dda563336cd1bc1b9f44c52b76237ae72ed2145cb9290f39f304ca7dd678","0x74a0a08e4e7ab9aa5bfbead33dec7e1c7e8e364cff69a63720d764bbe987aadc"]}