{"service":"Dellbot LLM API — embeddings","kind":"embedding","protocol":"x402","network":"base","asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","payTo":"0x234864Febc3AD18Fc99620c576729bdebfb62bCb","price":"$0.005","priceAtomic":"5000","description":"Text embeddings on x402 Bazaar. OpenAI-compatible /embeddings. POST {input, model?} where input is a string or array of strings (combined length capped at 24000 chars). Default BGE-M3; also Qwen3 8B/0.6B, multilingual E5, Nemotron VL, OpenAI text-embedding-3 small/large, BGE-en-icl. Returns JSON {data:[{embedding:[...]}], usage}.","models":["text-embedding-3-large","text-embedding-3-small","text-embedding-bge-en-icl","text-embedding-bge-m3","text-embedding-multilingual-e5-large-instruct","text-embedding-nemotron-embed-vl-1b-v2","text-embedding-qwen3-0-6b","text-embedding-qwen3-8b"],"default_model":"text-embedding-bge-m3","method":"POST","resource":"https://x402.dellbot.win/embeddings","hint":"POST {input (string|array), model?}; receive JSON {data:[{embedding:[...]}]}.","char_cap":24000}