{"name":"text-embedding","description":"Text embedding / vector embedding / semantic vector / Venice embeddings / Gemini embeddings / BGE-M3. Embeds 1 to 100 strings via Venice. Tier shorthand: 'default' → gemini-embedding-2-preview (newest, recommended), 'fast' → text-embedding-bge-m3, 'openai-compat' → text-embedding-3-small. You can also pass a full Venice embedding model name. Returns a list of vectors aligned with input order.","price":"$0.002","method":"POST","input_schema":{"properties":{"texts":{"type":"array","items":{"type":"string"},"description":"1 to 100 strings to embed; each up to 30,000 chars."},"model":{"type":"string","description":"Tier shorthand ('default'|'fast'|'openai-compat') or full Venice embedding model name. Default 'default'."}},"required":["texts"]},"input_example":{"texts":["The first sentence","The second sentence"],"model":"default"},"output_example":{"embeddings":[[0.0231,-0.142,0.0011,0.083,0.071],[0.0193,-0.151,0.0072,0.078,0.062]],"count":2,"dimensions":1024,"model":"gemini-embedding-2-preview","tier":"default","usage":{"prompt_tokens":6,"total_tokens":6},"source":"venice"},"x402_payment_required":true,"x402_facilitator":"https://api.cdp.coinbase.com/platform/v2/x402"}