{"name":"embedding-similarity","description":"Embedding similarity / cosine similarity / semantic match / vector compare / are-these-strings-similar. Embeds two strings via Venice (default model: text-embedding-bge-m3) and returns the cosine similarity as a single float in [-1, 1]. Useful for paraphrase detection, dedup, and cheap retrieval routing.","price":"$0.002","method":"POST","input_schema":{"properties":{"text_a":{"type":"string","description":"First text. Up to 30,000 chars."},"text_b":{"type":"string","description":"Second text. Up to 30,000 chars."},"model":{"type":"string","description":"Venice embedding model. Default 'text-embedding-bge-m3'."}},"required":["text_a","text_b"]},"input_example":{"text_a":"AI agent payments","text_b":"Autonomous transactions"},"output_example":{"text_a":"AI agent payments","text_b":"Autonomous transactions","similarity":0.7842,"model":"text-embedding-bge-m3","dimensions":1024,"source":"venice"},"x402_payment_required":true,"x402_facilitator":"https://api.cdp.coinbase.com/platform/v2/x402"}