{"business":{"endpoints":["POST /v1/embeddings","GET /v1/models"],"host":"embed.mojojojo.cc","kind":"model","live":true,"meters":[{"free_per_month":1000,"id":"model.embed.tokens","label":"Embedding tokens","unit":"1k tokens","usd_per_unit":0.00002}],"model":"intfloat/e5-small-v2 (MIT), revision ffb93f3b","notes":["input_type is \"query\" or \"passage\" (E5 prefixes are added for you); default passage.","Vectors are L2-normalised, 384 dimensions; up to 512 inputs of 20,000 characters per request.","Matches the PyTorch reference to 2e-7 max abs difference (cosine 0.9999999).","Speed: 0.40x PyTorch at batch 1 up to 0.93x at batch 200 on 2 pinned cores. It is a convenience and price play, not a latency win."],"pitch":"OpenAI-compatible text embeddings: E5-small-v2 (384 dims) on Mojo CPU kernels, $0.02 per million tokens","repo":"https://github.com/lee101/mojobusinesses","slug":"embed","status":"built","title":"Embeddings API"},"ok":true}