{"id":"replicate-api","name":"Replicate API","homepage":"https://replicate.com/docs","repo_url":"https://github.com/replicate/replicate-python","category":"ai-ml","subcategories":["inference","image-generation","llm","computer-vision","audio"],"tags":["replicate","ml","inference","image-generation","llm","models","rest-api","sdk","gpu","open-source-models"],"what_it_does":"Replicate's API for running open-source machine learning models in the cloud, including image generation, LLMs, audio processing, and computer vision models via simple API calls.","use_cases":["Running Stable Diffusion and other image generation models from agents","Inference with open-source LLMs (Llama, Mistral, etc.) via simple API","Video generation and processing via cloud GPU models","Audio transcription and generation using hosted models","Rapid prototyping with diverse ML models without GPU infrastructure"],"not_for":["Production serving of models at high throughput (latency is variable)","Fine-tuning models at scale (better done with dedicated ML platforms)","Teams needing data privacy guarantees (inputs are sent to Replicate)","Sub-100ms inference requirements (cold start latency applies)"],"best_when":"An agent needs access to diverse open-source ML models for image, audio, or text processing without managing GPU infrastructure.","avoid_when":"You need guaranteed low latency, model privacy, or high-throughput production inference.","alternatives":["together-api","groq-api","deepgram-api"],"af_score":77.7,"security_score":70.0,"reliability_score":null,"package_type":"mcp_server","discovery_source":["github"],"priority":"low","status":"evaluated","version_evaluated":"current","last_evaluated":"2026-03-01T09:50:06.139463+00:00","performance":{"latency_p50_ms":3000,"latency_p99_ms":30000,"uptime_sla_percent":99.5,"rate_limits":"Depends on plan, typically 10-50 concurrent predictions","data_source":"llm_estimated","measured_on":null}}