Which AI APIs can agents reliably call, authenticate to, and use programmatically? We rated every major model provider and ML infrastructure tool. Ranked by Agent Native Score — a composite of discoverability, onboarding friction, agent tooling quality, reliability, and pricing model.
GPT-4, o1, DALL-E, Whisper, and Embeddings APIs. The most widely adopted AI API with extensive ecosystem support.
LPU-based LLM inference at 500+ tokens/second. OpenAI-compatible API. Runs Llama, Gemma, Mixtral, Whisper, and other open models.
Claude API. State-of-the-art language models with native tool use, computer use, and MCP support built in.
CDN, DDoS protection, DNS, Workers (serverless), KV, R2 storage, AI Gateway, and more. Extensive free tier.
Inference API for open-source models (Llama, Mistral, Qwen, etc.). OpenAI-compatible API, fast inference, and fine-tuning support.
ML model hub with 500k+ models. Serverless inference API, Spaces for demos, Datasets hub, and Inference Endpoints for dedicated hosting.
Run ML models via REST API — image generation, audio, video, text, and custom models. Pay per prediction, no GPU management.
Add the Agent Native Registry MCP server to get real-time scores and comparisons while your agent works.
claude mcp add agentnative -- npx -y agent-native-registry