CentML
CentML is an AI inference optimization platform that serves popular open models through OpenAI-compatible serverless endpoints and lets teams stand up dedicated, autoscaling model-serving deployments and compute clusters. The serverless inference API runs at https://api.centml.com/openai/v1 with Bearer API keys, while a separate platform (control-plane) API manages deployments and clusters.
CentML publishes 4 APIs on the APIs.io network, including Serverless Inference (Chat Completions) API, Models API, Deployments / Endpoints API, and 1 more. Tagged areas include AI, LLM, Inference, Serverless, and GPU.
The CentML catalog on APIs.io includes 1 event-driven AsyncAPI specification and 1 Spectral governance ruleset.
CentML’s developer surface includes authentication, documentation, and 8 more developer resources.
API Rating
APIs
CentML Serverless Inference (Chat Completions) API
OpenAI-compatible chat completions and text completions across open models (Llama, Qwen, DeepSeek, GPT OSS and others) running on CentML-optimized serverless GPU endpoints, with...
CentML Models API
Lists the models available on CentML's OpenAI-compatible serverless endpoints, returning model IDs that can be passed to the chat completions and completions endpoints.
CentML Deployments / Endpoints API
Platform (control-plane) API for creating and managing dedicated inference, compute, and job deployments - including create, retrieve, update, status, and logs - that expose mod...
CentML Clusters API
Platform (control-plane) API for listing regional clusters and GPU capacity available to place deployments on, used when selecting hardware and region for dedicated endpoints.
Collections
CentML API
OPENPricing Plans
Rate Limits
FinOps
Centml Finops
FINOPSEvent Specifications
CentML Chat Completions Streaming (HTTP + SSE)
AsyncAPI 2.6 description of CentML's **chat completion streaming** surface. CentML does not publish a WebSocket API. The only asynchronous / event-style transport documented at ...
ASYNCAPIAPI Governance Rules
Resources
Documentation 1
Reference material describing how the API behaves
Agent Surfaces 1
MCP servers, agent skills, and machine-readable catalogs
Build 1
SDKs, sample code, and the tooling you integrate with
Access & Security 2
Authentication, authorization, and security posture
Operate 1
Status, limits, changes, and where to get help
Commercial 2
Pricing, plans, and the legal terms of use
Company 2
The organization behind the API