SkyPilot
SkyPilot is an open-source AI compute orchestration platform that enables developers to run large‑scale machine‑learning workloads across multiple clouds, on‑premise clusters, and HPC schedulers. It provides a unified interface for launching, managing, and scaling jobs on Kubernetes, Slurm, and over 20 cloud providers, supporting popular frameworks such as PyTorch, TensorFlow, and DeepSpeed. The project is backed by a vibrant community and recent $20M seed funding, aiming to simplify AI infrastructure for enterprises and researchers alike.
SkyPilot is profiled on the APIs.io network. Tagged areas include Company, AI, OpenSource, Compute, and Orchestration.
SkyPilot’s developer surface includes API reference, changelog, authentication, documentation, getting-started guide, engineering blog, and 10 more developer resources.
Kin Score
Security Posture 2
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Resources
Get Started 2
Portal, sign-up, and the first successful call
Documentation 2
Reference material describing how the API behaves
Agent Surfaces 1
MCP servers, agent skills, and machine-readable catalogs
Build 3
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 1
Pricing, plans, and the legal terms of use
Company 2
The organization behind the API
Other 2
Properties that don't map to a standard resource type
Source (apis.yml)
SkyPilot API — frequently asked questions
How do I authenticate with the SkyPilot API?
SkyPilot uses bearer-token authentication (2 schemes). The details are profiled on APIs.io as Skypilot Authentication.
Is the SkyPilot API ready for AI agents?
SkyPilot has a Kin Score of 21.1 out of 100 (emerging) and an Agent Readiness score of 5.6 (agent-aware), scored by API Evangelist on 2026-10-31.
Work with this as data
Every provider here is available over the APIs.io API and to AI agents over MCP.