# SkyPilot

**Canonical:** https://apis.io/providers/skypilot/  
**Website:** https://docs.skypilot.co/en/latest/docs/index.html  
**APIs profiled:** 0

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.

## Kin Score — 21.1 / 100 (emerging)

Scored 2026-10-31 under rubric 0.25.0.

| Facet | Score |
|---|---|
| Discoverability | 44.6 |
| Contract Quality | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 21.1 |
| Developer Ergonomics | 59.5 |
| Access Clarity | 10.5 |

Regulatory layer — **Horizontal (data, software, accessibility, platform)**: 14.5 (matched via fallback).

## Agent readiness — 5.6 (agent-aware)

| Dimension | Value |
|---|---|
| Spec Presence | no |
| Agentic Access | no |
| Reversibility Documented | no |
| MCP Server | documented |
| Auth Clarity | bearer |
| Idempotency | no |
| Error Semantics | no |
| OpenAPI Examples | no |
| Rate Limit Signal | no |
| Event Surface Described | no |
| Agent Skills | no |
| Well Known Catalog | no |
| Consent Identity | no |
| Agent Card | no |
| Dry Run Mode | no |
| Delegated Identity | no |
| Protected Resource Metadata | no |
| Dynamic Client Registration | no |
| Agentic Commerce | no |
| Pagination Ratio | na |
| Operation Distinctiveness | na |

## Security (2)

- **Skypilot Authentication** — 2 schemes
- **Skypilot Domain Security** — TLSv1.3 · DMARC

## Tags

Company, AI, OpenSource, Compute, Orchestration

---

Profiled by [API Evangelist](https://apievangelist.com) and published on [APIs.io](https://apis.io/providers/skypilot/). Scores are computed from the provider's own public artifacts under a published rubric.