Sail
Sail Research provides cloud infrastructure for running long-horizon AI agents efficiently. Its inference platform serves leading open-source models (GLM, Kimi, DeepSeek, gpt-oss, Gemma, and more) through an OpenAI-compatible Responses and Chat Completions API plus an Anthropic-compatible Messages API, so existing SDKs work as drop-in clients. "Completion windows" (asap, priority, standard, flex) trade latency for 30-80% token savings, and a Batch API processes up to 100,000 requests asynchronously. Sailboxes add persistent virtual-machine compute for agents that need to run indefinitely, with checkpoint/resume, networking, and a native CLI. The platform supports LoRA fine-tunes, Tinker RL rollouts, prompt caching, completion webhooks, and usage/observability (Voyages) for background agents.
Sail publishes 5 APIs on the APIs.io network, including Batches API API, Chat Completions API API, Messages API API, and 2 more. Tagged areas include Company, AI, Machine Learning, LLM, and Inference.
The Sail catalog on APIs.io includes 1 event-driven AsyncAPI specification.
Sail’s developer surface includes documentation, API reference, getting-started guide, pricing, signup flow, engineering blog, authentication, and 19 more developer resources.
Kin Score
APIs 5
Individual APIs this provider publishes, each with its own machine-readable definition.
Sail Batches API API
Submit and manage batches of requests.
Sail Chat Completions API API
OpenAI-compatible Chat Completions API endpoints.
Sail Messages API API
Anthropic-compatible Messages API endpoints.
Sail Models API API
Model discovery endpoints.
Sail Responses API API
OpenAI-compatible Responses API endpoints.
MCP Servers 1
Model Context Protocol servers that expose these APIs to AI agents.
sail-mcp.yml
MCP SERVEREvent Specifications 1
AsyncAPI definitions for this provider's event-driven and streaming APIs.
Sail Webhooks
ASYNCAPISecurity Posture 2
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Agentic Access 1
Recommended x-agentic-access execution contracts for AI agents.
Resources
Get Started 3
Portal, sign-up, and the first successful call
Documentation 2
Reference material describing how the API behaves
Agent Surfaces 4
MCP servers, agent skills, and machine-readable catalogs
Design & Contract 5
Pagination, idempotency, versioning, errors, and events
Build 4
SDKs, sample code, and the tooling you integrate with
Access & Security 3
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