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 20 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.
Open Collections 6
Open, tool-agnostic API collections (OpenAPI-derived and Bruno).
API Collection
OPEN COLLECTIONSail Batches API API
OPEN COLLECTIONSail Batches API Chat Completions API API
OPEN COLLECTIONSail Batches API Messages API API
OPEN COLLECTIONSail Batches API Models API API
OPEN COLLECTIONSail Batches API Responses API API
OPEN COLLECTIONMCP 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
Other 1
Properties that don't map to a standard resource type