Gradient
Gradient is a decentralized AI infrastructure company building the Open Intelligence Stack — a peer-powered, sovereign alternative to centralized AI clouds. Its stack pairs Parallax (a distributed model-serving / world inference engine that turns heterogeneous machines into one AI cluster), Lattica (a universal peer-to-peer data-motion engine that moves model weights and inference tokens across a global machine mesh), Echo (distributed reinforcement learning) and Symphony (a decentralized multi-agent framework). Gradient Cloud is the enterprise inference offering, exposing an OpenAI-compatible REST API (model listing, chat completion, and text completion, streaming or non-streaming) at apis.gradient.network. The projects run atop a Solana-based network whose Sentry Node browser extension let contributors share edge compute. Gradient is backed by Multicoin Capital and Wing Venture Capital.
Gradient publishes 3 APIs on the APIs.io network: Chat API, Completions API, and Models API. Tagged areas include Company, Crypto Web3, Artificial Intelligence, Machine-Learning, and LLM Inference.
Gradient’s developer surface includes documentation, API reference, engineering blog, support, authentication, changelog, CLI, and 15 more developer resources.
Kin Score
APIs 3
Individual APIs this provider publishes, each with its own machine-readable definition.
Gradient Chat API
Chat completion
Gradient Completions API
Text completion
Gradient Models API
Model listing and management
Open Collections 4
Open, tool-agnostic API collections (OpenAPI-derived and Bruno).
API Collection
OPEN COLLECTIONGradient Cloud AI Chat API
OPEN COLLECTIONGradient Cloud AI Chat Completions API
OPEN COLLECTIONGradient Cloud AI Chat Models API
OPEN COLLECTIONMCP Servers 1
Model Context Protocol servers that expose these APIs to AI agents.
Gradient MCP Server
MCP SERVERSecurity 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 1
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 3
SDKs, sample code, and the tooling you integrate with
Access & Security 2
Authentication, authorization, and security posture
Operate 2
Status, limits, changes, and where to get help
Company 2
The organization behind the API
Other 1
Properties that don't map to a standard resource type
Source (apis.yml)
Work with this as data
Every provider here is available over the APIs.io API and to AI agents over MCP.