Inference
Inference (inference.net) is an AI infrastructure platform for AI-native teams. It offers an OpenAI-compatible inference API for open-source, frontier, and custom fine-tuned language models, alongside Catalyst — its observability, tracing, evaluation, training, and deployment platform. Developers call chat completions, batch/async inference, function calling, structured outputs, and vision endpoints at https://api.inference.net/v1 using a Bearer API key; route and monitor traffic through the Catalyst Gateway; fine-tune and deploy custom models; and optimize agents end to end with HALO. The platform ships a first-party CLI (inf), a hosted MCP server, and webhooks for asynchronous inference. Backed by Multicoin Capital.
Inference publishes 1 API on the APIs.io network. Tagged areas include Company, Artificial Intelligence, Machine-Learning, LLM, and Inference.
The Inference catalog on APIs.io includes 1 event-driven AsyncAPI specification.
Inference’s developer surface includes documentation, API reference, getting-started guide, engineering blog, pricing, signup flow, authentication, and 18 more developer resources.
Kin Score
APIs 1
Individual APIs this provider publishes, each with its own machine-readable definition.
Inference.net API
OpenAI-compatible inference API for open-source, frontier, and custom language models — chat completions, batch/async inference, function calling, structured outputs, and vision...
MCP Servers 1
Model Context Protocol servers that expose these APIs to AI agents.
Inference MCP Server
The Inference MCP server lets compatible AI coding assistants query and operate Catalyst resources (projects, agents, models, datasets, rubrics, evals, training jobs, deployment...
MCP SERVERPricing Plans 1
Published pricing tiers and plan structures.
Inference Plans
PLANSRate Limits 1
Documented rate limits and quota policies.
Inference Rate Limits
RATE LIMITSEvent Specifications 1
AsyncAPI definitions for this provider's event-driven and streaming APIs.
Inference Webhooks
ASYNCAPISecurity Posture 2
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Resources
Get Started 4
Portal, sign-up, and the first successful call
Documentation 2
Reference material describing how the API behaves
Agent Surfaces 2
MCP servers, agent skills, and machine-readable catalogs
Design & Contract 4
Pagination, idempotency, versioning, errors, and events
Build 3
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 4
Pricing, plans, and the legal terms of use
Company 2
The organization behind the API
Source (apis.yml)
Work with this as data
Every provider here is available over the APIs.io API and to AI agents over MCP.