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.yml
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