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.

Kin Score

This is the API Evangelist rating — a single, repeatable read computed from the artifacts on this page. Green fill is points earned; the red track is points possible, so every bar shows earned-versus-possible at a glance.

How we profile Inference

Each block below is one kind of artifact we hold for Inference. For each we say what it is and why it earns a place in the profile, then list every one we've indexed — capped at two rows, scroll within the panel for the rest.

APIs 1

Each API is captured as its own OpenAPI definition — every operation, parameter, and response. This is the single most useful machine-readable description of what an API does, and it's what lets us score, lint, mock, and generate against it without asking the provider for anything.

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 expose these APIs directly to AI agents. We profile them because agent-native access is the fastest-growing way this provider's capabilities actually get used.

Model Context Protocol servers that expose these APIs to AI agents.

inference-mcp.yml

MCP SERVER

Pricing Plans 1

Pricing is part of the interface. Machine-readable plans tell you what a tier costs and includes before you commit — one of the six things the Kin Score reads for commercial clarity.

Published pricing tiers and plan structures.

Inference Plans

3 plans

PLANS

Rate Limits 1

Rate limits are the difference between a demo that works and a production integration that doesn't fall over. Publishing them is an operational-transparency signal — and a hard requirement for any agent that plans its own throughput.

Documented rate limits and quota policies.

Inference Rate Limits

0 limits

RATE LIMITS

Event Specifications 1

Not every API is request/response. AsyncAPI describes the event-driven and streaming side — the webhooks and channels — so the asynchronous half of the interface is documented the same way the synchronous half is.

AsyncAPI definitions for this provider's event-driven and streaming APIs.

Inference Webhooks

ASYNCAPI

Security Posture 2

Authentication, domain security, vulnerability disclosure, and trust-center signals — the evidence that a provider takes security seriously enough to document it. We profile it because you can't govern what you can't see.

Authentication, domain security, vulnerability disclosure, and trust-center signals.

Inference Authentication

apiKey · 1 scheme

SECURITY

Inference Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Resources

Every other property we hold for Inference — documentation, portals, status pages, policies, and corporate surface — grouped by the job it does, following the integrator's arc from getting started to running in production.

← All providers · Data indexed from github.com/api-evangelist/inference · machine-readable index on apis.io