Inference website screenshot

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.

54.3/100 strong ▬ flat Agent 47/100 agent ready Front door AI 6/6 dominant saas Full breakdown ↓
scored 2026-09-25 · rubric v0.23.0
AccessFreemiumSelf serve⚡ Free to try
1 APIs 1 MCP Servers
CompanyArtificial IntelligenceMachine LearningLLMInferenceObservabilityModel TrainingModel DeploymentMCPCrypto Web3

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-09-25 · rubric v0.23.0
Regulatory Posture applies to this provider. Its tags matched the Horizontal (data, software, accessibility, platform) regime, so Regulatory Posture carries 15 points of the composite. If this regime is wrong for your business, say so on your provider repo — the applicability map is public and we will correct it.
Create-or-Update Ergonomics could not be measured. We hold no machine-readable contract for this provider to read, so there is nothing to measure a write surface against. Excluded rather than scored zero: never-measured and measured-empty are different facts. Publishing an OpenAPI is what makes this facet — and several others — scorable at all.
The six quality facets above are damped to 85 points between them, because the conditional facet above carries the other 15. That is why each facet's contribution is shown against a damped maximum: raising a quality facet moves the composite by 85% of its nominal weight, not 100%. The full arithmetic is at apis.io/rating/.
Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. Every facet and dimension name above is a link: it opens that measurement's own page — what it means, the exact checks that feed it, how the whole catalog distributes on it, and the providers at the top of it. This rating is computed from github.com/api-evangelist/inference: open an issue to ask a question, or submit a pull request to add artifacts. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

Standards implemented 1

Interfaces this provider implements that became standards by being copied rather than ratified. Each is profiled by the API Commons, and the evidence column says how the claim was established — not that it was made.

prose — states compatibility; nothing published to check it against
2 core of 338 operations graded · api-commons/models

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 SERVER

Pricing Plans 1

Published pricing tiers and plan structures.

Inference Plans

3 plans

PLANS

Rate Limits 1

Documented rate limits and quota policies.

Inference Rate Limits

4 limits

RATE LIMITS

Event Specifications 1

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

Security Posture 2

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

Inference Authentication

apiKey · 1 scheme

SECURITY

Inference Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

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)

apis.yml Raw ↑
aid: inference
name: Inference
description: 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.
url: https://raw.githubusercontent.com/api-evangelist/inference/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- multicoin-capital
x-tier: profiled
x-tier-reason: enrichment-pipeline
deliveryModel:
  model: saas
  open_source: false
  commercial: true
  callable_host: false
  label: Hosted service · you call their endpoint
  confidence: medium
  source:
  - pricing
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: freemium
  onboarding: self-serve
  trial: false
  try_now: true
  public: false
  label: Freemium · Self-serve signup
  confidence: high
  source:
  - plans
  - authentication
  - rate-limits
  - security
  generated: '2026-09-03'
  method: derived
image: https://inference.net/og/home.png
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-19'
tags:
- Company
- Artificial Intelligence
- Machine Learning
- LLM
- Inference
- Observability
- Model Training
- Model Deployment
- MCP
- Crypto Web3
tags_raw:
- Company
- Artificial Intelligence
- Machine Learning
- LLM
- Inference
- Observability
- Model Training
- Model Deployment
- MCP
- Crypto Web3
- Machine-Learning
apis:
- name: Inference.net API
  description: OpenAI-compatible inference API for open-source, frontier, and custom language models — chat completions, batch/async
    inference, function calling, structured outputs, and vision — authenticated with a Bearer API key.
  humanURL: https://docs.inference.net/api/api-quickstart
  baseURL: https://api.inference.net/v1
  tags:
  - LLM
  - Inference
  - OpenAI-Compatible
  tags_raw:
  - LLM
  - Inference
  - OpenAI Compatible
  properties:
  - type: Documentation
    url: https://docs.inference.net
  - type: APIReference
    url: https://docs.inference.net/api/api-quickstart
  - type: Authentication
    url: https://docs.inference.net/reference/api-keys
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: DomainSecurity
  url: security/inference-domain-security.yml
- type: Website
  url: https://inference.net
- type: DeveloperPortal
  url: https://docs.inference.net
- type: Documentation
  url: https://docs.inference.net
- type: APIReference
  url: https://docs.inference.net/api/api-quickstart
- type: GettingStarted
  url: https://docs.inference.net/api/api-quickstart
- type: Blog
  url: https://inference.net/blog
- type: Pricing
  url: https://inference.net/pricing
- type: SignUp
  url: https://inference.net/register
- type: Login
  url: https://inference.net/signin
- type: TermsOfService
  url: https://inference.net/terms-of-service
- type: PrivacyPolicy
  url: https://inference.net/privacy-policy
- type: GitHubOrganization
  url: https://github.com/context-labs
- type: TrustCenter
  url: https://trust.inference.net
- type: Authentication
  url: authentication/inference-authentication.yml
- type: RateLimits
  url: rate-limits/inference-rate-limits.yml
- type: Plans
  url: plans/inference-plans.yml
- type: MCPServer
  url: mcp/inference-mcp.yml
- type: CLI
  url: cli/inference-cli.yml
- type: Packages
  url: packages/inference-packages.yml
- type: Conventions
  url: conventions/inference-conventions.yml
- type: Lifecycle
  url: lifecycle/inference-lifecycle.yml
- type: Webhooks
  url: asyncapi/inference-webhooks.yml
- type: Conformance
  url: conformance/inference-conformance.yml
- type: LLMsTxt
  url: llms/inference-llms.txt
x-enrichment:
  date: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence

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