Oumi

Oumi (Open Universal Machine Intelligence) is an open-source, Apache-2.0 platform for ML engineers and researchers to train, fine-tune, evaluate, and deploy foundation models (LLMs and VLMs) through a single unified interface. It ships as a Python library and a first-party command-line tool (train, evaluate, infer, launch, deploy, analyze, synth, tune) covering the full model development lifecycle — data synthesis, supervised fine-tuning, DPO/preference learning, evaluation judges, quantization, hyperparameter tuning, and inference across local, cloud, and HPC targets. A hosted managed platform (platform.oumi.ai) adds a Free/Pro/Enterprise product layer, and an oumi-mcp Model Context Protocol server exposes Oumi to MCP-capable assistants such as Claude and Cursor. Backed by Obvious Ventures.

Oumi is profiled on the APIs.io network. Tagged areas include Company, Economic Health, Artificial Intelligence, Machine-Learning, and LLM.

Oumi’s developer surface includes developer portal, documentation, API reference, getting-started guide, support, engineering blog, pricing, and 13 more developer resources.

🌐 Visit website 📡 Source on GitHub

18.6/100 emerging ▬ flat Agent 4/100 human only saas Full breakdown ↓
scored 2026-09-08 · rubric v0.20.0

0 APIs 1 MCP Servers

CompanyEconomic HealthArtificial Intelligence Machine-Learning LLM Foundation Models Fine-Tuning Model Training Open-Source MLOps Developer Tools Inference

Kin Score

Kin Score How this is scored →
scored 2026-09-08 · rubric v0.20.0

Composite quality — 18.6/100 · emerging

Contract Quality 0.0 / 21

Developer Ergonomics 8.5 / 17

Access Clarity 1.8 / 17

Operational Transparency 2.0 / 11

Contract Governance 0.0 / 10

Discoverability 4.9 / 9

Regulatory Posture 1.1 / 15

Agent readiness — 4/100 · human only

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 12 / 12

Machine-Readable Auth 0 / 10

Idempotency 0 / 9

Stable Error Semantics 0 / 8

Request/Response Examples 0 / 7

Rate-Limit Signaling 0 / 7

Typed Event Surface 0 / 6

Agent Skills 0 / 5

Well-Known Catalog 0 / 4

Consent & Bot Identity 0 / 3

A2A Agent Card 0 / 8

Dry-Run / Simulate Mode 0 / 4

Delegated User Identity 0 / 6

Protected Resource Metadata 0 / 5

Registration Without a Human 0 / 6

Agentic Commerce Well-Known Document 0 / 5

Regulatory Posture applies to this provider. Its tags matched the Health 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/oumi: 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 →

MCP Servers 1

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

Oumi MCP Server

Oumi ships a first-party Model Context Protocol (MCP) server, `oumi-mcp`, introduced in the v0.8 release (May 2026) for integration with MCP-capable assistants such as Claude an...

MCP SERVER

Security Posture 1

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

Oumi Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Resources

Get Started 4

Portal, sign-up, and the first successful call

DeveloperPortal

Portal

GettingStarted

SignUp

Documentation 2

Reference material describing how the API behaves

Documentation

Documentation

APIReference

APIReference

Agent Surfaces 3

MCP servers, agent skills, and machine-readable catalogs

MCPServer

MCPServer

LLMsTxt

LLMsTxt

WellKnown

WellKnown

Design & Contract 1

Pagination, idempotency, versioning, errors, and events

Lifecycle

Lifecycle

Build 4

SDKs, sample code, and the tooling you integrate with

GitHubOrganization

CLI

Packages

SDKs

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Operate 2

Status, limits, changes, and where to get help

Support

Support

ChangeLog

ChangeLog

Commercial 1

Pricing, plans, and the legal terms of use

Pricing

Pricing

Company 2

The organization behind the API

Website

Website

Blog

Blog

Source (apis.yml)

aid: oumi
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: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source: []
  generated: '2026-07-22'
  method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/oumi.png
name: Oumi
description: Oumi (Open Universal Machine Intelligence) is an open-source, Apache-2.0 platform for ML engineers and researchers
  to train, fine-tune, evaluate, and deploy foundation models (LLMs and VLMs) through a single unified interface. It ships
  as a Python library and a first-party command-line tool (train, evaluate, infer, launch, deploy, analyze, synth, tune) covering
  the full model development lifecycle — data synthesis, supervised fine-tuning, DPO/preference learning, evaluation judges,
  quantization, hyperparameter tuning, and inference across local, cloud, and HPC targets. A hosted managed platform (platform.oumi.ai)
  adds a Free/Pro/Enterprise product layer, and an oumi-mcp Model Context Protocol server exposes Oumi to MCP-capable assistants
  such as Claude and Cursor. Backed by Obvious Ventures.
url: https://raw.githubusercontent.com/api-evangelist/oumi/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- obvious-ventures
x-tier: stub
x-tier-reason: portfolio-lead
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-20'
tags:
- Company
- Economic Health
- Artificial Intelligence
- Machine-Learning
- LLM
- Foundation Models
- Fine-Tuning
- Model Training
- Open-Source
- MLOps
- Developer Tools
- Inference
tags_raw:
- Company
- Economic Health
- Artificial Intelligence
- Machine Learning
- LLM
- Foundation Models
- Fine-Tuning
- Model Training
- Open Source
- MLOps
- Developer Tools
- Inference
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
apis: []
common:
- type: DomainSecurity
  url: security/oumi-domain-security.yml
- type: Website
  url: https://oumi.ai
- type: DeveloperPortal
  url: https://platform.oumi.ai
- type: Portal
  url: https://platform.oumi.ai
- type: Documentation
  url: https://oumi.ai/docs
- type: APIReference
  url: https://oumi.ai/docs/en/latest/api/oumi.html
- type: GettingStarted
  url: https://oumi.ai/docs/en/latest/get_started/quickstart.html
- type: Support
  url: https://discord.gg/oumi
- type: Blog
  url: https://oumiai.substack.com
- type: GitHubOrganization
  url: https://github.com/oumi-ai
- type: Pricing
  url: https://oumi.ai/pricing
- type: SignUp
  url: https://platform.oumi.ai/signin
- type: MCPServer
  url: mcp/oumi-mcp.yml
- type: CLI
  url: cli/oumi-cli.yml
- type: Packages
  url: packages/oumi-packages.yml
- type: SDKs
  url: packages/oumi-packages.yml
- type: ChangeLog
  url: changelog/oumi-changelog.yml
- type: Lifecycle
  url: lifecycle/oumi-lifecycle.yml
- type: LLMsTxt
  url: llms/oumi-llms.txt
- type: WellKnown
  url: well-known/oumi-well-known.yml
x-enrichment:
  date: '2026-07-20'
  status: enriched
  artifacts_added: 8
  pass: local-v1

Work with this as data

Every provider here is available over the APIs.io API and to AI agents over MCP.

MCP server

One button, every client — Claude, Cursor, VS Code and the rest.

https://apis.io/mcp

Tools for providers

9 MCP tools reach this

find_providersBrowse and filter every provider in the catalog.
get_provider_artifactsEvery artifact this provider publishes, grouped by type.
get_provider_operationsEvery operation across all of their OpenAPIs — one call instead of parsing every spec.
get_provider_toolsEvery MCP tool they ship, with the operation each wraps.
get_provider_evidenceHow each part of their score was established. Free — the basis for a claim should not sit behind it.
get_provider_ratingPRO — composite, band, trend and facet scores.
apis_io_searchSTART HERE — APIs, providers and tags for one query, each with its total.
resolveTurn a domain, URL or GitHub org into the provider it belongs to.
find_cohortsEvery scored population of providers in the catalog.

All 92 tools →

Call it yourself

curl for this page

This provider

curl "https://apis.io/api/v1/providers/oumi"

All providers

curl "https://apis.io/api/v1/providers?limit=25"

Every operation they expose

curl "https://apis.io/api/v1/providers/oumi/operations?limit=25"

How their score was established

curl "https://apis.io/api/v1/providers/oumi/evidence"

Discovery needs no key. Ratings and market analysis are Pro.

Get an API key

Free tier, no form to fill in. Signing in shares your email address with us — we store it to create your key and to recognise you if you sign in with another provider. See our Privacy Policy and Terms.

GitHub Google LinkedIn

A second provider on the same verified email joins the account you already have.