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 engineering blog, developer portal, documentation, API reference, getting-started guide, support, pricing, and 16 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

29.7/100 thin ▬ flat Agent 4/100 human only Front door AI 6/6 dominant Heartbeat 97/100 alive saas Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

AccessFreemium

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 2026-11-06 · rubric v0.27.0

Composite quality — 29.7/100 · thin

Contract Quality 0.0 / 21

Developer Ergonomics 10.1 / 17

Access Clarity 9.4 / 17

Operational Transparency 2.0 / 11

Contract Governance 0.0 / 10

Discoverability 4.7 / 9

Regulatory Posture 0.7 / 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

Pagination 5 / 5

Distinct Operations 3 / 3

MCP Tool Quality 6 / 6

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/.

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Agent readiness — checks not met, largest first (exact, from this profile):

Machine-Readable Contract +18 pts — api_specs includes an OpenAPI document
Agentic Access Contract +10 pts — agentic_access artifact present (x-agentic-access), graded by author
Machine-Readable Auth +10 pts — a served openid-configuration/oauth-authorization-server carrying `issuer` (served), else the securitySchemes class in the provider OpenAPIs — bound (mutualTLS, DPoP, Signature) > negotiable (oauth2 authorizationCode/clientCredentials, openIdConnect) > bearer (http bearer, apiKey)
Idempotency +9 pts — OpenAPI mutating operations declare an idempotency key — a header, a request-body property, or a named de-duplication token whose own description says so (verified); else common[].type matches /idempoten/i (documented)
Stable Error Semantics +8 pts — OpenAPI $refs a shared error schema across 4xx/5xx responses (verified), else common[].type includes ErrorCatalog / ErrorCodes / DeclineCodes
A2A Agent Card +8 pts — a2a/-a2a.yml manifest, graded on conformance.grade against A2A 1.0.0

12 more unmet checks in the Agent Readiness table above.

Kin Score — facets with the most composite points still available (weight × headroom):

Contract Quality scores 0.0 — up to +25.0 composite points
Contract Governance scores 0.0 — up to +12.0 composite points
Operational Transparency scores 18.4 — up to +10.6 composite points

Each check links to what satisfies it. Publish the artifact, or tell us where it already lives, and the score moves on the next scoring run.

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 the provider profile at artifacts.apis.io/oumi/apis.yml: open an issue on github.com/api-evangelist/oumi to ask a question or point us at an artifact you publish. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

Standards implemented 1

Standards this provider implements or carries. De facto ones are profiled and measured by the API Commons; formal ones come from the standards directory and are linked by the provider's own tags. The evidence column says how each claim was established — not that it was made.

Model Context Protocol (MCP)

measured — observed by APIs.io (documented)

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

Oumi API pricing

Prices published by Oumi, read 2026-10-07 from oumi.ai/pricing.

Plan	Price
Free	$0 Includes: Up to $50 in credits for 3 months
Pro	$25/month Includes: $25/month credits platform-wide; Download model weights: 1 / month
Enterprise	Custom Includes: Everything in Pro; BYOC - VPC & on-prem
Oumi Agent tokens - Input	$6.25 per 1M input tokens
Oumi Agent tokens - Output	$31.25 per 1M output tokens
Oumi Agent tokens - Cache write	$7.80 per 1M tokens
Oumi Agent tokens - Cache read	$0.65 per 1M tokens
Evaluation	1,000 judgments/ $1

All 20 plans, limits and sources →

Pricing Plans 1

Published pricing tiers and plan structures.

Oumi Plans Pricing

20 plans

PLANS

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 2

Pricing, plans, and the legal terms of use

Plans

Plans

Pricing

Pricing

Company 4

The organization behind the API

Blog

BlogRSS

Website

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: freemium
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Freemium
  confidence: low
  source:
  - plans
  - security
  generated: '2026-11-06'
  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: '2026-10-06'
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
- Machine-Learning
- Open-Source
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
apis: []
common:
- type: Plans
  url: plans/oumi-plans-pricing.yml
- url: https://oumi.ai/blog
  type: Blog
- url: https://oumi.ai/blog/rss.xml
  type: BlogRSS
- 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

Oumi API — frequently asked questions

How much does the Oumi API cost?

Oumi publishes its prices; its Free plan is $0 as of 2026-10-07. APIs.io lists 20 pricing plans for Oumi, with each plan's price, limits and inclusions under Pricing on this page.

Does Oumi have an MCP server?

Yes. APIs.io lists 1 MCP server for Oumi: 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 and Cursor. It exposes Ou

Is the Oumi API ready for AI agents?

Oumi has a Kin Score of 29.7 out of 100 (thin) and an Agent Readiness score of 3.5 (human-only), scored by API Evangelist on 2026-11-06.

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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

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