Modular

Modular is an AI infrastructure company building a unified inference stack that runs GenAI models from custom GPU kernels up to production cloud serving. Its open-source MAX framework (Modular Accelerated Xecution) and the Mojo systems programming language let teams serve frontier open models on NVIDIA, AMD, and Apple Silicon hardware. Modular exposes an OpenAI-compatible inference REST API (chat completions, completions, embeddings, and image/video responses) available as self-hosted containers, shared per-token endpoints, dedicated per-minute endpoints, and bring-your-own-cloud deployments through the Modular Console.

Modular is listed with 1 API on the APIs.io network. Tagged areas include Company, Artificial Intelligence, Machine Learning, Inference, and LLM.

Modular’s developer surface includes documentation, API reference, getting-started guide, engineering blog, support, pricing, signup flow, and 21 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

44.5/100 developing ▬ flat Agent 3/100 human only Front door AI 6/6 dominant Heartbeat 88/100 alive saas Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

AccessPaid

1 API

Company Artificial Intelligence Machine Learning Inference LLM GPU Developer Tools Infrastructure

Kin Score

Kin Score How this is scored →
scored 2026-11-06 · rubric v0.27.0

Composite quality — 44.5/100 · developing

Contract Quality 0.0 / 21

Developer Ergonomics 10.5 / 17

Access Clarity 14.8 / 17

Operational Transparency 2.9 / 11

Contract Governance 1.9 / 10

Discoverability 6.2 / 9

Regulatory Posture 4.1 / 15

Agent readiness — 3/100 · human only

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 0 / 12

Machine-Readable Auth 10 / 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 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/.

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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
MCP Server +12 pts — deployment.mode + probe verdict on the mcp/ manifest, not the pointer; an unprobed slug falls back to authorship
Agentic Access Contract +10 pts — agentic_access artifact present (x-agentic-access), graded by author
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 18.2 — up to +9.8 composite points
Operational Transparency scores 26.3 — up to +9.6 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/modular/apis.yml: open an issue on github.com/api-evangelist/modular 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 →

Markets this provider is in provisional

The Kin Score Market layer reads a provider inside its market: its position, and how deep its integrations go. Depth is only comparable within a position. Provisional and unweighted: not part of the Kin Score or agent readiness.

Market	Position	Depth	Registered MCP server	Declares compatibility
Agent Skills (SKILL.md packages)	builds-on	44.1	-	1
IDE Extension Marketplaces (JetBrains, VS Code, Open VSX, Docker Verified Publishers, PyPI orgs)	builds-on	44.1	-	1
Docker Hub Verified Publishers + Official Images	builds-on	44.1	-	1
Hugging Face Hub Organisations	builds-on	44.1	-	1

Registered MCP server and declares compatibility are report only — not weighted. Undeclared means we found nothing we can read, so there is no number: we never infer integrations.

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.

The OpenAI Interface

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.

MAX Inference REST API

OpenAI-compatible inference API served by MAX. Exposes /v1/chat/completions, /v1/completions, /v1/embeddings, /v1/responses (image and video generation), and /v1/models. Hosted ...

Modular API pricing

Prices published by Modular, read 2026-10-07 from www.modular.com/pricing. A free plan or tier is listed.

Plan	Price
Modular Cloud	PER TOKEN OR GPU HOUR Includes: Shared & Dedicated Endpoints; start by testing shared endpoints for free
Bring Your Own Cloud	PAY PER MINUTE Includes: Everything in Dedicated Endpoint, plus deployment in your cloud or on-premise
Enterprise	CUSTOM ENGAGEMENT Includes: SOTA inference on any GPU vendor, custom kernels, community support
Self-Hosted	Free Includes: Community Edition, free forever with no usage fees
DeepSeek V4 (hosted endpoint)	1.74 Includes: Output 3.48 per 1M; Cache Hit 0.145 per 1M
GPT OSS 120B (hosted endpoint)	0.1 Includes: Output 0.5 per 1M; Cache Hit N/A
FLUX.2-klein-4B (image)	1 Includes: Output 1 per 1K @ 1MP

Plan details, limits and sources →

Billed by: $/1m input tokens · FinOps profile →

Pricing Plans 1

Published pricing tiers and plan structures.

Modular Plans Pricing

7 plans

PLANS

FinOps 1

Cost, billing, and metering signals for API financial operations.

Modular Finops

FINOPS

Security Posture 3

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

Modular Authentication

http · 2 schemes

SECURITY

Modular Domain Security

TLSv1.3 · DNSSEC · DMARC

SECURITY

Modular Trust Center

SOC 2 Type 2

SECURITY

Resources

Get Started 3

Portal, sign-up, and the first successful call

DeveloperPortal

DeveloperPortal

GettingStarted

GettingStarted

SignUp

SignUp

Documentation 2

Reference material describing how the API behaves

Documentation

Documentation

APIReference

APIReference

Agent Surfaces 2

MCP servers, agent skills, and machine-readable catalogs

LLMsTxt

LLMsTxt

WellKnown

WellKnown

Design & Contract 3

Pagination, idempotency, versioning, errors, and events

Lifecycle

Lifecycle

Conformance

Conformance

Conventions

Conventions

Build 4

SDKs, sample code, and the tooling you integrate with

GitHubOrganization

Packages

SDKs

CLI

Access & Security 4

Authentication, authorization, and security posture

DomainSecurity

Compliance

Authentication

TrustCenter

Operate 3

Status, limits, changes, and where to get help

Support

Support

StatusPage

StatusPage

ChangeLog

ChangeLog

Commercial 4

Pricing, plans, and the legal terms of use

Plans

Pricing

TermsOfService

PrivacyPolicy

Company 3

The organization behind the API

BlogRSS

BlogRSS

Website

Website

Blog

Blog

Source (apis.yml)

aid: modular
name: Modular
description: Modular is an AI infrastructure company building a unified inference stack that runs GenAI models from custom
  GPU kernels up to production cloud serving. Its open-source MAX framework (Modular Accelerated Xecution) and the Mojo systems
  programming language let teams serve frontier open models on NVIDIA, AMD, and Apple Silicon hardware. Modular exposes an
  OpenAI-compatible inference REST API (chat completions, completions, embeddings, and image/video responses) available as
  self-hosted containers, shared per-token endpoints, dedicated per-minute endpoints, and bring-your-own-cloud deployments
  through the Modular Console.
url: https://raw.githubusercontent.com/api-evangelist/modular/refs/heads/main/apis.yml
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: paid
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Paid
  confidence: medium
  source:
  - plans
  - authentication
  - security
  generated: '2026-11-06'
  method: derived
image: https://docs.modular.com/images/modular-metadata.png
x-type: company
x-source: vc-portfolio
x-backed-by:
- general-catalyst
- greylock
- gv
- sv-angel
x-tier: enriched
x-tier-reason: portfolio-lead
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-10-06'
x-docs-platform: mintlify
x-docs-platform-confidence: medium
x-docs-platform-checked: 2026-10-04
tags:
- Company
- Artificial Intelligence
- Machine Learning
- Inference
- LLM
- GPU
- Developer Tools
- Infrastructure
tags_raw:
- Company
- Artificial Intelligence
- Machine Learning
- Inference
- LLM
- GPU
- Developer Tools
- Infrastructure
- Machine-Learning
apis:
- name: MAX Inference REST API
  description: OpenAI-compatible inference API served by MAX. Exposes /v1/chat/completions, /v1/completions, /v1/embeddings,
    /v1/responses (image and video generation), and /v1/models. Hosted at api.modular.com with Bearer API-token auth, or self-hosted
    via `max serve`.
  humanURL: https://docs.modular.com/max/rest-api/
  baseURL: https://api.modular.com/v1
  tags:
  - Inference
  - LLM
  - Embeddings
  - Artificial Intelligence
  tags_raw:
  - Inference
  - LLM
  - Embeddings
  - AI
  properties:
  - type: Documentation
    url: https://docs.modular.com/max/rest-api/
  - type: OpenAICompatible
    url: https://docs.modular.com/max/inference/text-to-text/
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Plans
  url: plans/modular-plans-pricing.yml
- url: https://www.modular.com/blog/rss.xml
  type: BlogRSS
- type: DomainSecurity
  url: security/modular-domain-security.yml
- type: Website
  url: https://www.modular.com/
- type: DeveloperPortal
  url: https://console.modular.com/
- type: Documentation
  url: https://docs.modular.com/
- type: APIReference
  url: https://docs.modular.com/max/rest-api/
- type: GettingStarted
  url: https://docs.modular.com/max/get-started/
- type: Blog
  url: https://www.modular.com/blog
- type: GitHubOrganization
  url: https://github.com/modular
- type: Support
  url: https://www.modular.com/community
- type: Pricing
  url: https://www.modular.com/pricing
- type: SignUp
  url: https://console.modular.com/signup
- type: TermsOfService
  url: https://www.modular.com/legal/terms
- type: PrivacyPolicy
  url: https://www.modular.com/legal/privacy
- type: StatusPage
  url: https://status.modular.com
- type: Compliance
  url: https://www.modular.com/pricing
- type: LLMsTxt
  url: llms/modular-llms.txt
- type: Packages
  url: packages/modular-packages.yml
- type: SDKs
  url: packages/modular-packages.yml
- type: CLI
  url: cli/modular-cli.yml
- type: ChangeLog
  url: changelog/modular-changelog.yml
- type: Lifecycle
  url: lifecycle/modular-lifecycle.yml
- type: WellKnown
  url: well-known/modular-well-known.yml
- type: Conformance
  url: conformance/modular-conformance.yml
- type: Conventions
  url: conventions/modular-conventions.yml
- type: Authentication
  url: authentication/modular-authentication.yml
- type: TrustCenter
  url: security/modular-trust-center.yml
x-enrichment:
  date: '2026-07-20'
  status: enriched
  artifacts_added: 11
  pass: local-v1

Modular API — frequently asked questions

Does Modular have an API?

Yes. APIs.io lists 1 API from Modular, including MAX Inference REST API.

How do I authenticate with the Modular API?

Modular uses bearer-token authentication (http · 2 schemes). The details are profiled on APIs.io as Modular Authentication.

How much does the Modular API cost?

Modular publishes its prices; its Modular Cloud plan is PER TOKEN OR GPU HOUR as of 2026-10-07. APIs.io lists 7 pricing plans for Modular, with each plan's price, limits and inclusions under Pricing on this page.

Is the Modular API ready for AI agents?

Modular has a Kin Score of 44.5 out of 100 (developing) and an Agent Readiness score of 2.5 (human-only), scored by API Evangelist on 2026-11-06.

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