Liquid AI

Liquid AI is an MIT spinoff developing Liquid Foundation Models (LFMs) - a new class of generative models based on liquid neural networks. Offers LFM2 (2.6B / 8B-A1B / 24B-A2B) and LFM2.5 (350M / 1.2B variants) with text, vision, audio, and thinking modes. The LEAP platform enables LFM customization and on-device deployment.

Liquid AI publishes 1 API on the APIs.io network. Tagged areas include Artificial Intelligence, LLM, Inference, Foundation Models, and Liquid Networks.

Liquid AI’s developer surface includes documentation and 9 more developer resources.

🌐 Visit website 📡 Source on GitHub

16.6/100 emerging ▬ flat Agent 1/100 human only Front door AI 6/6 dominant saas Full breakdown ↓
scored 2026-10-04 · rubric v0.23.0

1 API

Artificial Intelligence LLM Inference Foundation ModelsLiquid NetworksEdge AI On-Device

Kin Score

Kin Score How this is scored →
scored 2026-10-04 · rubric v0.23.0

Composite quality — 16.6/100 · emerging

Contract Quality 0.0 / 21

Developer Ergonomics 4.3 / 17

Access Clarity 4.0 / 17

Operational Transparency 0.9 / 11

Contract Governance 0.0 / 10

Discoverability 6.2 / 9

Regulatory Posture 0.8 / 15

Agent readiness — 1/100 · human only

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 0 / 12

Machine-Readable Auth 0 / 10

Idempotency 0 / 9

Stable Error Semantics 0 / 8

Request/Response Examples 0 / 7

Rate-Limit Signaling 7 / 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 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/liquid-ai: 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 →

APIs 1

Individual APIs this provider publishes, each with its own machine-readable definition.

Liquid AI Platform API

Hosted inference and customization API for the LFM family. Includes Liquid Playground and LEAP customization/deployment platform. LFM models also distributed on Hugging Face and...

Pricing Plans 1

Published pricing tiers and plan structures.

Liquid Ai Plans Pricing

1 plans

PLANS

Rate Limits 1

Documented rate limits and quota policies.

Liquid Ai Rate Limits

1 limits

RATE LIMITS

FinOps 1

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

Liquid Ai Finops

FINOPS

Security Posture 1

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

Liquid Ai Domain Security

TLSv1.3 · HSTS · DNSSEC · DMARC

SECURITY

Resources

Documentation 1

Reference material describing how the API behaves

Documentation

Documentation

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

LlmsText

LlmsText

Build 1

SDKs, sample code, and the tooling you integrate with

GitHubOrganization

GitHubOrganization

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Operate 1

Status, limits, changes, and where to get help

RateLimits

RateLimits

Commercial 2

Pricing, plans, and the legal terms of use

Plans

Plans

FinOps

FinOps

Company 2

The organization behind the API

LinkedIn

Website

Website

Other 1

Properties that don't map to a standard resource type

HuggingFace

HuggingFace

Source (apis.yml)

aid: liquid-ai
url: https://raw.githubusercontent.com/api-evangelist/liquid-ai/refs/heads/main/apis.yml
name: Liquid AI
kind: company
description: Liquid AI is an MIT spinoff developing Liquid Foundation Models (LFMs) - a new class of generative models based
  on liquid neural networks. Offers LFM2 (2.6B / 8B-A1B / 24B-A2B) and LFM2.5 (350M / 1.2B variants) with text, vision, audio,
  and thinking modes. The LEAP platform enables LFM customization and on-device deployment.
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:
  - plans
  generated: '2026-07-22'
  method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/liquid-ai.png
x-docs-platform: mintlify
x-docs-platform-confidence: medium
x-docs-platform-checked: 2026-10-03
tags:
- Artificial Intelligence
- LLM
- Inference
- Foundation Models
- Liquid Networks
- Edge AI
- On-Device
tags_raw:
- AI
- LLM
- Inference
- Foundation Models
- Liquid Networks
- Edge AI
- On-Device
created: '2026-05-08'
modified: '2026-05-08'
specificationVersion: '0.23'
apis:
- aid: liquid-ai:platform
  name: Liquid AI Platform API
  description: Hosted inference and customization API for the LFM family. Includes Liquid Playground and LEAP customization/deployment
    platform. LFM models also distributed on Hugging Face and via OpenRouter for hosted inference (e.g. LFM2-24B-A2B at $0.03/M
    input, $0.12/M output; LFM2.5-1.2B-Instruct/Thinking free).
  image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/apis-json-logo.jpg
  humanURL: https://docs.liquid.ai/
  baseURL: https://api.liquid.ai
  tags:
  - Artificial Intelligence
  - LLM
  - Chat Completions
  - Vision
  - Audio
  - Edge AI
  - On-Device
  tags_raw:
  - AI
  - LLM
  - Chat Completions
  - Vision
  - Audio
  - Edge AI
  - On-Device
  properties:
  - type: Documentation
    url: https://docs.liquid.ai/
  - type: GettingStarted
    url: https://docs.liquid.ai/lfm/getting-started/welcome
  - type: Pricing
    url: https://www.liquid.ai/pricing
  - type: Playground
    url: https://demos.liquid.ai/
  - type: HuggingFace
    url: https://huggingface.co/LiquidAI
  - type: LEAP
    url: https://www.liquid.ai/
common:
- type: DomainSecurity
  url: security/liquid-ai-domain-security.yml
- type: GitHubOrganization
  url: https://github.com/Liquid4All
- type: LinkedIn
  url: https://www.linkedin.com/company/liquid-ai-inc
- type: Website
  url: https://www.liquid.ai/
- type: Documentation
  url: https://docs.liquid.ai/
- type: HuggingFace
  url: https://huggingface.co/LiquidAI
- type: Plans
  url: plans/liquid-ai-plans-pricing.yml
- type: RateLimits
  url: rate-limits/liquid-ai-rate-limits.yml
- type: FinOps
  url: finops/liquid-ai-finops.yml
- type: LlmsText
  url: https://docs.liquid.ai/llms.txt
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com

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/liquid-ai"

All providers

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

Every operation they expose

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

How their score was established

curl "https://apis.io/api/v1/providers/liquid-ai/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.