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

13.2/100 emerging ▬ flat Agent 3/100 human only Full breakdown ↓
scored 2026-08-25 · rubric v0.14.0

1 APIs

Artificial Intelligence LLM Inference Foundation ModelsLiquid NetworksEdge AI On-Device

Kin Score

Kin Score How this is scored →
scored 2026-08-25 · rubric v0.14.0

Composite quality — 13.2/100 · emerging

Contract Quality 0.0 / 25

Developer Ergonomics 1.9 / 20

Access Clarity 2.6 / 20

Operational Transparency 1.0 / 13

Contract Governance 0.0 / 12

Discoverability 7.6 / 10

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 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 Surface 0 / 5

Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. 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. Want it done for you? Prioritized profiling — $2,500 →

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.

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.
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
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

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