# Liquid AI

**Canonical:** https://apis.io/providers/liquid-ai/  
**Website:** https://www.liquid.ai/  
**APIs profiled:** 1

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.

## Kin Score — 13.2 / 100 (emerging)

Scored 2026-08-25 under rubric 0.14.0. Trend: flat (+0.0 from 13.2).

| Facet | Score |
|---|---|
| Discoverability | 75.9 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 7.9 |
| Developer Ergonomics | 9.5 |
| Commercial Clarity | 13.2 |
| Access Clarity | 13.2 |

## Agent readiness — 2.5 (human-only)

| Dimension | Value |
|---|---|
| Spec Presence | no |
| Agentic Access | no |
| Reversibility Documented | no |
| MCP Server | no |
| Auth Clarity | no |
| Idempotency | no |
| Error Semantics | no |
| OpenAPI Examples | no |
| Rate Limit Signal | documented |
| Event Surface Described | no |
| Agent Skills | no |
| Well Known Catalog | no |
| Consent Identity | no |
| Agent Card | no |
| Dry Run Mode | no |
| Delegated Identity | no |
| Protected Resource Metadata | no |
| Dynamic Client Registration | no |
| Agentic Commerce | no |

## Access

Unknown — onboarding: unknown, pricing: unknown, trial: no (confidence: low).

## APIs (1)

- **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...

## Security (1)

- **Liquid Ai Domain Security** — TLSv1.3 · HSTS · DNSSEC · DMARC

## Plans (1)

- **Liquid Ai Plans Pricing**

## Tags

Artificial Intelligence, LLM, Inference, Foundation Models, Liquid Networks, Edge AI, On-Device

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Profiled by [API Evangelist](https://apievangelist.com) and published on [APIs.io](https://apis.io/providers/liquid-ai/). Scores are computed from the provider's own public artifacts under a published rubric.