# 01.AI

**Canonical:** https://apis.io/providers/01-ai/  
**Website:** https://www.01.ai/  
**APIs profiled:** 2

01.AI, founded by Kai-Fu Lee, is the creator of the Yi family of open-source and proprietary LLMs. The Lingyiwanwu open platform exposes OpenAI-compatible inference for Yi-Lightning, Yi-Lightning-Lite, Yi-Large, and Yi-Vision.

## Kin Score — 29.6 / 100 (thin)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 29.6).

| Facet | Score |
|---|---|
| Discoverability | 68.5 |
| Contract Quality | 55.9 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 10.5 |
| Developer Ergonomics | 23.8 |
| Commercial Clarity | 13.2 |
| Access Clarity | 13.2 |

## Agent readiness — 29.1 (agent-aware)

| Dimension | Value |
|---|---|
| Spec Presence | yes |
| Agentic Access | derived |
| Reversibility Documented | no |
| MCP Server | no |
| Auth Clarity | yes |
| 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 |

## Access

Freemium · Self-serve signup — onboarding: self-serve, pricing: freemium, trial: no (confidence: high).

## APIs (2)

- **Lingyiwanwu Platform API** — OpenAI-compatible chat completions and vision endpoints for the Yi model family. Base URL https://api.lingyiwanwu.com/v1. Available models include Yi-Lightning, Yi-Lightning-Lit...
- **01.AI Chat API** — OpenAI-compatible chat completions for Yi text and vision models.

## Agentic access (1)

- **01 Ai Agentic Access** — 1 operation · 1 acting

## Security (2)

- **01 Ai Authentication** — http · 1 scheme
- **01 Ai Domain Security** — TLSv1.3 · HSTS

## Plans (1)

- **01 Ai Plans Pricing**

## Tags

Artificial Intelligence, LLM, Yi, Open-Source, Foundation Models, Inference

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Profiled by [API Evangelist](https://apievangelist.com) and published on [APIs.io](https://apis.io/providers/01-ai/). Scores are computed from the provider's own public artifacts under a published rubric.