> For the complete documentation index, see [llms.txt](https://auverachain.gitbook.io/auvin-chain/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://auverachain.gitbook.io/auvin-chain/readme.md).

# README

**The Settlement Layer of the On-Chain Economy in the AI Era**

Auvin Chain is a high-performance EVM-compatible Layer 2 built for the AI economy. Positioned at the intersection of AI Agents, DePIN, and Prediction Markets, Auvin provides the infrastructure that allows AI to autonomously hold assets, execute transactions, coordinate compute, and settle value fully on-chain.

### About This Document <a href="#about-this-document" id="about-this-document"></a>

This GitBook contains the complete technical whitepaper for Auvin Chain (AUV), a high-performance, EVM-compatible Layer 2 public blockchain positioned as "the AI blockchain for the Agent Economy."

### Versions <a href="#versions" id="versions"></a>

* **English Version** — See `en/` directory
* **中文版** — See `zh/` directory

### Abstract <a href="#abstract" id="abstract"></a>

Auvin Chain is at the convergence of three trillion-dollar markets — AI Agent Economy, Decentralized Physical Infrastructure Networks (DePIN), and Prediction Markets. It employs an Optimistic Rollup architecture with full EVM compatibility, achieving 95%–99% cost reduction through EIP-4844 Blob transactions.

The chain features:

* Self-developed cross-chain bridge (ZK + TSS hybrid architecture)
* Ve(3,3) Decentralized Exchange
* Decentralized Prediction Market
* AI Physical Mining (AI Box)
* Complete AI Agent technology stack (on-chain identity, autonomous payments, security framework)
* Proof of Stake consensus with VRF-based leader election
* AUV token with Buy-to-Burn deflationary mechanism

*Technical Whitepaper | May 2026*

<br>


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter:

```
GET https://auverachain.gitbook.io/auvin-chain/readme.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.