> For the complete documentation index, see [llms.txt](https://docs.liqui.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.liqui.io/overview/introduction.md).

# Introduction

**MegaETH** introduces a new environment for on-chain trading, enabling applications to operate with real-time execution and high throughput. \
As the ecosystem grows, liquidity becomes distributed across multiple exchanges, pools, and trading venues.

**For traders**, this means comparing prices across different protocols to find the best execution. \
**For projects**, it means competing for liquidity and market visibility. \
**For liquidity providers**, fragmented markets can reduce capital efficiency and limit opportunities.

Liqui aggregates liquidity across the MegaETH ecosystem, helping users access better execution through a unified trading experience.

The protocol is designed as a modular liquidity infrastructure layer. Aggregation and routing form the foundation, allowing Liqui to connect liquidity from multiple sources while simplifying access for traders and market participants.

Over time, Liqui aims to expand through additional liquidity infrastructure, incentive programs, launch pools, and ecosystem participation mechanisms designed to support the growth of MegaETH-native assets.

By combining liquidity aggregation, trading infrastructure, and community-driven incentives, Liqui seeks to become a coordination layer connecting traders, liquidity providers, and emerging projects across the MegaETH ecosystem.

<figure><img src="/files/Gt4deHKOud1HA5LNDBsH" alt=""><figcaption></figcaption></figure>


---

# 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:

```
GET https://docs.liqui.io/overview/introduction.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
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.