# Overview

Lucidity is an AI-powered prediction and matching engine designed to revolutionize how users navigate the onchain landscape. At its core, Lucidity is an ensemble of micro-prediction models, each designed to predict a specific aspect or feature related to user behaviour, protocol performance, or asset characteristics. These models are then integrated into a modular framework that allows anyone to build customizable matching engines tailored to specific use cases within the Web3 ecosystem.

Imagining the web3 landscape as interactions  across three nodes

<figure><img src="https://lh7-rt.googleusercontent.com/docsz/AD_4nXeTh0RQ5e1Zbx9KOKfQZCde-36ClJPMxxUvGgVCczwJpu9EU3pGgEaXV2A9CuY4kUIsHsJR04u5E0nNADVlcgtYqKinWsis6Dcddd50CFAdOLlG4oxjt1DTu6YLR2KXdlwnd4jjqn_hLYFAAskLd8Tiby6f?key=Rb3iUr6ZM3snxPOuw659PA" alt="" width="375"><figcaption></figcaption></figure>

Each edge connecting these nodes represents a myriad of use cases:

* Protocols <> Wallets: AI Agents, DeFi strategies, Governance delegations, TVL bootstrapping, Developer matching, in-game experiences etc.
* Assets <> Wallets: Portfolio management, Airdrop campaigns, NFT collection recommendation, Quests matching, etc.
* Protocols <> Assets: Liquidity management, Markets support, Incentives allocation, Gated community building, etc.

Lucidity’s goal is to create a modular and scalable personalization layer that can adapt to various use cases across Web3.


---

# Agent Instructions: 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.lucidity.finance/protocol/overview.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.