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

# Introduction

### What is DataDance?

In the AI era, everyone needs a personal data asset vault, as AI will ultimately provide customized services for billions of people. DataDance is an Ethereum Layer 2 solution built for personal data assets. It enables AI to utilize user data while ensuring the privacy of that data.

DataDance caters to both individual users and commercial organizations (brands). Through the DataDance Key Derivation Protocol, the network’s nodes achieve multi-layered privacy protection while being EVM-compatible. This ensures absolute data privacy while enabling rights management, data exchange, asset airdrops, and claims.

### Why DataDance?

• Zero-Knowledge Proof Technology: It protects user privacy by only submitting necessary information proofs to the blockchain.

• Effective Allocation of Rights Between Brands and Users: A market-validated business model ensures fairness, effectiveness, and efficiency.

• DataDance Key Derivation Protocol: With one-time keys, unless users choose to reveal it, public information cannot link multiple transactions. At the same time, the protocol ensures that users only need to manage a root key to control all of their assets.

• EVM-Optimized VM: Utilizing an EVM-optimized virtual machine (VM) and EVM-compatible smart contracts enables efficient and easy-to-use data exchange. Additionally, precompiled contracts added to the EVM ensure valuable exchange of private data.


---

# 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://datadance.gitbook.io/ddc/introduction.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.
