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

# Welcome to CapyData

​

<figure><img src="https://images.gitbook.com/__img/dpr=2,width=760,onerror=redirect,format=auto,signature=1970244517/https%3A%2F%2Fcapydata.vercel.app%2Fcapybara.png" alt=""><figcaption></figcaption></figure>

#### What is CapyData? <a href="#what-is-capydata" id="what-is-capydata"></a>

**CapyData** is a decentralized data marketplace built on the **Sui blockchain**. It allows users to securely monetize their datasets or purchase high-quality data for AI, research, and analytics without relying on centralized intermediaries.Unlike traditional cloud storage or data brokers, CapyData ensures that **you remain in control**. Files are encrypted on your device before they ever touch the internet, and access is managed strictly through ownership of digital assets (NFTs).

**Core Mission**

Our mission is to power Web3-native AI and data workflows by combining:

1. **Privacy:** Client-side encryption (SEAL).
2. **Permanence:** Decentralized storage (Walrus).
3. **Ownership:** Move-based NFTs for access control.

**Key Features**

| Feature                       | Description                                                                                           |
| ----------------------------- | ----------------------------------------------------------------------------------------------------- |
| **🔐 Client-Side Encryption** | Files are encrypted in your browser using SEAL technology. We (the platform) never see your raw data. |
| **☁️ Decentralized Storage**  | Encrypted data blobs are stored on **Walrus**, ensuring high availability and censorship resistance.  |
| **💎 NFT Access Control**     | Buying a dataset mints a unique NFT. This NFT is your key to decrypt and download the file.           |
| **🤝 Trustless Verification** | Decryption is only authorized after on-chain verification of your purchase.                           |

**🔗 Quick Links**

| Resource                                                                                                                         | Description                        |
| -------------------------------------------------------------------------------------------------------------------------------- | ---------------------------------- |
| [**Live App** ](https://capydata.wal.app/)                                                                                       | The official marketplace interface |
| [**GitHub** ](https://github.com/khoanna/decentralized-data-marketplace)                                                         | Open source repositories           |
| [**Contract** ](https://suiscan.xyz/testnet/object/0xf6417d0eb9778dfbde6955aae22572bc0ef135a9e78149e53be137adb74efe17/contracts) | Verified Move Modules              |

**Note:** CapyData is currently live on **Sui Testnet** and **Walrus Testnet**. Please use the faucet to get test tokens before trading.<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://capydata.gitbook.io/capydata-docs/welcome-to-capydata.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.
