# Welcome to CATA

CATA provides a complete one-stop solution for Metaverse data storage. CATA creatively extends the flow protocol to provide decentralized storage while achieving flexible metadata management, and is also compatible with SQL queries, providing extremely user-friendly and developer-friendly data access.

## <img src="/files/-MfH69Mi8KhJjTnkTFQL" alt="" data-size="line"> The first stop is NFT !

NFT, the hottest topic in the current decentralized world, has redefined asset ownership and created unprecedented value in the digital world. As an infrastructure, [Flow](https://www.onflow.org/) forms a natural decentralized marketplace for NFT, enabling low transaction fees and a better user experience.

CATA has designed a set of interaction protocols for Flow's Cadence contract layer, enabling integration and full traceability of token transactions and data storage, providing a one-stop solution for NFT publishing, storage, management and distribution. It is fully compatible with Cadence's resource-oriented capabilities, allowing Cadence developers to easily connect NFT contracts to storage facilities.

For more information:

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[For NFT!](/cata-docs/introduction/core-concepts.md)
{% endcontent-ref %}

## :bulb: Explore

### For details

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[What is CATA](/cata-docs/introduction/what-is-cata.md)
{% endcontent-ref %}

### CATA's Metadata Engine, Minerva, is released now!

{% content-ref url="/pages/-Mf1pqA9UAyk5ZOML62B" %}
[Minerva](/cata-docs/introduction/minerva.md)
{% endcontent-ref %}

### **For developers**

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[Getting Started](/cata-docs/tutorial/get-started.md)
{% endcontent-ref %}

### CATA API & SDKs

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[CATA Restful API](/cata-docs/api/cata-restful-api.md)
{% endcontent-ref %}


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# 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://cata-network.gitbook.io/cata-docs/readme.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.