# Introduction

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Sherlock is the ultimate detective tool for crypto enthusiasts and investors alike. Our Browser extension helps you unlock the secrets of any crypto wallet address by providing you with behavioral data and entities it has interacted with. With Sherlock, you can quickly and easily see if a wallet has an Opensea account, if it is trading on exchanges like KuCoin, Binance, or if it has participated in any presales or airdrops, and much more.

Knowing the behavioral data and entities a crypto wallet address has interacted with is essential to understanding the true value and reputation of a wallet. With Sherlock, you can uncover hidden information about a wallet's activity, such as whether it has been involved in any shady or fraudulent schemes, or if it is associated with reputable projects and exchanges. This information can be critical for making informed decisions when investing or trading in the crypto space. By providing this level of transparency, Sherlock empowers users to take control of their own financial future and make better-informed decisions.

In addition to the current features, we have planned two updates for the Sherlock extension during its initial release. These updates will introduce new functionalities, such as the ability to view token prices held in a wallet and a phishing feature that will notify users if they are potentially accessing a malicious website. At Sherlock, we believe that staying informed is key to making informed decisions in the ever-changing world of crypto, and our extension provides the tools to do just that. With our continuous updates and dedication to privacy, Sherlock is the ultimate crypto detective tool.


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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://sherlock-2.gitbook.io/sherlock-whitepaper/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.
