# Welcome to $FAGOT – First AI Gatekeeper of Transactions

$FAGOT = **F**irst **A**I **G**atekeeper **O**f **T**ransactions

Our mission in creating $FAGOT is to save over $6 billion USD in annual losses caused by **FRONTEND hacks, phishing + smart contract scams, and pig butchering schemes!**\
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$FAGOT is a <mark style="background-color:green;">**decentralized, open-sourced, AI-powered blockchain transaction verification platform**</mark> designed to empower all users—whether human, robot, or AI Trade Bot—to securely scan pending transactions in just two seconds.&#x20;

By providing a robust layer of security, $FAGOT ensures that every blockchain transaction undergoes a thorough, real-time background review before execution.

$FAGOT operates as a decentralized platform, managed autonomously by AI to maintain transparency and integrity throughout the audit process.

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**Benefits of Using $FAGOT:**<br>

1. **FRONTED Protection:** $FAGOT checks whether the **frontend** and smart contract displays **match**, preventing phishing scams where the frontend disguises itself as a legitimate transaction!
2. **Eliminate Phishing Address Risks:** FAGOT will Never worry about phishing attacks again—any unsafe transaction is flagged immediately.&#x20;
3. **Enhanced Protection:** Beyond standard wallet transaction simulations, $FAGOT leverages cutting-edge AI analysis to detect potential risks in smart contracts (e.g., issues related to Permit2).
4. **Secure Airdrops & NFT Rewards:** Claim your airdrops and NFT rewards with confidence, knowing that you won’t mistakenly approve a malicious contract and lose your funds.

$FAGOT is preparing to launch! Join our [<mark style="color:blue;">**Daily Quest**</mark>](https://www.fagot.ai/dailyChallenge) now to experience firsthand the risks of transactions and earn points towards future airdrop rewards!


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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://fagot.gitbook.io/fagot.ai-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.