# The OZARUS Solution

### Ozarus transforms smart contract analysis into a real-time, AI-assisted experience. 🧠⚙️ <a href="#ozarus-transforms-smart-contract-analysis-into-a-real-time-ai-assisted-experience" id="ozarus-transforms-smart-contract-analysis-into-a-real-time-ai-assisted-experience"></a>

When users enter a contract address, our engine immediately checks for red flags 🚨 such as unlocked mint authority, freeze authority, stealth taxes, liquidity status, blacklist history, and unusual token distributions. This is followed by a comprehensive 0–100% security score that helps users assess risk at a glance. 👁️

Our AI continues to evolve by learning from scam patterns, verified data, and user feedback. The system cross-references data from Solana RPC nodes, decentralized databases, and onchain events to flag anomalies instantly.

We also offer browser and Telegram alerts 🔔 for live monitoring — giving users a chance to escape threats before they interact with a malicious token.

<figure><img src="/files/p0Uy4PuzOZIa1d2jzYwq" alt=""><figcaption></figcaption></figure>

Ozarus is not just a scanner — it’s a real-time intelligence layer for Web3 explorers. 🧭

### OZARUS introduces an AI-powered risk radar that simplifies and automates Web3 security: <a href="#ozarus-introduces-an-ai-powered-risk-radar-that-simplifies-and-automates-web3-security" id="ozarus-introduces-an-ai-powered-risk-radar-that-simplifies-and-automates-web3-security"></a>

* **Real-time smart contract scanning:** Instant detection of risks such as mint/freeze authority, locked liquidity, honeypots, stealth taxes, and suspicious wallets.
* **Unified security score:** Clear 0–100% rating with visual indicators. Actionable alerts: Notifications via Telegram and browser in case of critical changes.
* **Community intelligence:** Token holders can propose improvements, vote, and access premium modules.


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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://ozarus-ai.gitbook.io/whitepaper/getting-started/the-ozarus-solution.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.