diff --git a/ai_agent_tutorials/xai_finance_agent/README.md b/ai_agent_tutorials/xai_finance_agent/README.md
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+## 📊 AI Finance Agent with xAI Grok
+This application creates a financial analysis agent powered by xAI's Grok model, combining real-time stock data with web search capabilities. It provides structured financial insights through an interactive playground interface.
+
+### Features
+
+- Powered by xAI's Grok-beta model
+- Real-time stock data analysis via YFinance
+- Web search capabilities through DuckDuckGo
+- Formatted output with tables for financial data
+- Interactive playground interface
+
+### How to get Started?
+
+1. Clone the GitHub repository
+```bash
+git clone https://github.com/Shubhamsaboo/awesome-llm-apps.git
+```
+
+2. Install the required dependencies:
+
+```bash
+cd ai_agent_tutorials/xai_finance_agent
+pip install -r requirements.txt
+```
+
+3. Get your OpenAI API Key
+
+- Sign up for an [xAI API account](https://console.x.ai/)
+- Set your XAI_API_KEY environment variable.
+```bash
+export XAI_API_KEY='your-api-key-here'
+```
+
+4. Run the team of AI Agents
+```bash
+python xai_finance_agent.py
+```
+
+5. Open your web browser and navigate to the URL provided in the console output to interact with the AI financial agent through the playground interface.
diff --git a/ai_agent_tutorials/xai_finance_agent/requirements.txt b/ai_agent_tutorials/xai_finance_agent/requirements.txt
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+phidata
+duckduckgo-search
+yfinance
+fastapi[standard] 
+openai
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diff --git a/ai_agent_tutorials/xai_finance_agent/xai_finance_agent.py b/ai_agent_tutorials/xai_finance_agent/xai_finance_agent.py
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+# import necessary python libraries
+from phi.agent import Agent
+from phi.model.xai import xAI
+from phi.tools.yfinance import YFinanceTools
+from phi.tools.duckduckgo import DuckDuckGo
+from phi.playground import Playground, serve_playground_app
+
+# create the AI finance agent
+agent = Agent(
+    name="xAI Finance Agent",
+    model = xAI(id="grok-beta"),
+    tools=[DuckDuckGo(), YFinanceTools(stock_price=True, analyst_recommendations=True, stock_fundamentals=True)],
+    instructions = ["Always use tables to display financial/numerical data. For text data use bullet points and small paragrpahs."],
+    show_tool_calls = True,
+    markdown = True,
+    )
+
+# UI for finance agent
+app = Playground(agents=[agent]).get_app()
+
+if __name__ == "__main__":
+    serve_playground_app("xai_finance_agent:app", reload=True)
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