ELIZA'S FUSION (ai16z)

Twitter Scraper API Implementation and Its Role in SLEUTHI Ecosystem

The Twitter Scraper API is an advanced tool designed to retrieve the top 10 tweets based on user queries, eliminating the need for a Twitter API key. By integrating the agent-twitter-client library from ai16z’s GitHub repository, this tool allows traders to analyze social sentiment for cryptocurrency trends. With deployment on Vercel for scalability and testing via Postman, the tool ensures efficiency and reliability in sentiment analysis.

Implementation Steps

1. Setting Up the Environment

• Ensure Node.js and npm are installed. Download from Node.js if not available.

2. Creating a New Project

• Initialize a new Node.js project:

mkdir twitter-scraper-api

cd twitter-scraper-api

npm init -y

3. Installing Dependencies

• Install required dependencies:

npm install express dotenv

npm install agent-twitter-client

4. Directory Structure

Ensure the project follows this structure:

/twitter-scraper-api

|-- .env

|-- .gitignore

|-- index.js

|-- package.json

5. Configuring the .env File

• Add Twitter credentials:

TWITTER_USERNAME=<your_username>

TWITTER_PASSWORD=<your_password>

TWITTER_EMAIL=<your_email>

PORT=3000

6. Configuring the .gitignore File

• Exclude unnecessary files:

node_modules/

.env

7. Implementing the Code

• Save the provided index.js script in the project directory.

8. Configuring Deployment on Vercel

• Create a vercel.json file for deployment configuration:

{

"version": 2,

"builds": [

{ "src": "index.js", "use": "@vercel/node" }

],

"routes": [

{ "src": "/(.*)", "dest": "index.js" }

]

}

9. Deploying to Vercel

• Log in to Vercel via GitHub, GitLab, Google, or email.

• Link the project repository and deploy using the Vercel dashboard.

10. Testing with Postman

• Use Postman to test the deployed API:

• Endpoint: https://<your-vercel-deployment-url>/tweets

• Query Parameters:

• q (optional): Search term (default: “DOGECOIN”).

• limit (optional): Number of tweets to retrieve (default: 10).

---

Impact on SLEUTHI Ecosystem

Real-Time Sentiment Insights

SLEUTHI users can rely on the Eliza Twitter Scraper API to process unstructured social data from platforms like Twitter, identifying trends and sentiments to shape their trading strategies.

Enhanced Decision-Making

By transforming social chatter into actionable insights, Eliza enables traders to predict market movements driven by hype or fear.

Seamless Integration

With deployment on Vercel ensuring scalability, Eliza operates efficiently within SLEUTHI's ecosystem, providing valuable insights in real time.

Future Expansion

Eliza’s functionality can expand to include data from platforms like Discord, Telegram, and X for comprehensive sentiment analysis.

---

The SLEUTHI Edge

By incorporating Eliza, SLEUTHI takes a leap forward in achieving its vision of “Intelligence in Motion.” The ability to harness and analyze social sentiment empowers users to:

• Identify Opportunities: Detect emerging trends before they impact price movements.

• Optimize Strategies: Adjust trading behavior based on real-time market sentiment.

• Navigate Volatility: Gain an advantage in unpredictable market environments.

Eliza in SLEUTHI: Turning Noise into Opportunity.