Introduction to Vector AI API

Welcome to the Vector AI API - the most advanced cryptocurrency analysis platform that empowers developers to build the next generation of crypto applications.

🎯 What is Vector AI?

Vector AI is a comprehensive cryptocurrency analysis platform that combines artificial intelligence, blockchain data, and real-time market analysis to provide developers with powerful tools for token evaluation, risk assessment, and market insights.

🚀 Key Capabilities

Feature
Description
Use Cases

🔍 Token Analysis

Complete security, market, and holder analysis

Due diligence, risk assessment, portfolio management

🧠 AI Research

Deep research reports powered by Perplexity AI

Investment decisions, market insights, education

🔍 X (Twitter) Analysis

Social sentiment and trend analysis

Social trading, sentiment tracking

🤖 VGPT Chat

AI-powered Q&A about crypto topics

Research assistance, customer support

🏆 Vector Scoring

Proprietary 0-100 scoring algorithm

Token ranking, automated filtering

🏗️ Who Uses Vector AI?

👨‍💻 Developers & Startups

  • DeFi Protocols - Token whitelisting and security screening

  • Trading Platforms - Risk assessment and token evaluation

  • Portfolio Apps - Real-time analysis and insights

  • Research Tools - Comprehensive token due diligence

🏢 Enterprise & Institutions

  • Investment Firms - Professional token analysis

  • Trading Desks - Automated screening and signals

  • Compliance Teams - Risk management and monitoring

  • Research Analysts - Market intelligence and reports

🤖 Trading Bots & Algorithms

  • Automated Trading - Token screening and filtering

  • Signal Generation - AI-powered trading signals

  • Risk Management - Real-time monitoring and alerts

  • Strategy Backtesting - Historical analysis and optimization

🔥 Why Choose Vector AI?

⚡ Performance & Reliability

  • Sub-3 Second Response - Lightning-fast analysis

  • 99.9% Uptime - Enterprise-grade reliability

  • Global CDN - Optimized for worldwide access

  • Auto-scaling - Handles high traffic seamlessly

🤖 Advanced AI Technology

  • Machine Learning Models - Continuously improving accuracy

  • Natural Language Processing - Human-readable insights

  • Real-time Data Processing - Live market analysis

  • Predictive Analytics - Future trend identification

🔒 Security & Privacy

  • Bank-grade Security - SOC 2 compliant infrastructure

  • API Key Authentication - Secure access control

  • Rate Limiting - Protection against abuse

  • Data Encryption - End-to-end security

📊 Comprehensive Data

  • Multiple Blockchains - Ethereum, BSC, Polygon, and more

  • Real-time Market Data - Price, volume, liquidity

  • On-chain Analysis - Holder patterns, transactions

  • Social Sentiment - Twitter/X analysis and trends

🎯 Common Use Cases

🔍 Token Due Diligence

Before investing in any token, get comprehensive analysis including:

  • Security assessment (honeypot, rug pull risks)

  • Market analysis (liquidity, volume, holder distribution)

  • AI-powered research reports

  • Social sentiment analysis

Example Implementation:

# Screen token before investment
result = vector_api.analyze_token("0xA0b86991c31cC17C4aC3ee2Ca90C7b8d2e5f234")
if result['data']['vector_score'] >= 70:
    print("✅ Token passed screening")
else:
    print("❌ Token failed screening")

🤖 Automated Trading Signals

Generate buy/sell/hold signals based on comprehensive analysis:

  • Real-time token scoring

  • Risk-adjusted recommendations

  • Multi-factor analysis

  • Confidence scoring

Example Implementation:

# Generate trading signal
signal = generate_signal(contract_address)
if signal['type'] == 'BUY' and signal['confidence'] > 80:
    execute_trade(contract_address, 'BUY')

📊 Portfolio Management

Monitor and manage crypto portfolios with:

  • Real-time risk assessment

  • Performance tracking

  • Rebalancing recommendations

  • Alert systems

Example Implementation:

# Monitor portfolio risk
for token in portfolio:
    risk = vector_api.analyze_token(token['address'])
    if risk['data']['vector_score'] < 50:
        send_alert(f"High risk detected: {token['name']}")

🏢 DeFi Protocol Integration

Integrate token screening into DeFi protocols:

  • Automated token whitelisting

  • Risk-based lending parameters

  • Liquidity pool safety checks

  • Governance token evaluation

Example Implementation:

# Whitelist tokens for DeFi protocol
def whitelist_token(contract_address):
    analysis = vector_api.analyze_token(contract_address)
    security = analysis['data']['analysis']['security']
    
    if (security['honeypot_risk'] == "✅ SAFE" and 
        security['contract_verified'] == True and
        analysis['data']['vector_score'] >= 75):
        return True
    return False

🌟 API Features Overview

🔍 Token Analysis Endpoint

POST /api/v1/token/scan

Comprehensive token analysis including:

  • Security Analysis - Honeypot detection, rug pull assessment

  • Market Analysis - Price, volume, liquidity, market cap

  • Holder Analysis - Distribution, whale activity, patterns

  • Vector Score - Proprietary 0-100 scoring algorithm

Response Example:

{
  "success": true,
  "data": {
    "vector_score": 85,
    "grade": "A",
    "recommendation": "🟢 SAFE TO TRADE",
    "analysis": {
      "security": {
        "honeypot_risk": "✅ SAFE",
        "rug_pull_risk": "✅ VERY_LOW"
      },
      "market": {
        "price": "$1.00",
        "market_cap": "$32.8B"
      }
    }
  }
}

🧠 AI Research Endpoint

POST /api/v1/token/research

Deep AI-powered research including:

  • Token Overview - Comprehensive project analysis

  • Recent News - Latest developments and updates

  • Sentiment Analysis - Market mood and trends

  • Technical Analysis - Chart patterns and indicators

  • Risk Assessment - Potential concerns and opportunities

🔍 X (Twitter) Analysis Endpoint

POST /api/v1/token/x-analysis

Social sentiment analysis including:

  • Trend Analysis - Hashtag and mention tracking

  • Sentiment Scoring - Positive/negative sentiment

  • Influencer Activity - Key opinion leader mentions

  • Volume Analysis - Social media engagement metrics

🤖 VGPT Chat Endpoint

POST /api/v1/token/vgpt-chat

AI-powered Q&A system for:

  • Token Questions - Ask anything about specific tokens

  • Market Analysis - Get AI insights on market conditions

  • Educational Content - Learn about crypto concepts

  • Research Assistance - Get help with investment decisions

🚀 Getting Started

1. Get Your API Key

Visit our Quick Start Guide to:

  • Generate your free API key

  • Understand rate limits and tiers

  • Make your first API call

2. Choose Your Integration

Select the best approach for your use case:

  • REST API - Direct HTTP requests

  • Python SDK - Native Python integration

  • JavaScript SDK - Frontend and Node.js

  • Custom Implementation - Any programming language

3. Implement Authentication

Secure your API integration with:

  • API key management

  • Rate limiting handling

  • Error recovery

  • Security best practices

4. Start Building

Use our comprehensive examples:

  • Python Examples

  • JavaScript Examples

  • cURL Examples

📈 Pricing & Plans

🆓 Free Tier

Perfect for getting started:

  • 60 requests/minute

  • Basic token analysis

  • Community support

  • No credit card required

💰 Premium Tiers

For serious applications:

  • 300+ requests/minute

  • Advanced features (X analysis, premium research)

  • Priority support

  • Custom integrations

🏢 Enterprise

For large-scale deployments:

  • Custom rate limits

  • White-label solutions

  • Dedicated support

  • SLA guarantees

🛡️ Security & Privacy

🔒 Data Security

  • Encrypted transmission - All data secured in transit

  • Secure storage - SOC 2 compliant data centers

  • Access controls - Role-based permissions

  • Audit logs - Complete activity tracking

🔐 API Security

  • API key authentication - Secure access control

  • Rate limiting - Protection against abuse

  • IP whitelisting - Additional security layer

  • Request validation - Input sanitization

🛡️ Privacy Protection

  • No data sharing - Your data stays private

  • GDPR compliant - European privacy standards

  • Data retention policies - Automatic cleanup

  • Anonymization - Personal data protection

🌐 Supported Blockchains

✅ Currently Supported

  • Ethereum (ETH) - Complete analysis

  • Binance Smart Chain (BSC) - Full features

  • Polygon (MATIC) - Comprehensive data

  • Arbitrum - Layer 2 analysis

  • Optimism - Scaling solution support

🚀 Coming Soon

  • Avalanche (AVAX)

  • Solana (SOL)

  • Cardano (ADA)

  • Polkadot (DOT)

📚 Documentation Structure

🎯 Getting Started

  • 📖 Introduction - You are here

  • ⚡ Quick Start - Get up and running

  • 🔧 Installation - Setup instructions

🔐 Authentication

  • 🔑 API Keys - Authentication guide

  • 🛡️ Security - Best practices

  • 🔄 Rate Limiting - Limits and handling

🎯 API Endpoints

  • 📊 Token Analysis - Core endpoint

  • 🧠 AI Research - Research reports

  • 🔍 X Analysis - Social analysis

  • 🤖 VGPT Chat - AI chat

💻 Examples

  • 🐍 Python - Python integration

  • 🟨 JavaScript - JS/Node.js examples

  • 🔗 cURL - Command line examples

🛠️ Support

  • ❌ Common Errors - Solutions

  • 🔍 Debugging - Debug guide

  • ❓ FAQ - Frequently asked questions

🎯 Next Steps

  1. 📖 Read the Quick Start Guide - Get your API key and make your first call

  2. 🔍 Explore Token Analysis - Understand the core endpoint

  3. 💻 Check Code Examples - See real implementations

  4. 🚀 Start Building - Create your crypto application

🆘 Getting Help

📞 Support Channels

🌟 Community

Ready to revolutionize your crypto application? Let's build the future together! 🚀

Get Started →

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