Getting Started

Your complete guide to Vector AI's blockchain intelligence platform

Welcome to Vector AI

This comprehensive guide will help you master Vector AI's platform for token analysis, risk assessment, and market intelligence. Whether you're a beginner or advanced user, you'll find everything you need to make informed crypto decisions.

Understanding Your Analysis Results

Vector AI provides comprehensive token analysis through multiple tools and platforms. Here's how to interpret and use the results effectively.

Understanding Your Results

VectorScore™ Grading System

A+ (95-100)
Minimal Risk - Very High Confidence
Strong Buy - Exceptional quality, minimal risks

A (90-94)
Very Low Risk - High Confidence
Buy - Excellent fundamentals, very safe

B+ (85-89)
Low Risk - High Confidence
Consider - Good token, minor concerns

B (80-84)
Low-Medium Risk - Medium Confidence
Research - Above average, some caution needed

C+ (75-79)
Medium Risk - Medium Confidence
Caution - Average token, notable concerns

C (70-74)
Medium-High Risk - Low Confidence
High Caution - Below average, multiple issues

D (60-69)
High Risk - Low Confidence
Avoid - Poor quality, significant risks

F (0-59)
Critical Risk - Very Low Confidence
Do Not Buy - Likely scam or major issues

Key Risk Indicators

Security Risks:

Contract Vulnerabilities - Code exploits and backdoors
Honeypot Detection - Inability to sell tokens
Rug Pull Indicators - Team control and exit risks

Market Risks:

Liquidity Issues - Low trading volume or locked liquidity
Price Manipulation - Artificial price inflation
Whale Concentration - Large holder dominance

Team & Project Risks:

Anonymous Teams - Unknown or unverified developers
Past Project History - Previous failed or scam projects
Social Authenticity - Fake followers or bot activity

Confidence Levels

Very High Confidence (90-100%)

Multiple data sources confirm findings
Strong historical data available
Clear patterns identified

High Confidence (75-89%)

Most data sources align
Good data quality
Minor uncertainties

Medium Confidence (50-74%)

Mixed signals from data sources
Some data limitations
Moderate uncertainties

Low Confidence (25-49%)

Limited data available
Conflicting information
High uncertainty

Very Low Confidence (0-24%)

Insufficient data
Major data conflicts
Analysis unreliable

Quick Start Guide

Step 1: Choose Your Platform

VGPT Web Interface - Best for detailed analysis

Visit vectorai.io
No registration required
Full feature access
Desktop optimized

Telegram Bots - Perfect for mobile use

@VectorIQPlusBot - Advanced analysis
@VectorIQBot - Quick checks
@VectorScopeBot - Social intelligence

Mobile App - Coming Q4 2025

Native iOS/Android experience
Offline analysis caching
Push notifications

Step 2: Perform Your First Analysis

Basic Token Analysis:

Copy any contract address
Paste it into VGPT or send to bot
Wait for comprehensive analysis
Review VectorScore™ and findings

Advanced Queries:

"Is this token safe to invest in?"
"What are the main risks I should know about?"
"How does this compare to [other token]?"
"Has this team launched tokens before?"

Step 3: Interpret Results

Review the VectorScore™:

A/B grades: Generally safer investments
C grades: Proceed with caution
D/F grades: High risk, likely avoid

Check Critical Factors:

Contract security status
Liquidity lock information
Team credibility assessment
Community authenticity

Make Informed Decisions:

Consider multiple analysis sources
Factor in your risk tolerance
Never invest more than you can afford to lose
Use analysis as one part of your research

Platform-Specific Guides

VGPT Web Interface Guide

Getting Started:

Navigate to the VGPT section
Enter contract address in chat
Ask questions in natural language
Explore detailed analysis sections

Pro Tips:

Be specific with your questions
Ask follow-up questions for clarity
Use the conversation history
Bookmark important analyses

Advanced Features:

Custom alert setup
Historical analysis comparison
Multi-token batch analysis
Export analysis reports

Telegram Bot Guide

Vector IQ+ Bot (@VectorIQPlusBot):

Send /start to begin
Send contract address for analysis
Use /help for command list
Set alerts with /alert [address]

Vector IQ Bot (@VectorIQBot):

Quick analysis for fast decisions
Simplified scoring system
Mobile-optimized responses
Perfect for on-the-go checks

Vector Scope Bot (@VectorScopeBot):

Social media sentiment analysis
Community health metrics
Influencer tracking
Market buzz monitoring

API Integration Guide

Authentication:

Obtain API key from dashboard
Include key in request headers
Monitor usage limits
Implement proper error handling

Basic Usage:

import requests

headers = {'Authorization': 'Bearer YOUR_API_KEY'}
response = requests.post(
    'https://api.vectorai.io/analyze',
    json={'address': '0x...'},
    headers=headers
)

Best Practices:

Cache results appropriately
Handle rate limits gracefully
Validate input addresses
Implement retry logic

Understanding Analysis Components

Security Analysis

Contract Security:

Vulnerability scanning
Code audit results
Known exploit checks
Upgrade mechanisms

Liquidity Analysis:

Pool depth assessment
Lock status verification
Removal risk evaluation
Trading volume analysis

Honeypot Detection:

Sell restriction checks
Transfer limitation tests
Tax mechanism analysis
Exit ability verification

Market Intelligence

Price Analysis:

Current price trends
Volume patterns
Market cap assessment
Trading pair health

Holder Analysis:

Distribution patterns
Whale concentration
Recent activity trends
Holder behavior analysis

Social Sentiment:

Community engagement
Social media buzz
Influencer mentions
Sentiment scoring

Team & Project Assessment

Team Verification:

Identity verification
Professional backgrounds
Past project history
Social media presence

Project Legitimacy:

Whitepaper quality
Roadmap assessment
Partnership verification
Development activity

Communication Analysis:

Official channel activity
Community responsiveness
Transparency levels
Update frequency

Risk Management Best Practices

Investment Guidelines

Before Investing:

Always perform comprehensive analysis
Cross-reference multiple sources
Consider your risk tolerance
Set clear investment goals

Position Sizing:

Never invest more than you can afford to lose
Diversify across multiple projects
Consider correlation risks
Adjust based on confidence levels

Exit Strategies:

Set profit-taking targets
Define stop-loss levels
Monitor ongoing developments
Be prepared to exit quickly

Red Flags to Watch

Critical Warning Signs:

Anonymous or fake team members
Locked or missing liquidity
Honeypot or sell restrictions
Unrealistic promises or returns

Moderate Concerns:

High token concentration
Limited trading history
Weak social presence
Unclear use cases

Market Timing Factors:

Overall market conditions
Sector-specific trends
Regulatory environment
Technical analysis signals

Ongoing Monitoring

Regular Reviews:

Monitor your holdings regularly
Stay updated on project developments
Watch for changes in risk factors
Adjust positions as needed

Alert Systems:

Set up price alerts
Monitor security changes
Track team communications
Watch for market anomalies

Advanced Features & Tips

Custom Analysis Workflows

Multi-Token Comparison:

Analyze similar projects side-by-side
Compare risk/reward profiles
Identify best opportunities
Make informed choices

Historical Analysis:

Review past performance
Identify trend patterns
Learn from previous decisions
Improve analysis skills

Sector Analysis:

Understand sector trends
Identify emerging opportunities
Compare sector leaders
Time market entries

Integration Opportunities

Trading Bot Integration:

Automate analysis workflows
Set up risk-based triggers
Implement stop-loss mechanisms
Create custom strategies

Portfolio Management:

Track overall portfolio health
Monitor risk distribution
Rebalance based on analysis
Optimize position sizes

Alert Systems:

Create custom notification rules
Monitor specific risk factors
Track market opportunities
Stay informed automatically

Community Resources

Learning Materials:

Video tutorials and guides
Written documentation
Best practice examples
Case study analyses

Community Support:

Telegram discussion groups
Discord developer channels
Twitter updates and tips
Direct support channels

Feedback & Improvement:

Report analysis issues
Suggest new features
Share success stories
Contribute to development

Troubleshooting & Support

Common Issues

Analysis Not Working:

Verify contract address format
Check network connectivity
Try alternative platforms
Contact support if persistent

Unexpected Results:

Cross-reference with other sources
Check analysis timestamp
Consider market volatility
Review confidence levels

Platform Access Issues:

Clear browser cache
Try incognito/private mode
Check for platform updates
Use alternative access methods

Getting Help

Self-Service Resources:

FAQ section
Documentation library
Video tutorials
Community forums

Direct Support:

Email support team
Telegram community chat
Discord developer support
Priority support for token holders

Feature Requests:

Submit improvement suggestions
Vote on proposed features
Join beta testing programs
Contribute to development roadmap

Staying Updated

Platform Updates

New Features:

Follow official announcements
Join beta testing programs
Monitor changelog updates
Participate in community discussions

Improvement Notifications:

Subscribe to update notifications
Follow social media channels
Join mailing lists
Enable push notifications

Market Intelligence

Industry Trends:

Stay informed about crypto trends
Monitor regulatory developments
Track technology innovations
Follow market sentiment

Best Practices Evolution:

Learn from community experiences
Adapt to new risk factors
Improve analysis techniques
Share knowledge with others