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AI-Powered Natural Language Search: The DRep Explorer allows you to search for and filter Delegated Representatives using complex English queries with advanced sorting and filtering capabilities.

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What is the DRep Explorer?

The DRep Explorer is an advanced AI-powered tool for finding and analyzing Delegated Representatives (DReps) in the Cardano ecosystem. It provides comprehensive search capabilities that combine natural language processing with sophisticated filtering, enabling users to discover DReps based on voting behavior, governance participation, and detailed attributes.

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Key Features

AI-Powered Natural Language Search

Search using complex English queries

Advanced Multi-Level Sorting

Sort by voting power, participation, alignment, and more

Comprehensive DRep Profiles

View detailed metrics, voting history, and governance data

Real-Time Voting Analysis

Analyze voting patterns across multiple proposals

Smart Proposal Matching

Fuzzy matching with suggestions for proposal names

Performance Optimization

Intelligent caching for faster repeated queries

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How to Use the DRep Explorer

1

Enter Your Natural Language Query

Type your search criteria in plain English. The AI understands complex queries with multiple conditions.Basic Query Examples:
  • "Find DReps with more than 100M ADA voting power"
  • "Show active DReps with high participation rates"
  • "Find DReps registered in 2024"
Advanced Query Examples:
  • "Find DReps who voted yes on treasury proposals and no on parameter changes"
  • "Show active DReps with 90%+ participation who voted on Cardano NCL"
  • "Find DReps with more than 50 delegators who voted differently on governance vs economic proposals"
2

Choose Your Sorting Preferences

Select how you want results ordered using the sorting controls:Available Sort Fields:
  • Default - Smart sorting by voting power with tie-breaking
  • Name - Alphabetical order (A-Z or Z-A)
  • Voting Power - Amount of ADA delegated
  • Delegators - Number of delegating wallets
  • Participation - Percentage of proposals voted on
  • Alignment - Average alignment with community consensus
Sort Directions:
  • Ascending (ASC) - Lowest to highest (A-Z for names)
  • Descending (DESC) - Highest to lowest (Z-A for names)
3

Review AI Analysis

Each search includes an AI-generated explanation that provides:
  • Query interpretation - How the AI understood your request
  • Result insights - Key patterns and statistics
  • Matched proposals - Which governance proposals were identified
  • Performance metrics - Average voting power, participation rates, etc.
4

Explore Detailed DRep Profiles

Click on any DRep to view comprehensive information:Core Metrics:
  • Voting power (total ADA delegated)
  • Number of delegators
  • Participation rate (% of proposals voted on)
  • Global alignment score (alignment with community consensus)
Governance Activity:
  • Detailed voting history on recent proposals
  • Voting patterns and alignment analysis
  • Proposal-specific vote breakdowns
Profile Information:
  • Registration date and status
  • Stated motivations and objectives
  • Associated links and social media
5

Analyze Voting Patterns

Use the voting history section to understand DRep decision-making:Voting Analysis Features:
  • Vote alignment with majority decisions
  • Proposal categorization (InfoAction, ParameterChange, etc.)
  • Timeline of voting activity
  • Alignment percentages for each vote
  • Rationale and proposal context

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Advanced Search Techniques

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Complex Logical Queries

The AI understands sophisticated logical relationships between criteria: AND Logic (All conditions must be met):
  • "Find DReps who voted yes on treasury proposals AND have more than 100 delegators"
  • "Show active DReps with high participation AND voted on both NCL and parameter changes"
OR Logic (Any condition can be met):
  • "Find DReps who voted on either treasury withdrawals OR parameter changes"
  • "Show DReps with high voting power OR high participation rates"
Mixed Logic:
  • "Find active DReps who (voted yes on treasury OR voted no on parameter changes) AND have 90%+ participation"

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Proposal-Specific Searches

Search for DReps based on their voting behavior on specific governance proposals: Exact Proposal Matching:
  • "Find DReps who voted yes on the 2025 Net Change Limit"
  • "Show DReps who voted no on Cardano Treasury DeFi Liquidity Budget"
Proposal Type Filtering:
  • "Find DReps who voted on all parameter change proposals"
  • "Show DReps who abstained on treasury withdrawal proposals"
Multi-Proposal Analysis:
  • "Find DReps who voted yes on net change but no on treasury proposals"
  • "Show DReps who voted consistently across all InfoAction proposals"

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Attribute-Based Filtering

Search based on DRep characteristics and performance metrics: Voting Power Queries:
  • "Find DReps with between 10M and 100M ADA voting power"
  • "Show the top 10 DReps by voting power"
  • "Find DReps with minimal voting power but high participation"
Participation Analysis:
  • "Find DReps with 100% participation rate"
  • "Show DReps with low participation but high alignment"
  • "Find DReps who missed recent votes"
Registration and Status:
  • "Find DReps registered in 2024"
  • "Show inactive DReps with historical voting data"
  • "Find recently registered active DReps"

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Geographic and Demographic Searches

When location information is available:
  • "Find DReps from Europe"
  • "Show DReps with location information"

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Understanding Search Results

AI Explanations: Every search includes an intelligent explanation that helps you understand what the data means and identifies important patterns.

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Result Interpretation

The DRep Explorer provides detailed analysis of your search results: Quantitative Insights:
  • Total number of matching DReps
  • Average metrics (voting power, delegators, participation)
  • Distribution across different categories
  • Performance comparisons
Qualitative Analysis:
  • Common voting patterns
  • Governance participation trends
  • Notable outliers or exceptional cases
  • Recommendations for further exploration

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Performance Metrics Explained

Voting Power: Total ADA delegated to the DRep, indicating their influence in governance decisions. Participation Rate: Percentage of proposals the DRep was eligible to vote on that they actually voted on. Higher rates indicate more active governance participation. Global Alignment: Average percentage alignment with the community consensus across all votes. Higher scores indicate voting in line with the majority. Total Delegators: Number of individual wallets delegating to this DRep, indicating community trust and reach.

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Sorting and Pagination

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Intelligent Multi-Level Sorting

Results use sophisticated sorting with automatic tie-breaking:
  1. Primary Sort: Your selected field (voting power, participation, etc.)
  2. Tie-Breakers: Automatic secondary sorting by:
    • Voting Power (highest first)
    • Number of Delegators (most first)
    • Participation Rate (highest first)
    • Alignment Score (highest first)
    • Name (alphabetical)
This ensures consistent, meaningful ordering even when DReps have similar primary metrics.

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Pagination Controls

  • Page Navigation: Browse through large result sets efficiently
  • Results Per Page: Choose 10, 25, 50, or 100 results per page
  • Total Counts: Always shows total matching DReps across all pages
  • Smart Loading: Optimized queries ensure fast page loading

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Error Handling and Suggestions

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Proposal Name Assistance

When you reference proposals that can’t be found exactly, the system provides helpful guidance: Fuzzy Matching: Automatically finds proposals with similar names Suggestions: Offers alternative proposal names when exact matches fail Validation: Confirms which proposals were matched in your query Example:
  • Query: "Find DReps who voted on the cardano limit proposal"
  • System Response: “Could not find ‘cardano limit proposal’. Did you mean ‘2025 Net Change Limit’?”

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Query Refinement Help

When searches return no results, the system provides specific guidance: Broadening Suggestions: Recommendations to make queries less restrictive Alternative Approaches: Different ways to search for similar information
Constraint Analysis: Identifies which parts of your query are too restrictive

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Performance and Caching

First-Time Query Performance: Complex queries may take 10-15 seconds on first execution as the AI processes your request. Subsequent identical queries return in under 2 seconds due to intelligent caching.

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Performance Optimization

Smart Caching:
  • Base query results cached for 15 minutes
  • Sorting and pagination applied instantly to cached data
  • Cache warming for popular queries
Query Optimization:
  • Parallel database queries for complex searches
  • Optimized indexing for common search patterns
  • Progressive loading for large result sets
Best Performance Practices:
  1. Use specific proposal names rather than vague descriptions
  2. Combine related criteria in single queries rather than multiple searches
  3. Leverage caching by repeating successful queries with different sorting
  4. Use appropriate page sizes (larger pages reduce request overhead)

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API Integration

For developers building applications that use DRep data, the full API provides programmatic access to all DRep Explorer functionality. 
curl -X POST https://api.syncgovhub.com/api/drep/ai \
  -H "Content-Type: application/json" \
  -H "x-api-key: YOUR_API_KEY" \
  -d '{
    "query": "Find DReps with high participation rates",
    "page": 1,
    "limit": 20,
    "sort": "participation",
    "sortDirection": "desc"
  }'

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Best Practices and Tips

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Query Writing Best Practices

  1. Be Specific About Logic: Use “and”/“or” explicitly when combining criteria
    • ✅ "DReps who voted yes on A and no on B"
    • ❌ "DReps who voted yes on A, no on B" (ambiguous)
  2. Use Natural Language: Write queries as you would ask a human analyst
    • ✅ "Find active DReps with more than 50 delegators"
    • ❌ "DReps WHERE status=active AND delegators>50"
  3. Start Broad, Then Narrow: Begin with general queries and refine based on results
    • First: "Find DReps with high voting power"
    • Then: "Find active DReps with 10M+ voting power who voted on treasury proposals"
  4. Verify Proposal Names: Check the AI explanation to ensure proposals were matched correctly
    • Look for the “matchedProposals” section in results
    • Use suggestions when exact matches aren’t found

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Analysis Strategies

  1. Comparative Analysis: Compare DReps across different criteria
    • "Find DReps with high voting power but low participation"
    • "Show DReps with perfect alignment vs those with mixed voting"
  2. Trend Analysis: Look for patterns in voting behavior
    • "Find DReps who changed their voting patterns recently"
    • "Show DReps who consistently vote with the majority"
  3. Delegation Analysis: Understand delegation patterns
    • "Find DReps with many small delegators vs few large delegators"
    • "Show DReps with growing vs shrinking delegation"

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Troubleshooting Common Issues

Query Returns No Results:
  • Try broader criteria or remove some constraints
  • Check proposal names for typos or variations
  • Use OR logic instead of AND for more inclusive results
Unexpected Results:
  • Review the AI explanation to understand query interpretation
  • Check matched proposals to verify correct proposal identification
  • Refine query language for better AI understanding
Slow Performance:
  • First-time complex queries need AI processing time
  • Subsequent identical queries will be much faster
  • Consider breaking very complex queries into simpler parts

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Advanced Use Cases

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Governance Research

Voting Pattern Analysis:
  • "Find DReps who vote differently on economic vs technical proposals"
  • "Show DReps with consistent alignment across all proposal types"
Delegation Impact Studies:
  • "Find DReps where voting power doesn't correlate with delegator count"
  • "Show DReps with high influence but low delegation"
Participation Studies:
  • "Find DReps with declining participation rates"
  • "Show DReps who only vote on specific types of proposals"

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Stakeholder Analysis

Community Representation:
  • "Find DReps representing different geographic regions"
  • "Show DReps with diverse delegation bases"
Governance Influence:
  • "Find DReps whose votes often align with final outcomes"
  • "Show DReps who vote against the majority but have high influence"

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Investment Research

Delegation Strategy:
  • "Find DReps with strong performance metrics and growth potential"
  • "Show DReps with consistent governance participation and alignment"
Risk Assessment:
  • "Find DReps with concerning voting patterns or low participation"
  • "Show DReps with high concentration risk or limited delegation"