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PRD 4: DomaScore - AI Valuation Engine & Scoring (Track 4)

Product Overview

DomaScore - AI-powered domain valuation and trend analysis platform Comprehensive scoring system that analyzes domain traits, market trends, and rarity to provide accurate valuations and trading recommendations using machine learning models.

Target Users

  • Domain investors seeking data-driven valuation insights
  • Portfolio managers needing accurate domain appraisals
  • Marketplace operators requiring automated pricing algorithms
  • Researchers analyzing domain market trends and patterns

Key Features

F1: AI Valuation Engine Implementation: Machine learning models trained on Doma historical sales data

  • Multi-factor analysis: length, keywords, TLD popularity, phonetic quality
  • Real-time price predictions with confidence intervals
  • Comparative analysis against recent similar sales
  • Market trend integration for forward-looking valuations

F2: Domain Rarity Scoring Implementation: Comprehensive trait analysis and rarity calculations

  • Character pattern analysis (palindromes, sequences, repeating)
  • Keyword relevance scoring using NLP and trend data
  • TLD premium scoring based on market performance
  • Composite rarity score from 0-100 with detailed breakdowns

F3: Real-Time Market Analytics Implementation: Live dashboard with Poll API integration for instant updates

  • Market sentiment indicators based on trading volume
  • Price movement tracking across domain categories
  • Emerging trend detection using keyword analysis
  • Flash insights for sudden market movementsc

F4: Trend Detection System Implementation: AI-powered identification of emerging opportunities

  • Keyword trend analysis from external data sources
  • New TLD performance tracking and predictions
  • Seasonal pattern recognition in domain sales
  • Early warning system for trend reversals

F5: Developer API & Integration Implementation: RESTful API for third-party integrations

  • Domain scoring API with batch processing capabilities
  • Real-time valuation endpoints for marketplace integration
  • Webhook system for price alert notifications
  • SDK packages for popular programming languages

MVP User Flow

As a domain investor

  1. Connect wallet to access premium scoring features
  2. Enter domain name or upload portfolio CSV for bulk analysis
  3. View comprehensive score breakdown with valuation range
  4. Analyze market trends and comparable sales data
  5. Set up alerts for domains matching investment criteria

Technical Requirements

TR1: Machine Learning Pipeline

  • Doma Integration: Historical sales data from TokenPurchasedActivity events
  • New Implementation: ML models (Random Forest, Neural Networks) for price prediction
  • Integration Points: Continuous model retraining with new market data

TR2: Real-Time Analytics Dashboard

  • Doma Integration: Poll API for live market events and price changes
  • New Implementation: Interactive charts and trend visualization
  • Integration Points: WebSocket connections for instant dashboard updates

TR3: Domain Trait Analysis

  • Doma Integration: Domain metadata from Subgraph (SLD, TLD, expiration)
  • New Implementation: NLP processing for keyword analysis and scoring
  • Integration Points: External trend APIs for keyword popularity data

TR4: API Infrastructure

  • Doma Integration: Marketplace data for real-time pricing context
  • New Implementation: Scalable API with rate limiting and authentication
  • Integration Points: Integration points for popular domain marketplaces

Hackathon Build Plan

  • Phase 1 (8 hours): ML model development + basic scoring algorithm
  • Phase 2 (6 hours): Real-time dashboard + Poll API integration
  • Phase 3 (4 hours): Trend detection system + advanced analytics
  • Phase 4 (2 hours): API development + demo preparation

Technical Architecture

Doma Protocol Dependencies

  • doma-docs/doma-multichain-subgraph.md: Historical sales and domain data
  • doma-docs/poll-api.md: Real-time market events for live analytics
  • doma-docs/doma-marketplace.md: Current market pricing and activity

Required ML/Analytics Components

  • PricePredictionModel: Random Forest/Neural Network for valuations
  • TraitAnalyzer: Domain characteristic scoring algorithms
  • TrendDetector: Time series analysis for emerging patterns
  • RarityCalculator: Composite scoring based on multiple factors
  • MarketAnalyzer: Sentiment and volume analysis

Data Pipeline Architecture

  • DataCollector: Aggregate historical sales from Subgraph
  • FeatureExtractor: Transform domain names into ML features
  • ModelTrainer: Automated retraining pipeline
  • ScoreGenerator: Real-time scoring API
  • TrendProcessor: Pattern recognition in market data

Demo Impact

Establish industry-standard domain scoring system that becomes essential infrastructure for accurate domain valuations across all marketplaces.

HACKATHON-SPECIFIC REQUIREMENTS:

Doma Protocol File References

  • doma-docs/doma-multichain-subgraph.md: Lines 220-280 for sales activity queries
  • doma-docs/poll-api.md: Lines 45-90 for real-time event processing
  • doma-docs/doma-marketplace.md: Lines 15-45 for current pricing context
  • doma-docs/supported-tlds.md: Full TLD list for scoring algorithm training

ML/AI Implementation Strategy

  • Training Data: Use Subgraph to extract all historical TokenPurchasedActivity
  • Feature Engineering: Domain length, keyword relevance, TLD tier, sale recency
  • Model Selection: Start with Random Forest for interpretability, expand to neural networks
  • Validation: Cross-validation using temporal splits (train on old data, test on recent)

Risk Mitigation

  • Limited training data → Supplement with external domain sales databases
  • Model complexity → Start with simple linear models, add complexity incrementally
  • Real-time performance → Cache predictions for common domains

Success Metrics

  • Functional ML model with >70% price prediction accuracy
  • Real-time dashboard with live Poll API integration
  • Working API with 10+ scoring endpoints
  • Trend detection identifying 3+ emerging patterns