Data Sources Configuration

Blockchain Data Feeds

Multi-Chain Data Aggregation

Unified Blockchain Interface

class UnifiedBlockchainClient {
  constructor() {
    this.providers = {
      ethereum: new AlchemyIntegration(),
      solana: new SolanaIntegration(),
      polygon: new AlchemyIntegration('polygon'),
      bsc: new BSCIntegration(),
      arbitrum: new AlchemyIntegration('arbitrum')
    };
    
    this.dataAggregator = new DataAggregator();
  }

  async getUnifiedTokenData(tokenAddress, chain) {
    const provider = this.providers[chain];
    if (!provider) {
      throw new Error(`Chain ${chain} not supported`);
    }

    const rawData = await provider.getTokenData(tokenAddress);
    return this.dataAggregator.normalizeTokenData(rawData, chain);
  }

  async subscribeToMultiChainEvents(tokens, callback) {
    const subscriptions = [];
    
    for (const token of tokens) {
      const provider = this.providers[token.chain];
      const subscription = await provider.subscribeToEvents(
        token.address,
        (event) => {
          callback({
            ...event,
            chain: token.chain,
            token: token.address
          });
        }
      );
      subscriptions.push(subscription);
    }
    
    return subscriptions;
  }
}

Data Normalization

Cross-Chain Data Standardization

class DataAggregator {
  normalizeTokenData(rawData, chain) {
    const baseStructure = {
      address: rawData.address,
      chain: chain,
      name: rawData.name,
      symbol: rawData.symbol,
      decimals: rawData.decimals,
      totalSupply: this.normalizeSupply(rawData.totalSupply, chain),
      holders: this.normalizeHolders(rawData.holders, chain),
      liquidity: this.normalizeLiquidity(rawData.liquidity, chain),
      security: this.normalizeSecurityData(rawData.security, chain),
      activity: this.normalizeActivity(rawData.activity, chain)
    };

    return baseStructure;
  }

  normalizeSupply(supply, chain) {
    // Convert different chain supply formats to standard format
    switch (chain) {
      case 'ethereum':
      case 'polygon':
      case 'arbitrum':
        return {
          total: supply.toString(),
          circulating: supply.toString(),
          format: 'wei'
        };
      case 'solana':
        return {
          total: supply.amount,
          circulating: supply.uiAmount,
          format: 'lamports'
        };
      default:
        return supply;
    }
  }
}

Social Media APIs

Twitter Integration

Twitter API v2 Setup

const { TwitterApi } = require('twitter-api-v2');

class TwitterIntegration {
  constructor() {
    this.client = new TwitterApi({
      appKey: process.env.TWITTER_API_KEY,
      appSecret: process.env.TWITTER_API_SECRET,
      accessToken: process.env.TWITTER_ACCESS_TOKEN,
      accessSecret: process.env.TWITTER_ACCESS_SECRET
    });
    
    this.readOnlyClient = this.client.readOnly;
  }

  async searchTweets(query, options = {}) {
    const defaultOptions = {
      max_results: 100,
      'tweet.fields': 'created_at,author_id,public_metrics,context_annotations',
      'user.fields': 'verified,public_metrics',
      expansions: 'author_id'
    };

    try {
      const tweets = await this.readOnlyClient.v2.search(query, {
        ...defaultOptions,
        ...options
      });

      return this.processTweetData(tweets);
    } catch (error) {
      throw new Error(`Twitter search failed: ${error.message}`);
    }
  }

  async getInfluencerActivity(usernames, tokenSymbol) {
    const influencerData = [];
    
    for (const username of usernames) {
      try {
        const user = await this.readOnlyClient.v2.userByUsername(username, {
          'user.fields': 'verified,public_metrics'
        });
        
        const tweets = await this.searchTweets(
          `from:${username} ${tokenSymbol}`,
          { max_results: 50 }
        );

        influencerData.push({
          user: user.data,
          tweets: tweets,
          influence_score: this.calculateInfluenceScore(user.data, tweets)
        });
      } catch (error) {
        console.error(`Failed to get data for ${username}: ${error.message}`);
      }
    }

    return influencerData;
  }

  processTweetData(tweets) {
    return tweets.data.map(tweet => ({
      id: tweet.id,
      text: tweet.text,
      created_at: tweet.created_at,
      author_id: tweet.author_id,
      metrics: {
        retweets: tweet.public_metrics.retweet_count,
        likes: tweet.public_metrics.like_count,
        replies: tweet.public_metrics.reply_count,
        quotes: tweet.public_metrics.quote_count
      },
      sentiment: this.analyzeSentiment(tweet.text),
      entities: this.extractEntities(tweet.text)
    }));
  }
}

Reddit Integration

Reddit API Monitoring

const snoowrap = require('snoowrap');

class RedditIntegration {
  constructor() {
    this.reddit = new snoowrap({
      userAgent: 'KaizenAI-Monitor/1.0',
      clientId: process.env.REDDIT_CLIENT_ID,
      clientSecret: process.env.REDDIT_CLIENT_SECRET,
      username: process.env.REDDIT_USERNAME,
      password: process.env.REDDIT_PASSWORD
    });
  }

  async monitorSubreddits(subreddits, keywords) {
    const results = [];
    
    for (const subreddit of subreddits) {
      try {
        const posts = await this.reddit.getSubreddit(subreddit)
          .getNew({ limit: 100 });
          
        const filteredPosts = posts.filter(post => 
          keywords.some(keyword => 
            post.title.toLowerCase().includes(keyword.toLowerCase()) ||
            post.selftext.toLowerCase().includes(keyword.toLowerCase())
          )
        );

        results.push({
          subreddit: subreddit,
          posts: filteredPosts.map(post => ({
            id: post.id,
            title: post.title,
            score: post.score,
            num_comments: post.num_comments,
            created_utc: post.created_utc,
            author: post.author.name,
            url: post.url,
            sentiment: this.analyzeSentiment(post.title + ' ' + post.selftext)
          }))
        });
      } catch (error) {
        console.error(`Reddit monitoring failed for ${subreddit}: ${error.message}`);
      }
    }

    return results;
  }

  async getSubredditSentiment(subreddit, tokenSymbol, timeframe = 'day') {
    const posts = await this.reddit.getSubreddit(subreddit)
      .search({
        query: tokenSymbol,
        time: timeframe,
        limit: 500
      });

    const sentimentData = posts.map(post => ({
      sentiment: this.analyzeSentiment(post.title + ' ' + post.selftext),
      score: post.score,
      comments: post.num_comments,
      timestamp: post.created_utc
    }));

    return this.aggregateSentiment(sentimentData);
  }
}

Intelligence Databases

Threat Intelligence Integration

Security Intelligence Feeds

class ThreatIntelligence {
  constructor() {
    this.sources = {
      chainabuse: new ChainAbuseAPI(),
      certik: new CertiKAPI(),
      mythx: new MythXAPI(),
      immunefi: new ImmunefiBugBounty()
    };
  }

  async checkWalletReputation(walletAddress) {
    const results = {};
    
    // Check against multiple threat intelligence sources
    for (const [source, api] of Object.entries(this.sources)) {
      try {
        results[source] = await api.checkAddress(walletAddress);
      } catch (error) {
        results[source] = { error: error.message };
      }
    }

    return this.aggregateReputationData(results);
  }

  async getKnownScamPatterns() {
    const patterns = await Promise.all([
      this.sources.chainabuse.getScamPatterns(),
      this.sources.certik.getKnownRisks(),
      this.loadLocalPatterns()
    ]);

    return this.consolidatePatterns(patterns);
  }

  aggregateReputationData(results) {
    let riskScore = 0;
    const flags = [];
    const sources = [];

    Object.entries(results).forEach(([source, data]) => {
      if (data.error) return;
      
      riskScore += data.risk_score || 0;
      if (data.flags) flags.push(...data.flags);
      if (data.is_flagged) sources.push(source);
    });

    return {
      overall_risk_score: Math.min(100, riskScore),
      flagged_sources: sources,
      risk_flags: [...new Set(flags)],
      reputation: this.calculateReputation(riskScore, sources.length)
    };
  }
}

Market Data Providers

Multi-Source Price Aggregation

Price Oracle Network

class PriceOracle {
  constructor() {
    this.providers = {
      coingecko: new CoinGeckoIntegration(),
      coinmarketcap: new CoinMarketCapAPI(),
      dextools: new DexToolsAPI(),
      dexscreener: new DexScreenerAPI(),
      uniswap: new UniswapV3Oracle()
    };
    
    this.weights = {
      coingecko: 0.3,
      coinmarketcap: 0.25,
      dextools: 0.2,
      dexscreener: 0.15,
      uniswap: 0.1
    };
  }

  async getAggregatedPrice(tokenAddress, chain = 'ethereum') {
    const prices = {};
    const errors = {};

    // Fetch prices from all providers
    for (const [provider, api] of Object.entries(this.providers)) {
      try {
        prices[provider] = await api.getPrice(tokenAddress, chain);
      } catch (error) {
        errors[provider] = error.message;
      }
    }

    // Calculate weighted average
    const weightedPrice = this.calculateWeightedAverage(prices);
    
    return {
      aggregated_price: weightedPrice,
      individual_prices: prices,
      confidence: this.calculatePriceConfidence(prices),
      errors: errors,
      last_updated: Date.now()
    };
  }

  calculateWeightedAverage(prices) {
    let totalWeight = 0;
    let weightedSum = 0;

    Object.entries(prices).forEach(([provider, price]) => {
      const weight = this.weights[provider] || 0;
      weightedSum += price * weight;
      totalWeight += weight;
    });

    return totalWeight > 0 ? weightedSum / totalWeight : 0;
  }

  calculatePriceConfidence(prices) {
    if (Object.keys(prices).length < 2) return 0;

    const priceValues = Object.values(prices);
    const mean = priceValues.reduce((a, b) => a + b) / priceValues.length;
    const variance = priceValues.reduce((a, b) => a + Math.pow(b - mean, 2)) / priceValues.length;
    const standardDeviation = Math.sqrt(variance);
    
    // Lower standard deviation = higher confidence
    const coefficient = standardDeviation / mean;
    return Math.max(0, 100 - (coefficient * 100));
  }
}

Security Scanners

Automated Security Analysis

Contract Security Scanner

class SecurityScanner {
  constructor() {
    this.scanners = {
      slither: new SlitherAnalyzer(),
      mythril: new MythrilAnalyzer(),
      securify: new SecurifyAnalyzer(),
      oyente: new OyenteAnalyzer()
    };
  }

  async scanContract(contractAddress, sourceCode) {
    const scanResults = {};
    
    // Run multiple security scanners in parallel
    const scanPromises = Object.entries(this.scanners).map(async ([name, scanner]) => {
      try {
        const result = await scanner.analyze(contractAddress, sourceCode);
        return [name, result];
      } catch (error) {
        return [name, { error: error.message }];
      }
    });

    const results = await Promise.all(scanPromises);
    results.forEach(([name, result]) => {
      scanResults[name] = result;
    });

    return this.aggregateSecurityResults(scanResults);
  }

  aggregateSecurityResults(results) {
    const vulnerabilities = [];
    const warnings = [];
    let criticalCount = 0;
    let highCount = 0;
    let mediumCount = 0;
    let lowCount = 0;

    Object.entries(results).forEach(([scanner, result]) => {
      if (result.error) return;

      result.vulnerabilities?.forEach(vuln => {
        vulnerabilities.push({
          scanner: scanner,
          type: vuln.type,
          severity: vuln.severity,
          description: vuln.description,
          line: vuln.line,
          recommendation: vuln.recommendation
        });

        switch (vuln.severity) {
          case 'critical': criticalCount++; break;
          case 'high': highCount++; break;
          case 'medium': mediumCount++; break;
          case 'low': lowCount++; break;
        }
      });

      result.warnings?.forEach(warning => {
        warnings.push({
          scanner: scanner,
          message: warning.message,
          line: warning.line
        });
      });
    });

    return {
      security_score: this.calculateSecurityScore(criticalCount, highCount, mediumCount, lowCount),
      vulnerability_count: {
        critical: criticalCount,
        high: highCount,
        medium: mediumCount,
        low: lowCount,
        total: vulnerabilities.length
      },
      vulnerabilities: vulnerabilities,
      warnings: warnings,
      scan_timestamp: Date.now()
    };
  }

  calculateSecurityScore(critical, high, medium, low) {
    let score = 100;
    score -= critical * 25;  // Critical issues heavily penalized
    score -= high * 15;      // High issues significantly penalized
    score -= medium * 8;     // Medium issues moderately penalized
    score -= low * 3;        // Low issues lightly penalized
    
    return Math.max(0, score);
  }
}