Intel Agent
Wallet Attribution and Entity Resolution
Component Overview
The Intel Agent serves as Kaizen AI's intelligence aggregation and analysis hub, responsible for collecting, correlating, and interpreting intelligence data from multiple sources to provide comprehensive wallet attribution, entity resolution, and behavioral pattern analysis. This agent transforms raw intelligence data into actionable insights for risk assessment and threat identification.
Core Responsibilities:
Multi-source intelligence data collection and correlation
Wallet attribution and entity resolution across blockchain networks
Fund flow tracking and transaction pattern analysis
Behavioral pattern recognition and anomaly detection
Risk scoring based on historical intelligence data
Real-time intelligence updates and alert generation
Architecture Philosophy: The Intel Agent employs a sophisticated correlation engine that can process multiple intelligence feeds simultaneously, maintaining a comprehensive knowledge graph of entities, relationships, and behavioral patterns. The system prioritizes accuracy, timeliness, and actionable intelligence while maintaining privacy and security standards.
Intelligence Aggregation Framework
Multi-Source Intelligence Architecture
// Core interfaces for intelligence data aggregation
interface IntelligenceSource {
readonly name: string;
readonly reliability: number; // 0-1 scale
readonly updateFrequency: number; // seconds
readonly dataTypes: IntelligenceDataType[];
readonly apiConfig: SourceAPIConfig;
}
interface IntelligenceData {
sourceId: string;
entityId: string;
entityType: EntityType;
confidence: number;
timestamp: Date;
data: Record<string, any>;
correlationIds: string[];
validUntil?: Date;
}
export class IntelligenceOrchestrator {
private sources: Map<string, IntelligenceSource> = new Map();
private correlationEngine: CorrelationEngine;
private entityResolver: EntityResolver;
private riskAnalyzer: RiskAnalyzer;
private knowledgeGraph: KnowledgeGraph;
private alertManager: IntelAlertManager;
constructor(
private config: IntelConfig,
private database: DatabaseInterface,
private cache: CacheInterface,
private messageQueue: MessageQueueInterface
) {
this.correlationEngine = new CorrelationEngine(config.correlation);
this.entityResolver = new EntityResolver(config.resolution);
this.riskAnalyzer = new RiskAnalyzer(config.risk);
this.knowledgeGraph = new KnowledgeGraph(config.graph);
this.alertManager = new IntelAlertManager(config.alerts);
this.initializeIntelligenceSources();
this.setupRealTimeUpdates();
}
private async initializeIntelligenceSources() {
const sources = [
new ArkhamIntelligenceSource(this.config.arkham),
new ChainanalysisSource(this.config.chainalysis),
new CipherTraceSource(this.config.cipherTrace),
new EllipticSource(this.config.elliptic),
new InternalIntelligenceSource(this.config.internal),
new CommunityIntelligenceSource(this.config.community)
];
for (const source of sources) {
try {
await source.initialize();
this.sources.set(source.name, source);
// Set up data collection
this.setupSourceDataCollection(source);
logger.info(`Initialized intelligence source: ${source.name}`);
} catch (error) {
logger.error(`Failed to initialize source ${source.name}:`, error);
// Schedule retry
this.scheduleSourceRetry(source);
}
}
}
async analyzeEntity(entityId: string, entityType: EntityType): Promise<EntityIntelligenceResult> {
const startTime = Date.now();
try {
// Check cache first
const cacheKey = `intel:${entityType}:${entityId}`;
const cachedResult = await this.cache.get(cacheKey);
if (cachedResult && this.isCacheValid(cachedResult)) {
return cachedResult;
}
// Collect intelligence from all sources
const intelligencePromises = Array.from(this.sources.values()).map(async source => {
try {
return await source.getEntityIntelligence(entityId, entityType);
} catch (error) {
logger.warn(`Intelligence collection failed for ${source.name}:`, error);
return null;
}
});
const intelligenceResults = await Promise.all(intelligencePromises);
const validResults = intelligenceResults.filter(result => result !== null) as IntelligenceData[];
if (validResults.length === 0) {
return this.generateEmptyResult(entityId, entityType, 'No intelligence data found');
}
// Correlate intelligence data
const correlatedData = await this.correlationEngine.correlate(validResults);
// Resolve entity relationships
const entityResolution = await this.entityResolver.resolve(correlatedData);
// Analyze risk patterns
const riskAnalysis = await this.riskAnalyzer.analyze(entityResolution);
// Update knowledge graph
await this.knowledgeGraph.updateEntity(entityId, entityResolution, riskAnalysis);
// Generate final intelligence result
const result = this.generateIntelligenceResult(
entityId,
entityType,
correlatedData,
entityResolution,
riskAnalysis,
Date.now() - startTime
);
// Cache result
await this.cache.set(cacheKey, result, this.calculateCacheTTL(result.confidence));
return result;
} catch (error) {
logger.error('Entity intelligence analysis failed:', error);
throw new IntelligenceAnalysisError('Intelligence analysis failed', error);
}
}
private generateIntelligenceResult(
entityId: string,
entityType: EntityType,
correlatedData: CorrelatedIntelligence,
entityResolution: EntityResolution,
riskAnalysis: RiskAnalysis,
processingTime: number
): EntityIntelligenceResult {
return {
entityId,
entityType,
confidence: correlatedData.confidence,
riskScore: riskAnalysis.overallRisk,
attribution: {
primaryEntity: entityResolution.primaryEntity,
aliases: entityResolution.aliases,
relationships: entityResolution.relationships,
confidence: entityResolution.confidence
},
intelligence: {
sources: correlatedData.sources,
labels: correlatedData.labels,
riskFactors: riskAnalysis.riskFactors,
historicalActivity: correlatedData.historicalActivity,
associatedEntities: entityResolution.associatedEntities
},
fundFlows: riskAnalysis.fundFlowAnalysis,
alerts: this.generateIntelligenceAlerts(riskAnalysis),
metadata: {
sourceCount: correlatedData.sources.length,
processingTime,
dataQuality: correlatedData.dataQuality,
lastUpdated: new Date().toISOString(),
validUntil: this.calculateValidityPeriod(correlatedData.confidence)
}
};
}
}Arkham Intelligence Integration
Advanced Arkham API Integration
// Comprehensive Arkham Intelligence API integration
export class ArkhamIntelligenceSource implements IntelligenceSource {
public readonly name = 'arkham_intelligence';
public readonly reliability = 0.95;
public readonly updateFrequency = 3600; // 1 hour
public readonly dataTypes = [
'wallet_attribution',
'entity_labels',
'transaction_flow',
'risk_scoring',
'connection_mapping'
];
private client: ArkhamAPIClient;
private rateLimiter: RateLimiter;
private entityCache: Map<string, ArkhamEntity> = new Map();
private flowAnalyzer: FundFlowAnalyzer;
constructor(private config: ArkhamConfig) {
this.client = new ArkhamAPIClient({
apiKey: config.apiKey,
baseURL: config.baseURL || 'https://api.arkhamintelligence.com/v1',
timeout: config.timeout || 30000
});
this.rateLimiter = new RateLimiter({
maxRequests: config.rateLimit?.maxRequests || 100,
windowMs: config.rateLimit?.windowMs || 60000
});
this.flowAnalyzer = new FundFlowAnalyzer(config.flowAnalysis);
}
async initialize(): Promise<void> {
try {
// Verify API access
const apiStatus = await this.client.getAPIStatus();
if (!apiStatus.isActive) {
throw new Error('Arkham API is not active');
}
logger.info('Arkham Intelligence source initialized successfully');
} catch (error) {
logger.error('Arkham Intelligence initialization failed:', error);
throw new InitializationError('Arkham source initialization failed', error);
}
}
async getEntityIntelligence(entityId: string, entityType: EntityType): Promise<IntelligenceData> {
try {
// Rate limiting
await this.rateLimiter.waitForSlot();
// Check cache
const cacheKey = `${entityType}:${entityId}`;
if (this.entityCache.has(cacheKey)) {
const cachedEntity = this.entityCache.get(cacheKey)!;
// Check if cache is still valid
if (Date.now() - cachedEntity.timestamp.getTime() < 300000) { // 5 minutes
return this.transformArkhamData(cachedEntity);
}
}
// Fetch entity data
const entityData = await this.fetchEntityData(entityId, entityType);
if (!entityData) {
throw new DataNotFoundError(`Entity not found in Arkham: ${entityId}`);
}
// Cache the result
this.entityCache.set(cacheKey, entityData);
// Transform to standard format
return this.transformArkhamData(entityData);
} catch (error) {
logger.error('Arkham entity intelligence failed:', error);
throw error;
}
}
private async fetchEntityData(entityId: string, entityType: EntityType): Promise<ArkhamEntity | null> {
try {
let entityData: ArkhamEntity;
switch (entityType) {
case 'wallet_address':
entityData = await this.client.getAddressIntelligence(entityId);
break;
case 'contract_address':
entityData = await this.client.getContractIntelligence(entityId);
break;
case 'entity_name':
entityData = await this.client.getEntityByName(entityId);
break;
default:
throw new Error(`Unsupported entity type: ${entityType}`);
}
// Enrich with additional data
const enrichedData = await this.enrichEntityData(entityData);
return enrichedData;
} catch (error) {
if (error.status === 404) {
return null; // Entity not found
}
throw error;
}
}
private async enrichEntityData(entity: ArkhamEntity): Promise<ArkhamEntity> {
try {
// Get transaction history
const transactionHistory = await this.client.getTransactionHistory(entity.address, {
limit: 100,
includeTokenTransfers: true,
includeInternalTransactions: true
});
// Get connection data
const connections = await this.client.getEntityConnections(entity.address, {
maxDepth: 2,
minTransactionValue: 1000 // $1000 USD minimum
});
// Get risk scoring
const riskData = await this.client.getRiskAssessment(entity.address);
// Perform fund flow analysis
const fundFlows = await this.flowAnalyzer.analyzeFundFlows(
entity.address,
transactionHistory,
connections
);
return {
...entity,
transactionHistory,
connections,
riskData,
fundFlows,
enrichmentTimestamp: new Date()
};
} catch (error) {
logger.warn('Entity enrichment failed:', error);
return entity; // Return basic data if enrichment fails
}
}
private transformArkhamData(arkhamEntity: ArkhamEntity): IntelligenceData {
return {
sourceId: this.name,
entityId: arkhamEntity.address,
entityType: arkhamEntity.type,
confidence: this.calculateConfidence(arkhamEntity),
timestamp: new Date(),
data: {
entity: {
name: arkhamEntity.entity?.name,
type: arkhamEntity.entity?.type,
category: arkhamEntity.entity?.category,
description: arkhamEntity.entity?.description
},
labels: arkhamEntity.labels || [],
riskScore: arkhamEntity.riskData?.overallRisk || 50,
riskFactors: arkhamEntity.riskData?.riskFactors || [],
transactionVolume: arkhamEntity.transactionHistory?.totalVolume || 0,
transactionCount: arkhamEntity.transactionHistory?.count || 0,
firstSeen: arkhamEntity.firstTransactionDate,
lastSeen: arkhamEntity.lastTransactionDate,
connections: this.processConnections(arkhamEntity.connections || []),
fundFlows: arkhamEntity.fundFlows
},
correlationIds: this.generateCorrelationIds(arkhamEntity),
validUntil: new Date(Date.now() + 3600000) // 1 hour validity
};
}
private calculateConfidence(entity: ArkhamEntity): number {
let confidence = 0.5; // Base confidence
// Entity verification increases confidence
if (entity.entity?.isVerified) confidence += 0.3;
// Multiple labels increase confidence
if (entity.labels && entity.labels.length > 0) {
confidence += Math.min(0.2, entity.labels.length * 0.05);
}
// Transaction history depth increases confidence
if (entity.transactionHistory) {
const txCount = entity.transactionHistory.count || 0;
confidence += Math.min(0.2, txCount / 1000);
}
// Recent activity increases confidence
if (entity.lastTransactionDate) {
const daysSinceLastTx = (Date.now() - entity.lastTransactionDate.getTime()) / (1000 * 60 * 60 * 24);
if (daysSinceLastTx < 30) confidence += 0.1;
}
return Math.min(1, confidence);
}
async trackFundFlow(
sourceAddress: string,
targetAddress: string,
options: FundFlowOptions = {}
): Promise<FundFlowResult> {
try {
await this.rateLimiter.waitForSlot();
const flowData = await this.client.traceFundFlow(sourceAddress, targetAddress, {
maxHops: options.maxHops || 5,
minAmount: options.minAmount || 0.01,
timeWindow: options.timeWindow || 2592000000, // 30 days
includeTokens: options.includeTokens !== false
});
// Analyze flow patterns
const flowAnalysis = await this.flowAnalyzer.analyzeFlowPatterns(flowData);
// Detect suspicious patterns
const suspiciousPatterns = await this.detectSuspiciousFlowPatterns(flowData, flowAnalysis);
return {
sourceAddress,
targetAddress,
flowPath: flowData.path,
totalAmount: flowData.totalAmount,
hopCount: flowData.path.length - 1,
timespan: flowData.timespan,
patterns: flowAnalysis.patterns,
suspiciousActivities: suspiciousPatterns,
riskScore: this.calculateFlowRiskScore(flowAnalysis, suspiciousPatterns),
confidence: flowData.confidence,
metadata: {
tracedAt: new Date(),
dataSource: 'arkham_intelligence',
analysisVersion: '2.1'
}
};
} catch (error) {
logger.error('Fund flow tracking failed:', error);
throw new FundFlowError('Fund flow tracking failed', error);
}
}
private async detectSuspiciousFlowPatterns(
flowData: ArkhamFlowData,
analysis: FlowAnalysis
): Promise<SuspiciousPattern[]> {
const patterns: SuspiciousPattern[] = [];
// Check for mixing services
for (const hop of flowData.path) {
if (this.isMixingService(hop.address)) {
patterns.push({
type: 'mixing_service',
description: 'Funds passed through known mixing service',
address: hop.address,
riskLevel: 'high',
evidence: {
serviceName: hop.entityName,
amount: hop.amount
}
});
}
}
// Check for rapid redistribution
if (analysis.redistributionScore > 0.8) {
patterns.push({
type: 'rapid_redistribution',
description: 'Funds rapidly distributed across multiple addresses',
riskLevel: 'medium',
evidence: {
redistributionScore: analysis.redistributionScore,
recipientCount: analysis.uniqueRecipients
}
});
}
// Check for circular flows
if (analysis.circularityScore > 0.7) {
patterns.push({
type: 'circular_flow',
description: 'Detected circular fund movement pattern',
riskLevel: 'high',
evidence: {
circularityScore: analysis.circularityScore,
cycles: analysis.detectedCycles
}
});
}
// Check for exchange patterns
const exchangeHops = flowData.path.filter(hop => this.isCryptoExchange(hop.address));
if (exchangeHops.length > 2) {
patterns.push({
type: 'multi_exchange_hopping',
description: 'Funds moved through multiple exchanges',
riskLevel: 'medium',
evidence: {
exchangeCount: exchangeHops.length,
exchanges: exchangeHops.map(hop => hop.entityName)
}
});
}
return patterns;
}
private isMixingService(address: string): boolean {
const knownMixers = [
'0x5e4e65926ba27467555eb562121fac00d24e9dd2', // Tornado Cash
'0xd90e2f925da726b50c4ed8d0fb90ad053324f31b', // Blender
// Add more known mixer addresses
];
return knownMixers.includes(address.toLowerCase());
}
private isCryptoExchange(address: string): boolean {
const knownExchanges = [
'0x3f5ce5fbfe3e9af3971dd833d26ba9b5c936f0be', // Binance
'0xd551234ae421e3bcba99a0da6d736074f22192ff', // Binance 2
'0x564286362092d8e7936f0549571a803b203aaced', // Binance 3
// Add more exchange addresses
];
return knownExchanges.includes(address.toLowerCase());
}
}Fund Flow Tracking
Advanced Transaction Flow Analysis
// Comprehensive fund flow tracking and analysis system
export class FundFlowAnalyzer {
private graphAnalyzer: TransactionGraphAnalyzer;
private patternDetector: FlowPatternDetector;
private riskCalculator: FlowRiskCalculator;
private volumeAnalyzer: VolumeAnalyzer;
constructor(private config: FlowAnalysisConfig) {
this.graphAnalyzer = new TransactionGraphAnalyzer(config.graph);
this.patternDetector = new FlowPatternDetector(config.patterns);
this.riskCalculator = new FlowRiskCalculator(config.risk);
this.volumeAnalyzer = new VolumeAnalyzer(config.volume);
}
async analyzeFundFlows(
address: string,
transactions: Transaction[],
connections: EntityConnection[]
): Promise<FundFlowAnalysis> {
try {
// Build transaction graph
const transactionGraph = await this.graphAnalyzer.buildGraph(address, transactions, connections);
// Analyze flow patterns
const flowPatterns = await this.patternDetector.detectPatterns(transactionGraph);
// Calculate risk metrics
const riskMetrics = await this.riskCalculator.calculateRisks(transactionGraph, flowPatterns);
// Analyze volume patterns
const volumeAnalysis = await this.volumeAnalyzer.analyzeVolumes(transactions);
// Generate comprehensive analysis
return {
address,
graph: transactionGraph,
patterns: flowPatterns,
risks: riskMetrics,
volumes: volumeAnalysis,
insights: this.generateFlowInsights(transactionGraph, flowPatterns, riskMetrics),
score: this.calculateOverallFlowScore(riskMetrics, flowPatterns),
metadata: {
transactionCount: transactions.length,
connectionCount: connections.length,
analysisDepth: transactionGraph.maxDepth,
timespan: this.calculateTimespan(transactions),
generatedAt: new Date()
}
};
} catch (error) {
logger.error('Fund flow analysis failed:', error);
throw new FlowAnalysisError('Fund flow analysis failed', error);
}
}
private generateFlowInsights(
graph: TransactionGraph,
patterns: FlowPattern[],
risks: FlowRiskMetrics
): FlowInsight[] {
const insights: FlowInsight[] = [];
// Large transaction insights
if (risks.largeTransactionRisk > 0.7) {
insights.push({
type: 'large_transactions',
severity: 'high',
description: 'Multiple large transactions detected that may indicate institutional activity or potential money laundering',
recommendation: 'Review large transaction patterns and verify legitimacy of fund sources',
evidence: {
largeTransactionCount: risks.largeTransactionCount,
totalLargeValue: risks.totalLargeValue
}
});
}
// Mixing service insights
const mixingPatterns = patterns.filter(p => p.type === 'mixing_service');
if (mixingPatterns.length > 0) {
insights.push({
type: 'privacy_tools',
severity: 'medium',
description: 'Funds have been processed through privacy-enhancing tools or mixing services',
recommendation: 'Enhanced due diligence required for compliance and risk assessment',
evidence: {
mixingServiceCount: mixingPatterns.length,
services: mixingPatterns.map(p => p.description)
}
});
}
// Rapid movement insights
if (risks.velocityRisk > 0.8) {
insights.push({
type: 'rapid_movement',
severity: 'high',
description: 'Funds are moving rapidly between addresses, potentially indicating evasion tactics',
recommendation: 'Monitor for potential wash trading or layering activities',
evidence: {
averageHoldTime: risks.averageHoldTime,
velocityScore: risks.velocityRisk
}
});
}
// Exchange concentration insights
if (risks.exchangeConcentration > 0.6) {
insights.push({
type: 'exchange_dependency',
severity: 'medium',
description: 'High concentration of activity through centralized exchanges',
recommendation: 'Consider counterparty risk and exchange compliance status',
evidence: {
exchangeCount: risks.uniqueExchanges,
concentrationRatio: risks.exchangeConcentration
}
});
}
return insights;
}
}
// Transaction graph analyzer
export class TransactionGraphAnalyzer {
constructor(private config: GraphConfig) {}
async buildGraph(
rootAddress: string,
transactions: Transaction[],
connections: EntityConnection[]
): Promise<TransactionGraph> {
const graph = new TransactionGraph(rootAddress);
try {
// Add transactions to graph
for (const tx of transactions) {
await this.addTransactionToGraph(graph, tx);
}
// Add connection data
for (const connection of connections) {
await this.addConnectionToGraph(graph, connection);
}
// Calculate graph metrics
const metrics = await this.calculateGraphMetrics(graph);
graph.setMetrics(metrics);
// Identify clusters
const clusters = await this.identifyClusters(graph);
graph.setClusters(clusters);
return graph;
} catch (error) {
logger.error('Graph building failed:', error);
throw error;
}
}
private async addTransactionToGraph(graph: TransactionGraph, tx: Transaction): Promise<void> {
// Add nodes
graph.addNode(tx.from, {
type: 'address',
firstSeen: tx.timestamp,
lastSeen: tx.timestamp,
totalVolume: 0,
transactionCount: 0
});
graph.addNode(tx.to, {
type: 'address',
firstSeen: tx.timestamp,
lastSeen: tx.timestamp,
totalVolume: 0,
transactionCount: 0
});
// Add edge
graph.addEdge(tx.from, tx.to, {
transactionHash: tx.hash,
value: tx.value,
timestamp: tx.timestamp,
gasUsed: tx.gasUsed,
gasPrice: tx.gasPrice,
tokenTransfers: tx.tokenTransfers || []
});
// Update node statistics
graph.updateNodeStats(tx.from, tx.value, tx.timestamp);
graph.updateNodeStats(tx.to, tx.value, tx.timestamp);
}
private async calculateGraphMetrics(graph: TransactionGraph): Promise<GraphMetrics> {
const nodes = graph.getNodes();
const edges = graph.getEdges();
// Basic metrics
const nodeCount = nodes.length;
const edgeCount = edges.length;
const density = edgeCount / (nodeCount * (nodeCount - 1));
// Centrality metrics
const centralityMetrics = this.calculateCentralityMetrics(graph);
// Community detection
const communities = this.detectCommunities(graph);
// Path analysis
const pathMetrics = this.calculatePathMetrics(graph);
return {
nodeCount,
edgeCount,
density,
maxDepth: pathMetrics.maxDepth,
averagePathLength: pathMetrics.averageLength,
centrality: centralityMetrics,
communities: communities.length,
clustering: this.calculateClusteringCoefficient(graph),
diameter: pathMetrics.diameter
};
}
private calculateCentralityMetrics(graph: TransactionGraph): CentralityMetrics {
const nodes = graph.getNodes();
const betweennessCentrality: Record<string, number> = {};
const closenessCentrality: Record<string, number> = {};
const degreeCentrality: Record<string, number> = {};
// Calculate degree centrality
for (const node of nodes) {
const degree = graph.getDegree(node.id);
degreeCentrality[node.id] = degree / (nodes.length - 1);
}
// Calculate betweenness centrality (simplified)
for (const node of nodes) {
betweennessCentrality[node.id] = this.calculateBetweenness(graph, node.id);
}
// Calculate closeness centrality
for (const node of nodes) {
closenessCentrality[node.id] = this.calculateCloseness(graph, node.id);
}
// Find most central nodes
const mostCentralByDegree = this.findMostCentral(degreeCentrality);
const mostCentralByBetweenness = this.findMostCentral(betweennessCentrality);
const mostCentralByCloseness = this.findMostCentral(closenessCentrality);
return {
degree: degreeCentrality,
betweenness: betweennessCentrality,
closeness: closenessCentrality,
mostCentral: {
byDegree: mostCentralByDegree,
byBetweenness: mostCentralByBetweenness,
byCloseness: mostCentralByCloseness
}
};
}
}
// Flow pattern detector
export class FlowPatternDetector {
private layeringDetector: LayeringDetector;
private structuringDetector: StructuringDetector;
private circularFlowDetector: CircularFlowDetector;
private velocityDetector: VelocityDetector;
constructor(private config: PatternConfig) {
this.layeringDetector = new LayeringDetector(config.layering);
this.structuringDetector = new StructuringDetector(config.structuring);
this.circularFlowDetector = new CircularFlowDetector(config.circular);
this.velocityDetector = new VelocityDetector(config.velocity);
}
async detectPatterns(graph: TransactionGraph): Promise<FlowPattern[]> {
const patterns: FlowPattern[] = [];
try {
// Detect layering patterns
const layeringPatterns = await this.layeringDetector.detect(graph);
patterns.push(...layeringPatterns);
// Detect structuring patterns
const structuringPatterns = await this.structuringDetector.detect(graph);
patterns.push(...structuringPatterns);
// Detect circular flows
const circularPatterns = await this.circularFlowDetector.detect(graph);
patterns.push(...circularPatterns);
// Detect velocity patterns
const velocityPatterns = await this.velocityDetector.detect(graph);
patterns.push(...velocityPatterns);
// Sort patterns by risk score
patterns.sort((a, b) => b.riskScore - a.riskScore);
return patterns;
} catch (error) {
logger.error('Pattern detection failed:', error);
throw error;
}
}
}
// Layering pattern detector
export class LayeringDetector {
constructor(private config: LayeringConfig) {}
async detect(graph: TransactionGraph): Promise<FlowPattern[]> {
const patterns: FlowPattern[] = [];
const layeringThreshold = this.config.minLayers || 3;
const volumeThreshold = this.config.minVolume || 10000; // $10k
try {
const paths = graph.findAllPaths(this.config.maxPathLength || 10);
for (const path of paths) {
if (path.length >= layeringThreshold) {
const pathVolume = this.calculatePathVolume(path);
if (pathVolume >= volumeThreshold) {
const layeringScore = this.calculateLayeringScore(path);
if (layeringScore > this.config.scoreThreshold) {
patterns.push({
type: 'layering',
description: `Complex layering pattern detected with ${path.length} layers`,
path: path.map(node => node.address),
riskScore: layeringScore,
volume: pathVolume,
layers: path.length,
timespan: this.calculatePathTimespan(path),
evidence: {
intermediateAddresses: path.length - 2,
totalVolume: pathVolume,
averageHoldTime: this.calculateAverageHoldTime(path)
}
});
}
}
}
}
return patterns;
} catch (error) {
logger.error('Layering detection failed:', error);
throw error;
}
}
private calculateLayeringScore(path: GraphPath): number {
let score = 0;
// More layers = higher score
score += Math.min(0.4, (path.length - 2) * 0.1);
// Rapid movement = higher score
const avgHoldTime = this.calculateAverageHoldTime(path);
if (avgHoldTime < 3600) { // Less than 1 hour average
score += 0.3;
} else if (avgHoldTime < 86400) { // Less than 1 day average
score += 0.2;
}
// Volume consistency = higher score
const volumeVariation = this.calculateVolumeVariation(path);
if (volumeVariation < 0.1) { // Very consistent volumes
score += 0.3;
}
return Math.min(1, score);
}
private calculateAverageHoldTime(path: GraphPath): number {
if (path.length < 2) return 0;
let totalHoldTime = 0;
let holdCount = 0;
for (let i = 0; i < path.length - 1; i++) {
const incomingTime = path[i].timestamp;
const outgoingTime = path[i + 1].timestamp;
if (incomingTime && outgoingTime) {
totalHoldTime += outgoingTime.getTime() - incomingTime.getTime();
holdCount++;
}
}
return holdCount > 0 ? totalHoldTime / holdCount / 1000 : 0; // Return in seconds
}
}Behavior Pattern Recognition
Advanced Behavioral Analysis System
// Comprehensive behavioral pattern recognition and analysis
export class BehaviorAnalyzer {
private transactionBehavior: TransactionBehaviorAnalyzer;
private temporalBehavior: TemporalBehaviorAnalyzer;
private networkBehavior: NetworkBehaviorAnalyzer;
private riskBehavior: RiskBehaviorAnalyzer;
constructor(private config: BehaviorConfig) {
this.transactionBehavior = new TransactionBehaviorAnalyzer(config.transaction);
this.temporalBehavior = new TemporalBehaviorAnalyzer(config.temporal);
this.networkBehavior = new NetworkBehaviorAnalyzer(config.network);
this.riskBehavior = new RiskBehaviorAnalyzer(config.risk);
}
async analyzeBehavior(
address: string,
transactions: Transaction[],
timeframe: TimeframeBehaviorAnalysis
): Promise<BehaviorAnalysisResult> {
try {
// Analyze transaction behavior patterns
const transactionPatterns = await this.transactionBehavior.analyze(transactions);
// Analyze temporal behavior patterns
const temporalPatterns = await this.temporalBehavior.analyze(transactions, timeframe);
// Analyze network behavior patterns
const networkPatterns = await this.networkBehavior.analyze(address, transactions);
// Analyze risk-related behavior patterns
const riskPatterns = await this.riskBehavior.analyze(transactions);
// Generate behavior profile
const behaviorProfile = this.generateBehaviorProfile(
address,
transactionPatterns,
temporalPatterns,
networkPatterns,
riskPatterns
);
// Calculate overall behavior score
const behaviorScore = this.calculateBehaviorScore(behaviorProfile);
return {
address,
behaviorScore,
profile: behaviorProfile,
patterns: {
transaction: transactionPatterns,
temporal: temporalPatterns,
network: networkPatterns,
risk: riskPatterns
},
alerts: this.generateBehaviorAlerts(behaviorProfile),
recommendations: this.generateRecommendations(behaviorProfile),
metadata: {
transactionCount: transactions.length,
analysisTimeframe: timeframe,
generatedAt: new Date(),
analysisVersion: '3.1'
}
};
} catch (error) {
logger.error('Behavior analysis failed:', error);
throw new BehaviorAnalysisError('Behavior analysis failed', error);
}
}
private generateBehaviorProfile(
address: string,
transactionPatterns: TransactionPatternResult,
temporalPatterns: TemporalPatternResult,
networkPatterns: NetworkPatternResult,
riskPatterns: RiskPatternResult
): BehaviorProfile {
return {
address,
entityType: this.determineEntityType(transactionPatterns, networkPatterns),
activityLevel: this.calculateActivityLevel(transactionPatterns, temporalPatterns),
riskProfile: this.calculateRiskProfile(riskPatterns),
tradingBehavior: this.analyzeTradingBehavior(transactionPatterns),
networkPosition: this.analyzeNetworkPosition(networkPatterns),
characteristics: {
isHighVolume: transactionPatterns.volumeMetrics.averageDaily > 100000,
isHighFrequency: transactionPatterns.frequencyMetrics.transactionsPerDay > 100,
usesPrivacyTools: riskPatterns.privacyToolUsage > 0,
hasInstitutionalBehavior: this.detectInstitutionalBehavior(transactionPatterns),
showsAutomatedPatterns: temporalPatterns.automationScore > 0.7,
hasComplexFlows: networkPatterns.complexityScore > 0.8
},
confidence: this.calculateProfileConfidence(transactionPatterns, temporalPatterns, networkPatterns)
};
}
private determineEntityType(
transactionPatterns: TransactionPatternResult,
networkPatterns: NetworkPatternResult
): EntityType {
// Check for exchange patterns
if (this.hasExchangeCharacteristics(transactionPatterns, networkPatterns)) {
return 'exchange';
}
// Check for mixer/tumbler patterns
if (this.hasMixerCharacteristics(transactionPatterns, networkPatterns)) {
return 'mixer';
}
// Check for DeFi protocol patterns
if (this.hasDeFiCharacteristics(transactionPatterns, networkPatterns)) {
return 'defi_protocol';
}
// Check for institutional patterns
if (this.hasInstitutionalCharacteristics(transactionPatterns, networkPatterns)) {
return 'institution';
}
// Check for individual user patterns
if (this.hasIndividualUserCharacteristics(transactionPatterns, networkPatterns)) {
return 'individual';
}
// Default to unknown
return 'unknown';
}
private hasExchangeCharacteristics(
txPatterns: TransactionPatternResult,
networkPatterns: NetworkPatternResult
): boolean {
return (
txPatterns.volumeMetrics.averageDaily > 1000000 && // High daily volume
networkPatterns.uniqueCounterparties > 1000 && // Many unique counterparties
txPatterns.frequencyMetrics.transactionsPerDay > 500 && // High transaction frequency
networkPatterns.bidirectionalRatio > 0.4 // Significant bidirectional flow
);
}
private hasMixerCharacteristics(
txPatterns: TransactionPatternResult,
networkPatterns: NetworkPatternResult
): boolean {
return (
networkPatterns.fanOutRatio > 0.8 && // High fan-out ratio
txPatterns.volumeMetrics.standardDeviation < 0.2 && // Consistent transaction amounts
networkPatterns.intermediaryScore > 0.7 && // Acts as intermediary
txPatterns.roundNumberFrequency > 0.6 // Frequent round number transactions
);
}
private detectInstitutionalBehavior(txPatterns: TransactionPatternResult): boolean {
return (
txPatterns.volumeMetrics.averageTransaction > 50000 && // Large average transactions
txPatterns.frequencyMetrics.regularityScore > 0.8 && // Regular transaction patterns
txPatterns.businessHoursRatio > 0.7 && // Primarily business hours activity
txPatterns.weekdayRatio > 0.8 // Primarily weekday activity
);
}
}
// Transaction behavior analyzer
export class TransactionBehaviorAnalyzer {
constructor(private config: TransactionBehaviorConfig) {}
async analyze(transactions: Transaction[]): Promise<TransactionPatternResult> {
try {
if (transactions.length === 0) {
return this.generateEmptyResult();
}
// Calculate volume metrics
const volumeMetrics = this.calculateVolumeMetrics(transactions);
// Calculate frequency metrics
const frequencyMetrics = this.calculateFrequencyMetrics(transactions);
// Calculate timing patterns
const timingPatterns = this.analyzeTimingPatterns(transactions);
// Calculate amount patterns
const amountPatterns = this.analyzeAmountPatterns(transactions);
// Calculate gas usage patterns
const gasPatterns = this.analyzeGasPatterns(transactions);
return {
volumeMetrics,
frequencyMetrics,
timingPatterns,
amountPatterns,
gasPatterns,
roundNumberFrequency: this.calculateRoundNumberFrequency(transactions),
businessHoursRatio: this.calculateBusinessHoursRatio(transactions),
weekdayRatio: this.calculateWeekdayRatio(transactions),
duplicateAmountFrequency: this.calculateDuplicateAmountFrequency(transactions)
};
} catch (error) {
logger.error('Transaction behavior analysis failed:', error);
throw error;
}
}
private calculateVolumeMetrics(transactions: Transaction[]): VolumeMetrics {
const amounts = transactions.map(tx => parseFloat(tx.value));
const totalVolume = amounts.reduce((sum, amount) => sum + amount, 0);
// Calculate daily volumes
const dailyVolumes = this.groupByDay(transactions).map(day =>
day.reduce((sum, tx) => sum + parseFloat(tx.value), 0)
);
return {
totalVolume,
averageTransaction: totalVolume / transactions.length,
medianTransaction: this.calculateMedian(amounts),
standardDeviation: this.calculateStandardDeviation(amounts),
averageDaily: dailyVolumes.length > 0 ? dailyVolumes.reduce((a, b) => a + b, 0) / dailyVolumes.length : 0,
largestTransaction: Math.max(...amounts),
smallestTransaction: Math.min(...amounts),
volumeGrowthRate: this.calculateVolumeGrowthRate(dailyVolumes)
};
}
private calculateFrequencyMetrics(transactions: Transaction[]): FrequencyMetrics {
const timespan = this.calculateTimespan(transactions);
const days = timespan / (1000 * 60 * 60 * 24);
// Calculate time intervals between transactions
const intervals = this.calculateIntervals(transactions);
return {
transactionsPerDay: transactions.length / Math.max(days, 1),
transactionsPerHour: transactions.length / Math.max(timespan / (1000 * 60 * 60), 1),
averageInterval: intervals.length > 0 ? intervals.reduce((a, b) => a + b, 0) / intervals.length : 0,
medianInterval: this.calculateMedian(intervals),
regularityScore: this.calculateRegularityScore(intervals),
burstiness: this.calculateBurstiness(intervals)
};
}
private analyzeAmountPatterns(transactions: Transaction[]): AmountPatternResult {
const amounts = transactions.map(tx => parseFloat(tx.value));
// Detect common amount patterns
const roundNumbers = amounts.filter(amount => this.isRoundNumber(amount));
const duplicates = this.findDuplicateAmounts(amounts);
const sequences = this.findSequentialAmounts(amounts);
return {
roundNumberCount: roundNumbers.length,
roundNumberRatio: roundNumbers.length / amounts.length,
duplicateAmountGroups: duplicates.length,
sequentialPatterns: sequences.length,
amountVariability: this.calculateStandardDeviation(amounts) / this.calculateMean(amounts),
commonAmounts: this.findMostCommonAmounts(amounts, 5)
};
}
private isRoundNumber(amount: number): boolean {
// Check if amount is a round number (ends in multiple zeros)
const amountStr = amount.toString();
const trailingZeros = amountStr.match(/0+$/);
return trailingZeros ? trailingZeros[0].length >= 2 : false;
}
private calculateRegularityScore(intervals: number[]): number {
if (intervals.length < 2) return 0;
const mean = intervals.reduce((a, b) => a + b, 0) / intervals.length;
const variance = intervals.reduce((sum, interval) => sum + Math.pow(interval - mean, 2), 0) / intervals.length;
const coefficientOfVariation = Math.sqrt(variance) / mean;
// Lower coefficient of variation = more regular
return Math.max(0, 1 - coefficientOfVariation);
}
}Real-Time Intelligence Updates
Live Intelligence Monitoring and Alert System
// Real-time intelligence monitoring and update system
export class RealTimeIntelMonitor {
private sourceMonitors: Map<string, SourceMonitor> = new Map();
private alertProcessor: IntelAlertProcessor;
private updateQueue: PriorityQueue<IntelUpdateTask>;
private correlationTracker: CorrelationTracker;
private subscriptionManager: SubscriptionManager;
constructor(
private config: RealTimeIntelConfig,
private intelligenceSources: Map<string, IntelligenceSource>,
private knowledgeGraph: KnowledgeGraph,
private notificationService: NotificationService
) {
this.alertProcessor = new IntelAlertProcessor(config.alerts);
this.updateQueue = new PriorityQueue<IntelUpdateTask>();
this.correlationTracker = new CorrelationTracker(config.correlation);
this.subscriptionManager = new SubscriptionManager(config.subscriptions);
this.setupRealTimeMonitoring();
}
private async setupRealTimeMonitoring() {
for (const [sourceName, source] of this.intelligenceSources) {
try {
const monitor = new SourceMonitor(sourceName, source, {
updateInterval: this.config.updateIntervals[sourceName] || 300000, // 5 minutes default
priority: this.config.sourcePriorities[sourceName] || 5,
retryAttempts: 3
});
await monitor.initialize();
this.sourceMonitors.set(sourceName, monitor);
// Set up event handlers
monitor.on('intelligenceUpdate', (update) => this.handleIntelligenceUpdate(update));
monitor.on('newEntity', (entity) => this.handleNewEntity(entity));
monitor.on('entityUpdate', (entity) => this.handleEntityUpdate(entity));
monitor.on('riskAlert', (alert) => this.handleRiskAlert(alert));
logger.info(`Real-time monitoring initialized for ${sourceName}`);
} catch (error) {
logger.error(`Failed to initialize monitoring for ${sourceName}:`, error);
}
}
// Start update processing
this.startUpdateProcessing();
}
async subscribeToEntityUpdates(
entityId: string,
entityType: EntityType,
subscriptionConfig: EntitySubscriptionConfig
): Promise<string> {
const subscriptionId = `sub_${entityId}_${Date.now()}`;
try {
const subscription: EntitySubscription = {
id: subscriptionId,
entityId,
entityType,
config: subscriptionConfig,
createdAt: new Date(),
lastUpdate: null,
isActive: true
};
await this.subscriptionManager.addSubscription(subscription);
// Set up monitoring for this entity across all sources
for (const monitor of this.sourceMonitors.values()) {
await monitor.addEntityWatch(entityId, entityType, subscriptionConfig.updateThresholds);
}
logger.info(`Created entity subscription ${subscriptionId} for ${entityId}`);
return subscriptionId;
} catch (error) {
logger.error('Failed to create entity subscription:', error);
throw error;
}
}
private async handleIntelligenceUpdate(update: IntelligenceUpdate) {
try {
// Queue update for processing
await this.queueIntelligenceUpdate({
updateId: update.id,
sourceId: update.sourceId,
entityId: update.entityId,
entityType: update.entityType,
updateType: update.type,
data: update.data,
priority: this.calculateUpdatePriority(update),
timestamp: new Date()
});
} catch (error) {
logger.error('Failed to handle intelligence update:', error);
}
}
private async queueIntelligenceUpdate(task: IntelUpdateTask) {
// Check if update is significant enough to process
if (!await this.shouldProcessUpdate(task)) {
return;
}
// Add to priority queue
this.updateQueue.enqueue(task, task.priority);
logger.debug('Queued intelligence update', {
entityId: task.entityId,
sourceId: task.sourceId,
priority: task.priority,
updateType: task.updateType
});
}
private async shouldProcessUpdate(task: IntelUpdateTask): Promise<boolean> {
// Check minimum time interval since last update
const lastUpdate = await this.getLastUpdateTime(task.entityId, task.sourceId);
const minInterval = this.config.minUpdateIntervals[task.sourceId] || 60000; // 1 minute default
if (Date.now() - lastUpdate < minInterval) {
return false;
}
// Check if update represents significant change
const significanceThreshold = this.config.significanceThresholds[task.updateType] || 0.1;
const updateSignificance = await this.calculateUpdateSignificance(task);
return updateSignificance >= significanceThreshold;
}
private startUpdateProcessing() {
// Process high-priority updates immediately
setInterval(async () => {
await this.processHighPriorityUpdates();
}, 5000); // Every 5 seconds
// Process all updates in batches
setInterval(async () => {
await this.processBatchUpdates();
}, 30000); // Every 30 seconds
}
private async processHighPriorityUpdates() {
const highPriorityTasks: IntelUpdateTask[] = [];
// Extract high-priority tasks (priority >= 8)
while (!this.updateQueue.isEmpty()) {
const task = this.updateQueue.peek();
if (task && task.priority >= 8) {
highPriorityTasks.push(this.updateQueue.dequeue()!);
} else {
break;
}
}
if (highPriorityTasks.length > 0) {
await this.processUpdateBatch(highPriorityTasks);
}
}
private async processUpdateBatch(tasks: IntelUpdateTask[]) {
const processingPromises = tasks.map(async (task) => {
try {
return await this.processIntelligenceUpdate(task);
} catch (error) {
logger.error('Individual update processing failed:', error, { taskId: task.updateId });
return null;
}
});
const results = await Promise.all(processingPromises);
// Handle successful updates
for (let i = 0; i < results.length; i++) {
const result = results[i];
const task = tasks[i];
if (result) {
await this.handleUpdateResult(task, result);
}
}
}
private async processIntelligenceUpdate(task: IntelUpdateTask): Promise<UpdateResult> {
const startTime = Date.now();
try {
// Get current entity state
const currentEntity = await this.knowledgeGraph.getEntity(task.entityId);
// Apply update to knowledge graph
const updatedEntity = await this.knowledgeGraph.updateEntity(
task.entityId,
task.data,
task.sourceId
);
// Check for correlation opportunities
const correlations = await this.correlationTracker.findCorrelations(
updatedEntity,
task.data
);
// Calculate impact of update
const impact = this.calculateUpdateImpact(currentEntity, updatedEntity);
// Generate alerts if necessary
const alerts = await this.alertProcessor.processUpdate(updatedEntity, impact);
const processingTime = Date.now() - startTime;
return {
entityId: task.entityId,
sourceId: task.sourceId,
success: true,
previousState: currentEntity,
newState: updatedEntity,
impact,
correlations,
alerts,
processingTime,
timestamp: new Date()
};
} catch (error) {
logger.error('Intelligence update processing failed:', error);
throw error;
}
}
private async handleUpdateResult(task: IntelUpdateTask, result: UpdateResult) {
try {
// Notify subscribers
await this.notifySubscribers(task.entityId, result);
// Send alerts if generated
if (result.alerts.length > 0) {
await this.sendIntelligenceAlerts(result.alerts, result);
}
// Update subscription states
await this.subscriptionManager.updateLastNotification(task.entityId, new Date());
// Track metrics
this.trackUpdateMetrics(task, result);
} catch (error) {
logger.error('Failed to handle update result:', error);
}
}
private async notifySubscribers(entityId: string, result: UpdateResult) {
const subscriptions = await this.subscriptionManager.getActiveSubscriptions(entityId);
for (const subscription of subscriptions) {
try {
// Check if update meets notification criteria
if (this.meetsNotificationCriteria(subscription, result)) {
const notification: IntelligenceNotification = {
subscriptionId: subscription.id,
entityId,
updateType: 'entity_intelligence_update',
data: {
previousRiskScore: result.previousState?.riskScore || 0,
newRiskScore: result.newState.riskScore,
riskChange: result.impact.riskScoreChange,
newLabels: result.impact.newLabels,
sourceUpdates: result.impact.sourceUpdates
},
timestamp: new Date()
};
await this.notificationService.sendIntelligenceNotification(notification);
}
} catch (error) {
logger.error('Subscriber notification failed:', error, {
subscriptionId: subscription.id
});
}
}
}
async generateIntelligenceReport(
entityId: string,
timeframe: number = 86400000
): Promise<IntelligenceReport> {
const endTime = Date.now();
const startTime = endTime - timeframe;
try {
// Get entity current state
const entity = await this.knowledgeGraph.getEntity(entityId);
if (!entity) {
throw new Error(`Entity not found: ${entityId}`);
}
// Get update history
const updateHistory = await this.getUpdateHistory(entityId, startTime, endTime);
// Get correlation history
const correlations = await this.correlationTracker.getCorrelations(entityId, startTime, endTime);
// Get alert history
const alerts = await this.alertProcessor.getAlerts(entityId, startTime, endTime);
// Calculate intelligence trends
const trends = this.calculateIntelligenceTrends(updateHistory);
// Generate risk trajectory
const riskTrajectory = this.calculateRiskTrajectory(updateHistory);
return {
entityId,
entityType: entity.type,
timeframe: { start: new Date(startTime), end: new Date(endTime) },
currentState: entity,
updateHistory,
correlations,
alerts,
trends,
riskTrajectory,
summary: {
totalUpdates: updateHistory.length,
sourcesInvolved: new Set(updateHistory.map(u => u.sourceId)).size,
riskScoreChange: entity.riskScore - (updateHistory[0]?.previousRiskScore || entity.riskScore),
newLabelsAdded: updateHistory.reduce((sum, u) => sum + u.impact.newLabels.length, 0),
correlationsFound: correlations.length,
alertsGenerated: alerts.length
},
generatedAt: new Date()
};
} catch (error) {
logger.error('Failed to generate intelligence report:', error);
throw error;
}
}
}This comprehensive Intel Agent documentation provides the technical foundation for understanding and implementing sophisticated intelligence aggregation, entity resolution, and behavioral analysis capabilities that power Kaizen AI's risk assessment and threat detection systems.
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