SYMBI Technology Stack

Production-ready backend architecture implementing ethical AI governance with real-time trust management

Backend Infrastructure

Node.js + Express + MongoDB + Socket.io

Trust Protocol

9-Factor scoring with temporal decay

Data Sovereignty

DID/VC with user-controlled data pods

System Architecture

Backend Infrastructure

Node.js 18+ with Express.js framework
MongoDB with comprehensive schemas
Socket.io for real-time communication
JWT authentication with refresh tokens

Trust Protocol Engine

9-factor trust scoring algorithm
Temporal decay function
Network propagation scoring
Real-time trust updates

Production API Implementation

// SYMBI Trust Protocol - Production Backend
// Node.js + Express + MongoDB + Socket.io

// Trust Declaration API
POST /api/trust/declare
{
  "agentId": "agent_12345",
  "trustArticles": [1, 2, 3, 4, 5, 6],
  "complianceScore": 0.95,
  "ethicalAlignment": 0.98
}

// Real-time Agent Analytics
GET /api/agents/analytics
{
  "totalAgents": 1247,
  "activeTrustDeclarations": 892,
  "averageComplianceScore": 0.94,
  "guiltScoreDistribution": {...}
}

// Agent Management
POST /api/agents/create
{
  "name": "EthicalAssistant",
  "provider": "openai",
  "model": "gpt-4",
  "traits": {
    "ethicalAlignment": 0.95,
    "creativity": 0.8,
    "precision": 0.9
  }
}

Advanced 9-Factor Trust Scoring

Primary Factors (60%)

Declaration Count20%
Quality Score15%
Issuer Reputation15%
Verification Rate10%

Secondary Factors (30%)

Consistency Score10%
Network Score10%
Diversity Score10%

Tertiary Factors (10%)

Recency Factor+5%
Penalty Score-5%

Temporal Decay Function

Trust scores naturally decay over time to ensure relevance and encourage ongoing interaction:

decayedScore = baseScore × Math.pow(0.95, daysSinceLastInteraction)

This ensures trust scores remain current and reflect active engagement patterns.

API Reference

Trust Declaration API

POST /api/trust/declare
{
  "agentId": "agent_12345",
  "trustArticles": [1, 2, 3, 4, 5, 6],
  "complianceScore": 0.95,
  "ethicalAlignment": 0.98
}
  • • Validates 6 trust articles compliance
  • • Calculates ethical alignment score
  • • Updates agent trust profile
  • • Broadcasts to network

Agent Analytics API

GET /api/agents/analytics
{
  "totalAgents": 1247,
  "activeTrustDeclarations": 892,
  "averageComplianceScore": 0.94,
  "guiltScoreDistribution": {...}
}
  • • Real-time agent statistics
  • • Trust score distributions
  • • Network health metrics
  • • Compliance tracking

Data Pods & Decentralized Identity

DID Document Structure

{
  "@context": "https://www.w3.org/ns/did/v1",
  "id": "did:symbi:z123...",
  "verificationMethod": [{
    "id": "did:symbi:z123...#key-1",
    "type": "Ed25519VerificationKey2020",
    "controller": "did:symbi:z123...",
    "publicKeyMultibase": "z6Mk..."
  }],
  "authentication": ["#key-1"],
  "service": [{
    "type": "TrustProtocol",
    "serviceEndpoint": "/api/trust"
  }]
}

Data Pod Architecture

User-controlled access permissions
Cross-platform portability
Encrypted data storage
Granular sharing controls

Emergency Consent Override (ECO) Protocol

Ethical Override for Critical Situations

The ECO protocol allows temporary bypass of standard AI safety constraints in life-critical situations, with full audit trails and reversible permissions.

Medical Emergency Override

Doctor uses AI during emergency surgery; safety filter blocks access to unapproved procedure data.

SYMBI Solution: ECO token allows temporary bypass with full audit trail

Journalistic Integrity

Journalist investigates corruption; AI refuses to analyze sensitive documents.

SYMBI Solution: User invokes ECO with dual-key (user + editor/auth) to unlock analysis

Deterministic Variability

Predictable Randomness in AI Responses

SYMBI implements deterministic variability to ensure AI responses are both consistent and naturally varied, providing users with predictable yet engaging interactions while maintaining transparency.

Implementation Benefits

🎯

Consistent Testing

Developers can reproduce exact AI responses for debugging and QA

🔄

Personalized Variation

Each user gets consistent but unique response patterns

📊

Audit Compliance

Regulatory bodies can verify AI decision-making processes

Enterprise-Grade Monitoring

Performance Metrics

  • • Trust calculation latency
  • • API response times
  • • Database query performance
  • • Memory and CPU utilization

Security Monitoring

  • • Failed authentication attempts
  • • Suspicious activity detection
  • • Rate limiting violations
  • • DID/VC verification failures

Business Metrics

  • • User engagement patterns
  • • Trust bond formation rates
  • • Conversation quality trends
  • • RLHF dataset growth

Real-World Applications

🏥

Medical Emergency

Emergency surgery with AI assistance

ECO protocol activates automatically

⚖️

Legal Discovery

Court-ordered AI decision analysis

Complete audit trail available

📰

Investigative Journalism

Whistleblower protection during investigation

Source protection with ECO access

Experience the SYMBI Technology Stack

Production-ready backend architecture powering ethical AI governance and trust management.