🦀 OpenTrust Protocol (OTP) - Rust SDK

🦀 The official Rust implementation of the OpenTrust Protocol - The MATHEMATICAL EMBODIMENT OF TRUST ITSELF

🔥 REVOLUTIONARY UPDATE: v3.0.0 - Performance Oracle & Circle of Trust

OTP v3.0.0 introduces:

• Zero Pillar: Proof-of-Conformance Seals (cryptographic proof of specification compliance)
• First Pillar: Performance Oracle (Circle of Trust for real-world outcome tracking)

Every fusion operation now generates a cryptographic fingerprint (SHA-256 hash) that proves the operation was performed according to the exact OTP specification. Additionally, the Performance Oracle system enables tracking real-world outcomes to measure the effectiveness of OTP-based decisions.

This transforms OTP from a trust protocol into the mathematical embodiment of trust itself.

🛡️ What are Conformance Seals?

• 🔐 Cryptographic Proof: SHA-256 hash of the fusion operation
• ✅ Mathematical Verification: Anyone can verify conformance independently
• 🚨 Tamper Detection: Any modification breaks the seal instantly
• ⚡ Self-Auditing: OTP audits itself through mathematics

🎯 The Revolution

This solves the fundamental paradox: "Who audits the auditor?"

With Conformance Seals, OTP audits itself through mathematics. No more blind trust in implementations - every operation is mathematically provable.

🔮 What is the Performance Oracle?

The Performance Oracle is the First Pillar of OTP, enabling the Circle of Trust:

• 🆔 Judgment IDs: Unique SHA-256 identifiers for every decision
• 🌍 Outcome Tracking: Link decisions with real-world results
• 📊 Performance Measurement: Measure calibration and effectiveness
• 🔄 Learning Loop: Continuous improvement through feedback
• 🎯 Trust Validation: Prove that OTP decisions lead to better outcomes

🔄 The Circle of Trust

1. Decision: OTP makes a decision with a unique Judgment ID
2. Action: The decision is acted upon in the real world
3. Outcome: The Performance Oracle records the actual result
4. Learning: The system learns from the decision-outcome pair
5. Improvement: Future decisions become more accurate and trustworthy

🚀 What is OpenTrust Protocol?

The OpenTrust Protocol (OTP) is a revolutionary framework for representing and managing uncertainty, trust, and auditability in AI systems, blockchain applications, and distributed networks. Built on neutrosophic logic, OTP provides a mathematical foundation for handling incomplete, inconsistent, and uncertain information.

🎯 Why OTP Matters

• 🔒 Trust & Security: Quantify trust levels in AI decisions and blockchain transactions
• 📊 Uncertainty Management: Handle incomplete and contradictory information gracefully
• 🔍 Full Auditability: Complete provenance chain for every decision
• 🌐 Cross-Platform: Interoperable across Python, JavaScript, Rust, and more
• ⚡ Performance: Zero-cost abstractions with memory safety guarantees

🦀 Rust SDK Features

Core Components

• Neutrosophic Judgments: Represent evidence as (T, I, F) values where T + I + F ≤ 1.0
• Fusion Operators: Combine multiple judgments with conflict-aware algorithms
• OTP Mappers: Transform raw data into neutrosophic judgments
• Provenance Chain: Complete audit trail for every transformation

🚀 Quick Start with Conformance Seals

use opentrustprotocol::{NeutrosophicJudgment, conflict_aware_weighted_average, verify_conformance_seal_with_inputs};

fn main() -> Result<(), Box<dyn std::error::Error>> {
    // Create judgments
    let judgment1 = NeutrosophicJudgment::new(
        0.8, 0.2, 0.0,
        vec![("sensor1".to_string(), "2023-01-01T00:00:00Z".to_string())]
    )?;
    
    let judgment2 = NeutrosophicJudgment::new(
        0.6, 0.3, 0.1,
        vec![("sensor2".to_string(), "2023-01-01T00:00:00Z".to_string())]
    )?;
    
    // Fuse judgments (now with automatic Conformance Seal generation)
    let fused = conflict_aware_weighted_average(
        &[&judgment1, &judgment2],
        &[0.6, 0.4]
    )?;
    
    // Verify mathematical proof of conformance
    let is_mathematically_proven = verify_conformance_seal_with_inputs(
        &fused,
        &[&judgment1, &judgment2],
        &[0.6, 0.4]
    )?;
    
    if is_mathematically_proven {
        println!("✅ MATHEMATICAL PROOF: This judgment is 100% conformant!");
    } else {
        println!("❌ WARNING: Conformance verification failed!");
    }
    
    // Extract the Conformance Seal
    let seal = fused.provenance_chain.last().unwrap().conformance_seal.as_ref().unwrap();
    println!("🔐 Conformance Seal: {}", seal);
    
    Ok(())
}

🆕 OTP Mapper System (v0.2.0)

Transform any data type into neutrosophic judgments:

use opentrustprotocol::*;

// DeFi Health Factor Mapping
let health_mapper = NumericalMapper::new(NumericalParams {
    base: BaseMapperParams {
        id: "defi-health-factor".to_string(),
        version: "1.0.0".to_string(),
        mapper_type: MapperType::Numerical,
        description: Some("DeFi health factor mapper".to_string()),
        metadata: None,
    },
    falsity_point: 1.0,    // Liquidation threshold
    indeterminacy_point: 1.5, // Warning zone  
    truth_point: 2.0,      // Safe zone
    clamp_to_range: Some(true),
})?;

// Transform health factor to neutrosophic judgment
let judgment = health_mapper.apply(1.8)?;
println!("Health Factor 1.8: T={:.3}, I={:.3}, F={:.3}", 
         judgment.t, judgment.i, judgment.f);

Available Mappers

📦 Installation

Add to your Cargo.toml:

[dependencies]
opentrustprotocol = "0.2.0"

🚀 Quick Start

Basic Neutrosophic Judgment

use opentrustprotocol::*;

// Create judgments with provenance
let judgment1 = NeutrosophicJudgment::new(
    0.8, 0.2, 0.0,  // T=0.8, I=0.2, F=0.0
    vec![("sensor1".to_string(), "2023-01-01T00:00:00Z".to_string())]
)?;

let judgment2 = NeutrosophicJudgment::new(
    0.6, 0.3, 0.1,  // T=0.6, I=0.3, F=0.1
    vec![("sensor2".to_string(), "2023-01-01T00:00:00Z".to_string())]
)?;

// Fuse judgments with conflict-aware weighted average
let fused = conflict_aware_weighted_average(
    &[&judgment1, &judgment2],
    &[0.6, 0.4]  // weights
)?;

println!("Fused: {}", fused);

Real-World Example: DeFi Risk Assessment

use opentrustprotocol::*;
use std::collections::HashMap;

// 1. Health Factor Mapper
let health_mapper = NumericalMapper::new(NumericalParams {
    base: BaseMapperParams {
        id: "health-factor".to_string(),
        version: "1.0.0".to_string(),
        mapper_type: MapperType::Numerical,
        description: None,
        metadata: None,
    },
    falsity_point: 1.0,
    indeterminacy_point: 1.5,
    truth_point: 2.0,
    clamp_to_range: Some(true),
})?;

// 2. KYC Status Mapper
let mut kyc_mappings = HashMap::new();
kyc_mappings.insert("VERIFIED".to_string(), JudgmentData {
    T: 0.9, I: 0.1, F: 0.0,
});

let kyc_mapper = CategoricalMapper::new(CategoricalParams {
    base: BaseMapperParams {
        id: "kyc-status".to_string(),
        version: "1.0.0".to_string(),
        mapper_type: MapperType::Categorical,
        description: None,
        metadata: None,
    },
    mappings: kyc_mappings,
    default_judgment: None,
})?;

// 3. SSL Certificate Mapper
let ssl_mapper = BooleanMapper::new(BooleanParams {
    base: BaseMapperParams {
        id: "ssl-cert".to_string(),
        version: "1.0.0".to_string(),
        mapper_type: MapperType::Boolean,
        description: None,
        metadata: None,
    },
    true_map: JudgmentData { T: 0.9, I: 0.1, F: 0.0 },
    false_map: JudgmentData { T: 0.0, I: 0.0, F: 1.0 },
})?;

// 4. Transform data to judgments
let health_judgment = health_mapper.apply(1.8)?;
let kyc_judgment = kyc_mapper.apply("VERIFIED")?;
let ssl_judgment = ssl_mapper.apply(true)?;

// 5. Fuse for final risk assessment
let risk_assessment = conflict_aware_weighted_average(
    &[&health_judgment, &kyc_judgment, &ssl_judgment],
    &[0.5, 0.3, 0.2]  // Health factor most important
)?;

println!("DeFi Risk Assessment: T={:.3}, I={:.3}, F={:.3}", 
         risk_assessment.t, risk_assessment.i, risk_assessment.f);

🏗️ Architecture

Memory Safety & Performance

• 🔒 Memory Safe: No null pointers, no data races
• ⚡ Zero-Cost Abstractions: Zero runtime overhead
• 🔄 Thread Safe: Arc<RwLock<>> for concurrent access
• 📦 Minimal Dependencies: Only serde, serde_json, and thiserror

Mapper Registry System

use opentrustprotocol::*;

let registry = get_global_registry();

// Register mappers
registry.register(Box::new(health_mapper))?;
registry.register(Box::new(kyc_mapper))?;

// Retrieve and use
let mapper = registry.get("health-factor")?;
let judgment = mapper.apply(1.5)?;

// Export configurations
let configs = registry.export();

🧪 Testing

Run the comprehensive test suite:

cargo test

Run examples:

cargo run --example mapper_examples

📊 Use Cases

🔗 Blockchain & DeFi

• Risk Assessment: Health factors, liquidation risks
• KYC/AML: Identity verification, compliance scoring
• Oracle Reliability: Data source trust evaluation

🤖 AI & Machine Learning

• Uncertainty Quantification: Model confidence scoring
• Data Quality: Input validation and reliability
• Decision Fusion: Multi-model ensemble decisions

🌐 IoT & Sensors

• Sensor Reliability: Temperature, pressure, motion sensors
• Data Fusion: Multi-sensor decision making
• Anomaly Detection: Trust-based outlier identification

🏭 Supply Chain

• Product Tracking: Status monitoring and verification
• Quality Control: Defect detection and classification
• Compliance: Regulatory requirement tracking

🔧 Advanced Features

Custom Mapper Creation

// Create your own mapper by implementing the Mapper trait
struct CustomMapper {
    // Your implementation
}

impl Mapper for CustomMapper {
    fn apply(&self, input: &dyn std::any::Any) -> Result<NeutrosophicJudgment> {
        // Your transformation logic
    }
    
    fn get_params(&self) -> &dyn std::any::Any {
        // Return your parameters
    }
    
    fn get_type(&self) -> MapperType {
        // Return your mapper type
    }
    
    fn validate(&self) -> Result<()> {
        // Validate your parameters
    }
}

JSON Schema Validation

let validator = MapperValidator::new();
let result = validator.validate(&mapper_params);

if result.valid {
    println!("✅ Valid mapper configuration");
} else {
    for error in result.errors {
        println!("❌ Validation error: {}", error);
    }
}

🌟 Why Choose OTP Rust SDK?

🚀 Performance

• Zero-cost abstractions - No runtime overhead
• Memory safe - No garbage collector, no memory leaks
• Fast compilation - Optimized for development speed

🔒 Safety

• Memory safety - Compile-time guarantees
• Thread safety - Safe concurrent access
• Type safety - Strong typing prevents errors

🔧 Developer Experience

• Rich error messages - Clear, actionable feedback
• Comprehensive docs - Extensive documentation and examples
• Active community - Growing ecosystem and support

📈 Performance Benchmarks

🤝 Contributing

We welcome contributions! Please see our Contributing Guide for details.

Development Setup

git clone https://github.com/draxork/opentrustprotocol-rs.git
cd opentrustprotocol-rs
cargo test
cargo run --example mapper_examples

📚 Documentation

• API Documentation - Complete API reference
• Examples - Real-world usage examples
• Specification - OTP v2.0 specification

🌐 Ecosystem

OTP is available across multiple platforms:

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

🙏 Acknowledgments

• Neutrosophic Logic: Founded by Florentin Smarandache
• Rust Community: For the amazing language and ecosystem
• Open Source Contributors: Making trust auditable for everyone