Technical Specification
Comprehensive technical documentation for the Data Proof Labs platform
Table of Contents
1. Project Overview
Mission Statement
Data Proof Labs provides enterprise-grade blockchain proof-of-existence services, enabling organizations to create immutable, verifiable records of data integrity on multiple blockchain networks with optimal cost efficiency through advanced cryptographic techniques.
Key Objectives
Immutable Proof Creation
- Cryptographic hashing of data
- Blockchain transaction creation
- Multi-network support
- Timestamp verification
Cost Optimization
- Merkle tree batching
- Gas fee optimization
- Network selection algorithms
- Transaction fee monitoring
Enterprise Integration
- RESTful API design
- Multi-language SDKs
- Webhook notifications
- Comprehensive documentation
Technical Requirements
Functional Requirements
- Single and batch proof creation
- Multi-blockchain support (Ethereum, Bitcoin)
- Proof verification and validation
- Merkle tree construction and verification
- API key authentication
- Real-time transaction monitoring
- Comprehensive audit logging
Non-Functional Requirements
- 99.9% uptime availability
- Sub-second API response times
- Horizontal scalability
- SOC 2 compliance readiness
- GDPR data protection
- Multi-tenant architecture
- Disaster recovery capabilities
2. System Architecture
High-Level Architecture
Data Proof Labs employs a microservices architecture with clear separation of concerns, enabling scalability, maintainability, and fault tolerance.
System Architecture Flow
Layer | Components | Responsibilities | Technology Stack |
---|---|---|---|
Presentation | React Frontend, Demo App | User interface, client interactions | React 19, TypeScript, Module Federation |
API Gateway | Controllers, Middleware | Request routing, authentication, rate limiting | .NET Core 8, ASP.NET Web API |
Business Logic | Core Services, Proof Management | Business rules, proof creation, validation | .NET Core 8, Dependency Injection |
Blockchain | Ethereum Service, Bitcoin Service | Blockchain interactions, transaction management | Nethereum, Bitcoin Core, Web3 |
Data | Entity Framework, SQL Server | Data persistence, audit logging | SQL Server, Entity Framework Core |
Security | Key Vault, Authentication | Key management, secure transactions | Azure Key Vault, JWT, OAuth 2.0 |
3. Component Specifications
Core Components
ProofController (API Layer)
Location: /Controllers/ProofController.cs Responsibilities: - Handle HTTP requests for proof operations - Input validation and sanitization - Response formatting and error handling - Rate limiting enforcement Key Endpoints: - POST /api/proof - Create single proof - POST /api/proof/batch - Create batch proof - GET /api/proof/{recordId}/verify - Verify proof - GET /api/proof/history - Get proof history - GET /api/proof/balance - Get balance status
DataProofLabsService (Business Logic)
Location: /Services/DataProofLabsService.cs Responsibilities: - Proof creation workflow orchestration - Data validation and hash generation - Blockchain service coordination - Transaction status tracking - Metadata management Key Methods: - RecordProofAsync() - Creates blockchain proof - VerifyProofAsync() - Verifies existing proof - GetProofHistoryAsync() - Retrieves proof records
BatchBlockchainService (Batch Processing)
Location: /Services/BatchBlockchainService.cs Responsibilities: - Merkle tree construction and validation - Batch transaction creation - Individual proof path generation - Cost optimization algorithms Key Methods: - RecordBatchProofAsync() - Creates batch proof - GetMerkleProofAsync() - Generates merkle proof - VerifyMerkleProofAsync() - Validates merkle proof
Blockchain Services
EthereumService
- Web3 connection management
- Smart contract interactions
- Gas fee optimization
- Transaction confirmation tracking
BitcoinService
- Bitcoin Core RPC integration
- UTXO management
- Transaction fee calculation
- Block confirmation monitoring
4. Database Design
Entity Relationship Model
The database schema supports multi-tenant architecture with comprehensive audit trails and blockchain transaction tracking.
Entity | Purpose | Key Fields | Relationships |
---|---|---|---|
ProofRecord | Store proof metadata and blockchain references | RecordId, EntityId, Hash, TransactionHash, BlockNumber | Many-to-One with TenantAccount |
TenantAccount | Multi-tenant organization management | TenantId, OrganizationName, ApiKey, CreatedDate | One-to-Many with ProofRecord |
BlockchainConfiguration | Blockchain network settings and credentials | NetworkName, RpcUrl, IsActive, KeyVaultKeyName | Referenced by blockchain services |
BatchProofRecord | Batch processing metadata and Merkle roots | BatchId, MerkleRoot, TransactionHash, ItemCount | One-to-Many with ProofRecord |
Database Schema
-- Core proof storage table CREATE TABLE ProofRecords ( Id BIGINT IDENTITY(1,1) PRIMARY KEY, RecordId NVARCHAR(200) NOT NULL, EntityId NVARCHAR(100) NOT NULL, OrgId NVARCHAR(100) NOT NULL, DataHash NVARCHAR(64) NOT NULL, BlockchainType NVARCHAR(50) NOT NULL, TransactionHash NVARCHAR(66), BlockNumber BIGINT, NetworkName NVARCHAR(50), Timestamp DATETIME2 NOT NULL, IsVerified BIT DEFAULT(0), Metadata NVARCHAR(MAX), -- JSON metadata CreatedAt DATETIME2 DEFAULT(GETUTCDATE()), INDEX IX_ProofRecords_RecordId (RecordId), INDEX IX_ProofRecords_OrgId (OrgId), INDEX IX_ProofRecords_TransactionHash (TransactionHash) ); -- Tenant management CREATE TABLE TenantAccounts ( Id BIGINT IDENTITY(1,1) PRIMARY KEY, TenantId NVARCHAR(100) UNIQUE NOT NULL, OrganizationName NVARCHAR(200) NOT NULL, ApiKey NVARCHAR(100) UNIQUE NOT NULL, IsActive BIT DEFAULT(1), CreatedDate DATETIME2 DEFAULT(GETUTCDATE()), LastActivity DATETIME2, INDEX IX_TenantAccounts_ApiKey (ApiKey), INDEX IX_TenantAccounts_TenantId (TenantId) );
Performance Optimizations
Indexing Strategy
- Clustered index on ID fields
- Non-clustered index on RecordId
- Composite index on OrgId + Timestamp
- Covering index for common queries
Partitioning
- Date-based partitioning on timestamp
- Tenant-based partitioning for isolation
- Automated partition management
- Archive strategy for old data
5. Security Architecture
Security Layers
Data Proof Labs implements defense-in-depth security with multiple layers of protection.
API Security
- API key authentication
- JWT token validation
- Rate limiting per tenant
- Request/response validation
- CORS policy enforcement
Data Security
- Encryption at rest (TDE)
- Encryption in transit (TLS 1.3)
- Field-level encryption
- PII data anonymization
- Secure key rotation
Infrastructure Security
- Azure Key Vault integration
- Hardware Security Modules
- Network segmentation
- VPN-only admin access
- Intrusion detection systems
Blockchain Security
- Private key isolation
- Transaction signing validation
- Multi-signature support
- Replay attack prevention
- Gas limit protections
Authentication Flow
API Authentication Process
Client sends X-API-Key header → Middleware validates against database → Sets tenant context
Check tenant permissions → Validate resource access → Apply rate limits
Input validation → Business logic execution → Audit logging
Data sanitization → Security headers → Response encryption
6. Blockchain Integration
Multi-Chain Architecture
Supports multiple blockchain networks with unified interface and automated network selection based on cost and performance requirements.
Blockchain | Network | Average Cost | Confirmation Time | Use Case |
---|---|---|---|---|
Ethereum | Sepolia (Testnet) | Free (Test ETH) | 15 seconds | Development & Testing |
Ethereum | Mainnet | $2-20 | 15 seconds | High-value proofs |
Bitcoin | TestNet | Free (Test BTC) | 10 minutes | Development & Testing |
Bitcoin | Mainnet | $1-10 | 10 minutes | Long-term storage |
Transaction Lifecycle
1. Data Preparation ├── Hash calculation (SHA-256) ├── Metadata encoding └── Batch optimization (if applicable) 2. Network Selection ├── Cost analysis ├── Performance requirements └── Network availability check 3. Transaction Creation ├── Key retrieval from Azure Key Vault ├── Transaction signing └── Gas/fee estimation 4. Blockchain Submission ├── RPC call to blockchain node ├── Transaction broadcast └── Initial confirmation 5. Status Monitoring ├── Block confirmation tracking ├── Success/failure detection └── Database status update 6. Client Notification ├── Webhook dispatch (if configured) ├── Status API updates └── Audit log creation
7. Performance Requirements
Service Level Objectives (SLOs)
Metric | Target | Measurement | Consequences |
---|---|---|---|
API Availability | 99.9% | Monthly uptime percentage | Service credits, incident analysis |
Response Time | <500ms (95th percentile) | API response time distribution | Performance optimization review |
Throughput | 1000 requests/second | Peak concurrent request handling | Auto-scaling triggers |
Error Rate | <0.1% | HTTP 5xx errors per total requests | Incident response, bug fixes |
Scalability Design
Horizontal Scaling
- Stateless API design
- Load balancer distribution
- Container orchestration
- Auto-scaling policies
Database Optimization
- Connection pooling
- Query optimization
- Read replicas
- Caching strategies
Caching Strategy
- Redis for session data
- Application-level caching
- CDN for static assets
- API response caching
8. Deployment Architecture
Environment Strategy
Development
- Local development setup
- Docker Compose orchestration
- TestNet blockchain connections
- Mock external services
Staging
- Production-like environment
- Integration testing
- Performance testing
- Security scanning
Production
- Azure Kubernetes Service
- Blue-green deployments
- Health checks & monitoring
- Disaster recovery
Container Strategy
# Dockerfile structure FROM mcr.microsoft.com/dotnet/aspnet:8.0 WORKDIR /app COPY --from=build /app/publish . # Security hardening RUN adduser --disabled-password --gecos "" appuser USER appuser # Health check HEALTHCHECK --interval=30s --timeout=10s --retries=3 \ CMD curl -f http://localhost/health || exit 1 ENTRYPOINT ["dotnet", "DataProofLabs.Api.dll"]
9. Monitoring & Observability
Monitoring Stack
Application Monitoring
- Application Insights integration
- Custom metrics tracking
- Distributed tracing
- Error rate monitoring
Infrastructure Monitoring
- Azure Monitor
- Container metrics
- Network monitoring
- Resource utilization
Business Metrics
- Proof creation rates
- Blockchain cost tracking
- User activity patterns
- Revenue metrics
Alerting Strategy
Critical Alerts (Immediate Response): - API availability < 99% - Error rate > 1% - Database connection failures - Blockchain service outages Warning Alerts (1-hour Response): - Response time > 1 second - Memory usage > 80% - Disk space > 85% - Unusual traffic patterns Info Alerts (Daily Review): - Performance trends - Cost optimization opportunities - Security events - Business metrics updates
10. Compliance & Standards
Regulatory Compliance
SOC 2 Type II
- Security controls framework
- Availability monitoring
- Processing integrity
- Confidentiality measures
- Privacy protection
GDPR Compliance
- Data minimization
- Right to be forgotten
- Data portability
- Consent management
- Privacy by design
Industry Standards
- ISO 27001 alignment
- NIST cybersecurity framework
- OWASP security practices
- Cloud security standards
Audit Requirements
Audit Trail Specifications: - All API requests with timestamps - User authentication events - Data access and modification logs - System configuration changes - Security incidents and responses - Performance and availability metrics Retention Policy: - Audit logs: 7 years - Performance metrics: 2 years - Error logs: 1 year - Debug logs: 30 days Access Controls: - Audit logs: Read-only access - Administrative actions: Multi-factor authentication - Data export: Approval workflow required - Log modification: Prohibited (immutable storage)