We provide fully managed, multi-chain node infrastructure so your team can focus on product development, not server maintenance. Our services include dedicated EVM and Solana RPC endpoints, archival nodes, and validator orchestration.
Fraud Detection AI Layer
Blockchain Infrastructure
Enterprise-grade node infrastructure and RPC services with 99.9% uptime SLA.
Deploy production-ready infrastructure in days, not months, with predictable costs and zero DevOps overhead.
- Guaranteed Performance: 99.9% uptime SLA, <1 second latency, and 24/7 monitoring.
- Multi-Chain Support: Ethereum, Polygon, Arbitrum, Solana, and other leading L1/L2 networks.
- Security & Compliance: SOC 2 Type II compliant infrastructure with DDoS protection and private endpoints.
- Developer Experience: Seamless integration, detailed analytics dashboards, and dedicated technical support.
Core Capabilities of Our Fraud Detection AI
Our AI layer provides proactive, on-chain defense against sophisticated threats, reducing false positives and protecting user assets. Built for high-throughput DeFi and NFT platforms.
Real-Time Transaction Analysis
Analyzes pending mempool transactions with sub-100ms latency to identify and flag malicious patterns—like sandwich attacks or wash trading—before they are confirmed on-chain.
Wallet Reputation Scoring
Dynamic risk scoring for every interacting wallet based on historical behavior, funding sources, and association with known malicious entities (e.g., OFAC sanctions, mixer usage).
Anomaly & Sybil Detection
Identifies coordinated attack clusters and Sybil wallets using on-chain graph analysis and ML models trained on billions of historical transactions across EVM chains.
Custom Rule Engine & Alerts
Deploy protocol-specific security rules (e.g., max deposit limits, geo-blocking) and receive instant alerts via Slack, Telegram, or webhook for suspicious activity.
Smart Contract Exploit Prevention
Monitors for signature phishing, approval exploits, and logic vulnerabilities in real-time, integrating with wallet providers to block malicious interactions at the RPC level.
Business Outcomes for Your Platform
Our Fraud Detection AI Layer delivers measurable improvements to your platform's security, user trust, and operational efficiency. Here’s what you can expect.
Drastically Reduce Fraudulent Transactions
Real-time analysis of on-chain and off-chain data to flag and block malicious activity before it impacts your users or treasury. We target a >95% reduction in successful fraud attempts for new clients.
Cut Operational & Support Costs
Automate manual review processes and reduce the volume of fraud-related customer support tickets. Our AI handles the first line of defense, freeing your team to focus on growth.
Enhance User Trust & Retention
A secure platform is a sticky platform. Proactive fraud protection directly improves user confidence, leading to higher retention rates and increased lifetime value (LTV).
Maintain Compliance & Audit Readiness
Our system generates immutable, detailed logs of all risk assessments and actions taken. Stay prepared for regulatory inquiries and security audits with a complete forensic trail.
Scale Securely with Zero Downtime
Architected for high throughput. Our detection layer scales horizontally with your platform, maintaining sub-50ms response times even during peak transaction volumes.
Future-Proof Against Evolving Threats
Our models continuously learn from new attack vectors across our network. You benefit from collective intelligence, staying ahead of novel fraud patterns without constant manual updates.
Implementation Tiers & Deliverables
Select the right level of integration and support for your fraud detection needs, from a foundational API to a fully managed, custom AI layer.
| Capability | API Integration | Managed Service | Custom AI Layer |
|---|---|---|---|
Real-time Transaction Monitoring | |||
Pre-built ML Model Library | |||
Custom Model Training & Fine-tuning | |||
On-chain & Off-chain Data Correlation | |||
Dedicated Threat Intelligence Feed | |||
Smart Contract Integration (SDK) | Basic | Advanced | Fully Custom |
Deployment & Infrastructure | Your Cloud | Chainscore Cloud | Hybrid/On-prem |
SLA & Uptime Guarantee | 99.5% | 99.9% | 99.99% |
Incident Response & Support | Community | 24/7 Business Hours | 24/7 Dedicated Engineer |
Implementation Timeline | 1-2 weeks | 4-6 weeks | 8-12 weeks |
Starting Price (Annual) | $25K | $120K | Custom Quote |
Our Integration & Development Process
A streamlined, four-phase approach designed for rapid, secure, and scalable integration of our Fraud Detection AI Layer into your Web3 application.
Discovery & Risk Assessment
We analyze your transaction patterns, user flows, and threat landscape to define a tailored detection strategy. Deliverables include a threat model and a prioritized risk matrix.
API Integration & Sandbox Testing
Seamless integration via RESTful APIs or WebSocket streams. We provide a dedicated sandbox environment with historical attack data for validation before mainnet deployment.
Model Training & Calibration
Our AI models are trained on your specific on-chain and off-chain data to identify anomalous patterns unique to your platform, reducing false positives.
Production Deployment & SLA Activation
Go-live with full monitoring, alerting, and our 99.9% uptime Service Level Agreement. Includes ongoing model retraining and 24/7 technical support.
Smart Contract Development
Secure, production-ready smart contracts built for scale and compliance.
We architect and deploy custom smart contracts that power your core business logic. Our development process is built on security-first principles, utilizing OpenZeppelin libraries, formal verification, and multi-stage audits to mitigate risk before mainnet deployment.
- Token Standards:
ERC-20,ERC-721,ERC-1155, and custom implementations. - Protocol Logic: DEX/AMM pools, staking mechanisms, governance modules, and multi-sig wallets.
- Deployment & Verification: Full suite from
Hardhat/Foundrytesting to mainnet deployment and Etherscan verification.
We deliver battle-tested contracts with 99.9% uptime SLAs, enabling you to launch new features or protocols in weeks, not months.
Fraud Detection AI: Common Questions
Get specific answers on deployment, security, and integration for our AI-powered on-chain fraud detection layer.
Typical integration is 2-4 weeks from kickoff to production. For standard EVM chains (Ethereum, Polygon, Arbitrum), we provide a pre-configured SDK and API. The timeline includes data pipeline setup, model fine-tuning for your specific transaction patterns, and integration testing. Complex multi-chain deployments or custom rule engines may extend this to 6-8 weeks.
Get In Touch
today.
Our experts will offer a free quote and a 30min call to discuss your project.