We architect and implement bespoke blockchain solutions from the ground up. Our team delivers production-ready mainnets, sidechains, and layer-2 networks with custom consensus (PoA, PoS), tokenomics, and governance models.
LABS
Services
Fraud Detection AI Model Integration
Integrate custom or third-party AI/ML models into your payment processing pipeline to identify and block fraudulent transactions in real-time using on-chain and off-chain data.
Chainscore © 2026
overview
FULL-STACK INFRASTRUCTURE
Custom Blockchain Development
Build, deploy, and scale custom blockchain networks and applications tailored to your business logic.
Deploy a secure, high-performance blockchain in weeks, not months, with a clear path to decentralization.
- Core Protocol Development: Custom
EVM-compatible chains,Substrate/Polkadotparachains, andCosmos SDKzones. - Smart Contract Suite: Native token standards (
ERC-20,ERC-721), staking, governance, and treasury modules. - Node Infrastructure: Validator setup, RPC endpoints, block explorers, and cross-chain bridges with 99.9% uptime SLAs.
- Security & Audit: Formal verification, economic modeling, and third-party audits by
OpenZeppelinandCertiK.
key-features-cards
SEAMLESS DEPLOYMENT
Core Integration Capabilities
Our fraud detection AI integrates directly into your existing blockchain stack, providing real-time threat analysis without disrupting user experience or development velocity.
01
Real-Time Transaction Monitoring
Analyze every on-chain transaction in under 100ms using our proprietary AI models. Integrates with your RPC nodes via WebSocket for instant anomaly detection and risk scoring.
< 100ms
Analysis Latency
24/7
Monitoring
02
Multi-Chain & Protocol Support
Deploy a single detection model across EVM chains (Ethereum, Polygon, Arbitrum), Solana, and other L2s. Our system normalizes transaction data for consistent fraud scoring across ecosystems.
10+
Networks Supported
Unified API
Single Integration
03
Smart Contract Behavior Analysis
Go beyond address screening. Our AI models analyze contract interaction patterns, function calls, and state changes to detect sophisticated smart contract exploits and malicious dApp logic.
ERC-20/721/1155
Standards Covered
Behavioral
Pattern Detection
04
Custom Rule Engine & Alerting
Extend our core AI with your own business logic. Create custom risk rules, set threshold-based alerts, and automate responses (e.g., pause withdrawals) via our developer dashboard or API.
API & Dashboard
Dual Control
Webhook/Email
Alert Channels
05
Compliance-Ready Data Logging
All risk assessments, flagged transactions, and model decisions are immutably logged with timestamps and evidence trails. Export full audit reports for regulatory compliance (e.g., Travel Rule).
Immutable
Audit Trail
GDPR Ready
Data Handling
06
Enterprise-Grade Security & Uptime
Deployed in a SOC 2 compliant environment with end-to-end encryption. We guarantee 99.9% service availability with automated failover, backed by a formal SLA for enterprise clients.
99.9%
Uptime SLA
SOC 2
Compliance
benefits
TANGIBLE RESULTS
Business Outcomes & Value
Our AI-powered fraud detection delivers measurable improvements in security, compliance, and operational efficiency for your Web3 platform.
01
Real-Time Transaction Protection
Integrate AI models that screen transactions in <100ms, blocking fraudulent activity before on-chain settlement. Reduces false positives by 40% compared to rule-based systems.
< 100ms
Screening Latency
40%
Fewer False Positives
02
Compliance & AML Automation
Automate wallet screening and transaction monitoring for KYC/AML compliance. Our models are trained on sanctioned addresses and known threat patterns, ensuring regulatory readiness.
99.5%
Address Match Accuracy
24/7
Monitoring
03
Sybil Attack & Airdrop Defense
Identify and mitigate Sybil attacks, wallet farming, and airdrop manipulation with behavioral clustering algorithms. Protect token distribution and governance integrity.
95%+
Sybil Detection Rate
Real-time
Cluster Analysis
04
Smart Contract Exploit Prediction
Proactively detect anomalous contract interactions and liquidity patterns indicative of flash loan attacks, rug pulls, and oracle manipulation.
< 2 sec
Anomaly Alert
Multi-chain
Coverage
05
Reduced Operational Overhead
Automate manual review processes and threat investigations. Our API-driven integration reduces the need for dedicated fraud analysis teams, cutting operational costs.
70%
Manual Review Reduction
API-first
Integration
06
Custom Model Training & Fine-Tuning
We don't just deploy off-the-shelf models. We fine-tune detection algorithms on your specific transaction data and threat landscape for maximum accuracy.
Proprietary
Data Training
Continuous
Model Updates
Fraud Detection AI Model Integration
Build vs. Buy vs. Integrate with Chainscore
A clear comparison of the effort, risk, and cost for implementing blockchain fraud detection, helping technical leaders make an informed infrastructure decision.
| Key Factor | Build In-House | Buy Generic API | Integrate with Chainscore |
|---|---|---|---|
Time to Initial Deployment | 6-12 months | 2-4 weeks | 2-4 weeks |
Model Accuracy & Customization | Full control, but requires ML expertise | Generic, one-size-fits-all | Custom-trained on your transaction data |
On-Chain & Off-Chain Data Integration | High complexity to build | Off-chain only | Native integration of on-chain events & off-chain signals |
Smart Contract & Wallet Risk Scoring | You must develop the scoring logic | Limited or not supported | Real-time scoring for contracts, tokens, and wallets |
Ongoing Model Maintenance & Updates | Dedicated data science team required | Vendor manages updates | Continuous retraining & threat intelligence updates included |
Security & Audit Overhead | High (unaudited custom code) | Medium (shared vendor risk) | Low (audited core, SOC 2 compliant) |
First-Year Total Cost | $250K - $600K+ | $50K - $120K | $75K - $180K |
Support & Incident Response | Your team's responsibility | Standard SLAs (8-24h) | Priority SLAs (1-4h) & dedicated engineer |
how-we-deliver
PREDICTABLE, PROVEN, AND SECURE
Our Integration Process
A streamlined, four-phase methodology designed for technical leaders. We deliver a production-ready fraud detection system, not just an API key, with clear ownership and guaranteed SLAs.
01
Phase 1: Architecture & Threat Modeling
We conduct a deep-dive analysis of your transaction flows and user journey to identify specific fraud vectors. This phase delivers a custom risk model blueprint and integration architecture, ensuring our AI aligns with your unique business logic and compliance requirements.
1-2 weeks
Delivery Time
100%
Custom Model Fit
02
Phase 2: Secure API Integration
Our engineers integrate our low-latency REST/WebSocket APIs directly into your backend. We handle the complex logic for real-time scoring, on-chain data enrichment, and secure key management, providing you with a simple, robust interface.
< 100ms
P99 Latency
99.95%
API Uptime SLA
03
Phase 3: Staging & Load Testing
Before go-live, we deploy the integrated system in a staging environment identical to your production setup. We perform load testing at 10x your expected volume and validate model accuracy against historical fraud patterns to guarantee performance under peak load.
10x Scale
Load Test
> 95%
Accuracy Validated
04
Phase 4: Production Deployment & Monitoring
We manage the cutover to production with zero downtime. You gain access to our real-time monitoring dashboard for fraud metrics, model performance, and alerting. Our team provides 24/7 support with a 15-minute response SLA for critical issues.
Zero Downtime
Deployment
15 min
Critical Response SLA
security-compliance
FOUNDATION
Blockchain Infrastructure
Reliable, scalable node infrastructure for high-throughput Web3 applications.
We manage the complex backend so you can focus on your product. Our infrastructure provides 99.9% uptime SLAs, multi-region redundancy, and real-time monitoring for EVM, Solana, and Cosmos chains.
- Dedicated RPC/API Endpoints: Private, load-balanced nodes with no rate limits.
- Indexing & Data Feeds: Custom real-time event streams and subgraphs.
- Validator Services: Secure staking and governance participation for
PoSnetworks.
Deploy production-ready infrastructure in days, not months, with enterprise-grade security and 24/7 support.
Technical & Commercial Details
Fraud Detection AI Integration FAQ
Get clear answers on timelines, costs, and technical specifics for integrating our AI-powered fraud detection into your Web3 application.
Standard integration takes 2-4 weeks from kickoff to production deployment. This includes data pipeline setup, model fine-tuning on your transaction history, API integration, and a 1-week pilot phase. Complex multi-chain deployments or custom rule engines may extend to 6-8 weeks.
ENQUIRY
Get In Touch
today.
Our experts will offer a free quote and a 30min call to discuss your project.
NDA Protected
Confidentiality24h Response
Time to ValueDirectly to Engineering Team
No Sales Fluff10+
Protocols Shipped
$20M+
TVL Overall