We architect and deploy audited, gas-optimized contracts for tokens (ERC-20, ERC-721), DeFi protocols, DAOs, and enterprise applications. Our process delivers production-ready code in 2-4 weeks, from initial spec to mainnet deployment.
LABS
Services
POS Fraud Detection AI Integration
Deploy machine learning models into your transaction pipeline to identify and block fraudulent crypto payments in real-time, analyzing wallet behavior and transaction patterns.
Chainscore © 2026
overview
CORE SERVICE
Smart Contract Development
Secure, production-ready smart contracts built for scale and compliance.
- Security-First Development: All contracts undergo rigorous internal review and integration with leading audit firms like OpenZeppelin and Quantstamp.
- Gas Optimization: We achieve up to 40% lower transaction costs through advanced patterns and bytecode optimization.
- Full Lifecycle Support: We handle deployment, upgradeability (
TransparentProxy/UUPS), and ongoing maintenance with 99.9% uptime SLAs.
We transform your business logic into immutable, trustless code that executes exactly as intended—no surprises.
key-features-cards
REAL-TIME PROTECTION
How Our AI Fraud Detection Works
Our multi-layered AI system analyzes transaction patterns, user behavior, and on-chain data to identify and block fraudulent activity before it impacts your business. Go beyond simple rule-based systems.
01
Real-Time Transaction Scoring
Every transaction is assigned a risk score in <100ms using ML models trained on billions of data points. High-risk transactions are flagged for review or automatic rejection.
< 100ms
Scoring Latency
99.9%
Model Accuracy
02
Behavioral Anomaly Detection
Continuously monitors user session patterns, device fingerprints, and interaction flows to detect bots, account takeovers, and synthetic identity fraud that bypasses static rules.
95%
ATO Prevention
10+
Behavioral Signals
03
On-Chain Intelligence Layer
Integrates with our proprietary blockchain data engine to cross-reference wallet addresses against known fraud rings, money laundering patterns, and sanctioned entities.
50M+
Wallets Monitored
Real-time
List Updates
04
Adaptive Model Retraining
Our self-learning system automatically retrains fraud detection models weekly using new attack data, ensuring protection evolves faster than fraudsters' tactics.
Weekly
Model Updates
0 Downtime
During Updates
05
Granular Rule Engine & Dashboard
Fine-tune fraud policies, set custom thresholds, and review flagged cases through an intuitive dashboard. Maintain full visibility and control over your risk posture.
< 5 min
Rule Deployment
Full API
Control & Logs
06
SOC 2 Compliant Infrastructure
Deployed on certified, isolated infrastructure. All data is encrypted in transit and at rest. We undergo regular third-party security audits.
SOC 2 Type II
Certified
AES-256
Encryption
benefits
PROVEN RESULTS
Business Outcomes: Secure Transactions, Protected Revenue
Our AI-powered fraud detection for on-chain point-of-sale systems delivers measurable security and financial protection, directly impacting your bottom line.
01
Real-Time Transaction Vetting
AI models analyze wallet history, transaction patterns, and behavioral signals in < 200ms to approve legitimate sales and block fraudulent attempts before settlement.
< 200ms
Decision Latency
99.5%
Approval Accuracy
02
Sybil & Wash Trading Prevention
Detect and block coordinated fraud rings and artificial volume generation designed to exploit merchant rewards, loyalty programs, or promotional offers.
> 95%
Attack Detection Rate
Zero
False Positive SLA
03
Chargeback & Dispute Reduction
Immutable on-chain proof of delivery and AI-validated transaction intent slashes fraudulent chargeback rates, protecting revenue and reducing operational overhead.
Up to 90%
Chargeback Reduction
100%
Proof of Transaction
04
Compliance & Regulatory Alignment
Auditable fraud detection logic and transaction trails ensure adherence to financial regulations (like Travel Rule) and simplify reporting for VASPs and licensed merchants.
Fully Auditable
Decision Logs
KYC/AML
Framework Integration
The Infrastructure Decision for CTOs
Build vs. Buy: In-House AI vs. Chainscore Integration
A direct comparison of the total cost, risk, and time investment required to develop and maintain a proprietary PoS fraud detection system versus integrating our production-ready API.
| Key Factor | Build In-House AI | Chainscore Integration |
|---|---|---|
Time to Production | 6-12+ months | 2-4 weeks |
Initial Development Cost | $250K - $750K+ | $15K - $50K setup |
Annual Maintenance Cost | $150K+ (2-3 engineers) | From $60K (SLA included) |
Model Accuracy & Tuning | Requires ML team & labeled data | Pre-trained, continuously updated models |
Security & Audit Overhead | High (unaudited custom logic) | Low (audited, battle-tested system) |
Real-time Threat Coverage | Limited to internal data | Global threat intelligence from 50+ chains |
Infrastructure Scaling | Your responsibility (DevOps cost) | Fully managed, auto-scaling API |
SLA & Uptime Guarantee | None (internal team dependent) | 99.9% uptime with 24/7 monitoring |
Integration Complexity | High (MLOps, data pipelines, APIs) | Low (single REST/WebSocket API) |
Total Cost of Ownership (Year 1) | $400K - $900K+ | $75K - $110K |
how-we-deliver
PROVEN METHODOLOGY
Our Integration & Deployment Process
A streamlined, four-phase approach to integrate our AI-powered fraud detection directly into your payment flow. We handle the technical complexity so you can focus on your business.
01
1. Architecture & Risk Assessment
We analyze your transaction data, payment stack, and risk tolerance to design a tailored integration. This includes defining scoring thresholds, whitelist/blacklist logic, and fallback procedures.
1-3 days
Assessment Time
Custom
Risk Model
02
2. Secure API Integration
Deploy our low-latency REST API or webhook endpoints. We provide SDKs for major languages and ensure seamless connection to your existing payment gateway, POS terminal, or e-commerce platform.
< 100ms
API Latency
99.9% SLA
Uptime
03
3. Staged Deployment & Monitoring
We deploy in shadow mode to analyze predictions without blocking transactions, followed by a controlled rollout. Real-time dashboards provide immediate visibility into fraud rates and model performance.
2-4 weeks
Typical Rollout
Live Dashboards
Monitoring
04
4. Ongoing Optimization & Support
Our models continuously learn from new fraud patterns. We provide regular performance reports, model retraining, and 24/7 technical support to adapt to evolving threats.
24/7
Support
Bi-weekly
Model Updates
Integration & Implementation
POS Fraud Detection AI: Frequently Asked Questions
Get clear answers on how Chainscore's AI-powered fraud detection integrates with your existing payment stack, deployment timelines, and ongoing support.
We provide a secure, low-latency API that connects directly to your payment processor (Stripe, Adyen, Braintree, etc.) or transaction database. The integration typically involves:
- API-first approach: Add our risk-scoring endpoint to your authorization flow.
- Webhook notifications: Receive real-time alerts for flagged transactions.
- Dashboard access: Review decisions, adjust rules, and monitor performance.
Our engineers handle the full integration, ensuring minimal disruption to your live systems. We've completed 30+ integrations with major gateways.
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