Automated BIN intelligence platform for e-commerce fraud analysis, enrichment, classification, and real-time reporting
Fraud prevention teams need reliable BIN intelligence to evaluate card risk and 3DS posture, but traditional solutions are fragmented and slow. This platform automates BIN ingestion, enrichment, classification, and reporting with both a dashboard and API, enabling faster fraud decisions and easier integration into existing workflows.
By providing automated BIN intelligence with exploit classification in a single unified system, we eliminate manual data gathering and analysis bottlenecks. Fraud teams can make real-time risk assessments while security analytics teams gain actionable threat insights, reducing fraud losses and improving operational efficiency for e-commerce platforms and payment processors.
Instant BIN lookup and enrichment providing immediate risk assessment for fraud prevention teams
Neutrino API integration for comprehensive BIN data enrichment without manual research
Automated fraud feed scraping and threat classification for proactive security posture
Clean REST API plus operator dashboard enabling seamless integration into existing workflows
Automated BIN lookup and enrichment using Neutrino API with comprehensive card intelligence.
Automated collection of fraud intelligence from multiple sources with real-time threat detection.
Intelligent categorization and classification of exploit types with extensible data model.
Flask-powered web dashboard for BIN analytics, reporting, and operational management.
Clean RESTful API enabling easy integration into fraud prevention and risk management systems.
SQLAlchemy-based persistence with PostgreSQL or SQLite supporting flexible deployment.
Complete implementation in main.py with API endpoints, enrichment logic, and database models demonstrating production maturity.
SQLAlchemy data model with support for new exploit types and flexible enrichment attributes.
Production fraud feed scraping with automated enrichment pipeline in fraud_feed.py and bin_enricher.py.
Complete deployment and API documentation in DEPLOYMENT.md and API.md enabling rapid onboarding.
Fraud prevention and risk teams at e-commerce platforms use BIN intelligence for real-time card risk assessment, reducing chargebacks and protecting revenue.
Payment processors and merchant service providers integrate BIN intelligence to evaluate 3DS posture and provide value-added fraud protection services to merchants.
Security analytics teams leverage BIN-based threat insights for comprehensive fraud pattern analysis and proactive security posture management.
Discover how our BIN intelligence platform can enhance your fraud prevention capabilities and protect revenue with automated enrichment and real-time analysis.