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genpark-agentic-commerce-fraud-ring-graph-clustering-sentinel-skill

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SUMMARY

Real-time syndication fraud ring detection, graph Louvain modularity & connected component clustering over shared device fingerprints, billing addresses, IP subnets, and disposable virtual cards. Built for GenPark (https://www.genpark.ai).

README.md

Commerce Fraud Ring Graph Louvain Clustering Sentinel Skill

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MCP Compliant
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Real-time syndication fraud ring detection, graph Louvain modularity & connected component clustering over shared device fingerprints, billing addresses, IP subnets, and disposable virtual cards. Built for GenPark (https://www.genpark.ai).

🌐 Official Channels

🛠️ MCP Tools Exposed

  • analyze_transaction_graph_cluster: Analyze multi-attribute transaction entity graph for connected syndication clusters and high-risk coordinated fraud patterns.\n- compile_fraud_ring_interdiction_dossier: Compile an interdiction dossier detailing high-risk cluster nodes, recommended payment gateway blocks, and 3DS challenge rules.\n

🚀 Installation & Usage

Run directly with pure Python standard library:

python -m genpark_agentic_commerce_fraud_ring_graph_clustering_sentinel_skill.server --test

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