📊 Detect anomalies in financial transactions with Finomaly, a modular, open-source Python library supporting both rule-based and machine learning methods.
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Updated
Oct 7, 2026 - Python
📊 Detect anomalies in financial transactions with Finomaly, a modular, open-source Python library supporting both rule-based and machine learning methods.
Hawkeye Sterling: UAE DPMS AML/CFT entity risk assessment, with an AI compliance advisor and operations console.
A curated list of tools, datasets and resources for financial crime compliance, AML, fraud, sanctions, KYC and surveillance.
Tornado Cash forensics for investigators: evidence-banded exit leads, exit groups, operator clusters and multi-hop fund tracing after withdrawal on 8 EVM chains, with a placebo check that shows what chance alone produces.
Multi-chain crypto wallet risk scanner for AML/KYT screening. Scores addresses 0–100 using sanctions, risky contracts and fund tracing. Integrates 6 intelligence providers with failover, detects scams, hacks, mixers and phishing, supports 15+ chains, batch screening and TXT/JSON/CSV/HTML/PDF reports. Python, cross-platform.
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Documentation for the LimitGuard API: KYB, sanctions and PEP screening and entity trust checks for AI agents, via x402 pay-per-call, API keys or MCP.
SNA + GNN crypto fraud money-flow detection platform | 鏈鏡:社會網路分析×圖神經網路的虛擬資產詐騙金流偵測 (FinTech Taipei Awards 2026)
Checks your customers' names against government sanctions lists inside your browser, for small compliance teams.
AML suspicious transaction monitoring dashboard with PostgreSQL, Isolation Forest and Streamlit / PostgreSQL × Isolation Forest × Streamlit による不審取引(AML)検知ダッシュボード
Develop a coding agent that improves task automation by integrating directly with language models for efficient programming workflows.
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Graph-Based Anti-Money Laundering & Fraud Network Detection | Python, PyTorch, NetworkX, scikit-learn, PyVis
Real-time, direct-from-official-registry company data via MCP. 80+ national registries; unmodified raw fields and raw filing bytes. Tools: search, profile, officers, shareholders, charges, filings, financial documents.
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