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In the realm of financial security, staying ahead of money laundering threats is paramount. AML Watcher is your dedicated partner in this mission, and our REST API is your key to unlocking a world of possibilities.

Our API is structured around the principles of REST, providing you with a well-organized, intuitive interface for accessing AML Watcher's capabilities. With resource-oriented URLs and standard HTTP response codes, our API ensures a predictable and reliable experience. JSON serves as the common language for all API responses, including error messages, ensuring consistency and ease of integration.

Through AML Watcher, users can utilize APIs to retrieve reports based on various search criteria, including entity/business name, birth/incorporation date, countries, categories and unique identifier. Notably, the entity/business name is mainly used for fuzzy matching, providing flexibility in searching. If a matching report is found as a result, it will be delivered in JSON format, otherwise an empty array will be returned.

Whether you're a developer, business owner, or financial institution, our RESTful API empowers you to tap into the world of AML Watcher effortlessly, ensuring compliance, security, and enhanced anti-money laundering capabilities. Explore the possibilities and embark on a journey to strengthen your financial ecosystem with the AML Watcher API.

Our core services include:

1. Sanction Screening: Identify individuals and entities on government sanctions lists to ensure compliance with international regulations.

2. Adverse Media Screening: Uncover hidden risks by scanning news articles, reports, and publications for mentions of negative associations.

3. PEP (Politically Exposed Person) Screening: Identify high-risk individuals with ties to politics, ensuring transparency and accountability.

4. Watchlist Monitoring: Keep a vigilant eye on your client base by continuously monitoring them against global watchlists.

5. Corruption Detection: Mitigate the risk of corruption by identifying potential connections to corrupt practices.