This API uses AI, Machine Learning, specialized algorithms, and extesnive knowledge bases to generate a similarity key. These keys, when sorted or matched, enable similar individual names to be clustered together for the purposes of identifying inconsistent company/organization name data, improving Analytics, Business Intelligence, business processes, Data Science, Artificial Intelligence, Machine Learning, ETL/ELT data pipelines, CRM, Marketing, and other data-driven initiatives that depend on high quality, consistent, and accurate data to be effective and successful.

This REST-based API takes an individual query string and returns the results in JSON for easy, standardized integration into Web sites, applications, and business processes. In addition, using your assigned universal API key (how AWS Marketplace usage is tracked), a Web application is available enabling the generation of on-the-fly match reports to targeted data sources, such as AWS RDS, Snowflake, Azure SQL, MySQL, Postgres, CSV files, and others - no coding necessary.

There are SDKs available for Go, Python, Node.js, and Java.

In addition, matching reports from an entire targeted data source can be performed from the command line in single call, generating entire individual name match reports that showcase data challenges such as name inconsistency, data anomalies, and duplicate data. These are challenges that can also be resolved within the offering. No installation of software is required, as everything runs 100% in the Cloud.