Dataprovider offers an information retrieval system that makes the web into a structured database, indexing more than 700 million domains. It includes four years of historical data and proprietary scores like economic footprint and trust grade, so it's good for a variety of use cases like investment management, analytics and brand protection. With prefiltered datasets, monthly updates and customizable dashboards, Dataprovider is a good option for structured web data insights.
Webz.io is another good option that makes the web into machine-readable data. It offers a Grab-and-Go API and Ready-to-Consume Repositories, offering data in formats like JSON and XML. Webz.io covers a broad range of data types including news, reviews, blogs and dark web monitoring, and can be used for media monitoring, cyber security threat detection and financial analysis. This is a good option for companies that need to consume a lot of structured data.
Vespa offers a unified search engine and vector database that supports vector search, lexical search and search in structured data. It marries fast vector search with machine-learned models, letting developers build search applications that scale. Vespa is good for search, recommendation and personalization, and supports a range of machine learning tools. This is a good option for combining different data types into a single query, with high end-to-end performance and low latency.