Compare Exa vs. Qloo

The Exa API provides access to premier online content through an embeddings-focused search methodology. By comprehending the underlying meaning of queries, Exa delivers results that surpass traditional search engines. Employing an innovative link prediction transformer, Exa effectively forecasts connections that correspond with a user's specified intent. For search requests necessitating deeper semantic comprehension, utilize our state-of-the-art web embeddings model tailored to our proprietary index, while for more straightforward inquiries, we offer a traditional keyword-based search alternative. Eliminate the need to master web scraping or HTML parsing; instead, obtain the complete, clean text of any indexed page or receive intelligently curated highlights ranked by relevance to your query. Users can personalize their search experience by selecting date ranges, specifying domain preferences, choosing a particular data vertical, or retrieving up to 10 million results, ensuring they find exactly what they need. This flexibility allows for a more tailored approach to information retrieval, making it a powerful tool for diverse research needs.

Qloo, the "Cultural AI", is capable of decoding and forecasting consumer tastes around the world. Privacy-first API that predicts global consumer preferences, catalogs hundreds of million of cultural entities, and is privacy-first. Our API provides contextualized personalization and insight based on deep understanding of consumer behavior. We have access to more than 575,000,000 people, places, and things. Our technology allows you to see beyond trends and discover the connections that underlie people's tastes in their world. Our vast library includes entities such as brands, music, film and fashion. We also have information about notable people. Results are delivered in milliseconds. They can be weighted with factors like regionalization and real time popularity. Companies who want to use best-in-class data to enhance their customer experiences. Our flagship recommendation API provides results based on demographics and preferences, cultural entities, metadata, geolocational factors, and metadata.