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Sonar API
Power your products with the fastest, cheapest grounded search APIs out there.

What is Sonar API?

Sonar API, developed by Perplexity AI, provides developers with access to a cutting-edge AI answer engine. It enables the integration of sophisticated search and reasoning functionalities into various applications. The platform is designed to deliver fast, accurate, and contextually relevant answers by grounding responses in real-time web data, ensuring the information provided through the API is up-to-date and reliable.

The API suite includes several models and capabilities like Sonar (lightweight search), Sonar Pro (premier search), Reasoning models, Deep Research for comprehensive reports, and R1 1776 (uncensored model), catering to different needs from simple queries to in-depth analysis. Sonar emphasizes affordability and speed, offering competitive pricing for its grounded search and reasoning capabilities. User data privacy is prioritized, with a commitment not to train LLMs on customer data, ensuring security and confidentiality.

Features

  • Real-time Grounded Search: Delivers answers based on current web information.
  • Advanced Reasoning Capabilities: Powered by models like DeepSeek R1 for complex analysis.
  • Deep Research Reports: Generates comprehensive, synthesized reports on complex topics.
  • Multiple API Offerings: Includes Sonar, Sonar Pro, Reasoning, Reasoning Pro, and Deep Research.
  • R1 1776 Model Access: Provides access to an uncensored, unbiased version of the DeepSeek R1 model.
  • Competitive Pricing: Positioned as an affordable solution in the market.
  • Data Privacy Assurance: Commits to not training LLMs on user data.
  • Developer Playground: Allows testing and experimenting with the API.

Use Cases

  • Integrating advanced Q&A capabilities into applications.
  • Building research tools requiring real-time information.
  • Powering chatbots with grounded and accurate responses.
  • Enhancing internal knowledge bases with search and summarization.
  • Developing market analysis tools using reasoning and research features.
  • Creating content generation tools needing factual grounding.

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