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This article measures and compares the token efficiency of four web search APIs—Brave Search, Tavily, Exa, and Firecrawl—for AI agent contexts, concluding that Firecrawl is the most efficient for reducing context window bloat.
This article compares web search APIs for AI agents, evaluating options like Serper, Brave, Exa, Firecrawl, and Tavily based on their suitability for tasks such as SEO tracking, semantic discovery, and full-content extraction.
Comparison of AI search APIs SERPdive and Tavily, showing SERPdive wins ~60% of comparisons with 20% fewer tokens and similar latency.