New web search API with proper context awareness (search-router.com)

A new web search API has been launched, offering AI developers a powerful tool for real-time web retrieval with a focus on context awareness. This API allows users to make a single call to obtain structured JSON results with sub-second response times. It features a unique capability called "Retrieved Context for LLM," which extracts the shortest relevant excerpts from web pages, thus minimizing token usage while maximizing informational signal—a critical aspect for retrieval-augmented generation (RAG) workflows and AI agents. Users can start free with 2,000 requests, and credits are automatically refilled, making it accessible without initial financial commitment. The significance of this API lies in its potential to streamline and enhance AI product development by providing outstanding relevance in search results across multiple languages. This capability can significantly improve output quality for AI models, facilitating more efficient and effective information processing. The native support for Model Context Protocol (MCP) enables easy integration with popular AI models like Claude and ChatGPT, further enhancing its utility. Overall, this tool aims to optimize AI workflows by delivering real-time, contextually relevant data, enabling developers to create more sophisticated AI applications.