You.com provides a suite of advanced APIs engineered to integrate real-time web intelligence and agentic research capabilities into AI systems, LLMs, and enterprise applications. By bridging the gap between static model knowledge and live, verified data, these APIs allow developers to build more accurate, grounded, and context-aware agents. The platform is designed to handle complex information retrieval tasks, multi-step reasoning, and content extraction, effectively serving as the real-time data layer for next-generation AI agents.

The suite consists of four specialized APIs: the Search API, which provides lightning-fast, structured web and news results; the Contents API, which allows for on-demand extraction of clean HTML or Markdown content from specific URLs; the Research API, an agentic system that performs multi-step reasoning to synthesize grounded answers with inline citations; and the Finance Research API, which delivers domain-specific intelligence by searching a purpose-built index of filings, market data, and macroeconomic indicators. These services are accessible through a Python SDK, REST endpoints, and a Model Context Protocol (MCP) server, making integration into various agentic workflows seamless.

Some of the key features are:

• Search API: Delivers real-time web and news results with LLM-optimized snippets, metadata, and optional live crawling of full-page content.
• Research API: Orchestrates agentic, multi-step search strategies to synthesize complex information into Markdown-formatted answers with verifiable inline citations.
• Contents API: Provides on-demand, clean parsing of any webpage into ready-to-use Markdown or HTML, stripping away boilerplate noise for better LLM context.
• Finance Research API: Offers high-accuracy financial intelligence by searching a curated index of company fundamentals, SEC filings, and market data, matching the quality of human financial research.
• Agentic Infrastructure: Features built-in source reconciliation, citation mapping, and tiered effort levels to balance latency, accuracy, and computational costs.
• Developer Experience: Includes extensive documentation, SDKs for Python and TypeScript, and an MCP server to connect these tools instantly to IDEs like Cursor, Windsurf, and Claude Code.
• Enterprise Reliability: Adheres to high security standards with SOC2 certification, optional zero data retention policies, and robust support for high-volume, concurrent queries.

Usage involves integrating these APIs into an existing backend or agent framework. For standard retrieval tasks, developers can use the Search API to gather initial context or the Contents API to ingest known documentation. For complex queries, the Research API acts as a reasoning engine, autonomously iterating through search sub-steps and source synthesis to produce a final, well-cited response. The platform's MCP implementation allows developers to add these capabilities to their local development environment without custom infrastructure, enabling agents to browse the live web and perform financial analysis as if they were browsing manually.

Some common use cases include:

• Retrieval-Augmented Generation (RAG): Providing LLMs with fresh, cited context to prevent hallucinations in chatbots or knowledge assistants.
• Automated Financial Analysis: Researching and summarizing quarterly earnings reports, benchmarking competitors, or analyzing macroeconomic trends with verifiable data.
• Competitive Intelligence: Monitoring competitor pricing, news, and feature updates on a schedule without needing to write custom scrapers.
• Knowledge Base Construction: Automatically ingesting documentation, whitepapers, and technical reports into clean Markdown for indexing in vector databases.
• Agentic Research Assistants: Giving AI agents in IDEs the ability to search for documentation, troubleshoot code issues, or perform due diligence during software development.