What is You.com?
You.com provides search and inference APIs for teams building AI products and production workloads. Its tools cover live web and news search, page extraction, model access through an inference router, and research endpoints that return answers grounded in cited sources. Developers can choose between receiving results for their own synthesis or asking a research engine to plan, gather, and cross-check information. The platform is aimed at businesses integrating web information and model inference into applications and agents.
You.com Features:
Open-Weight Models: Run models including Kimi, Muse, DeepSeek, and GLM through a single production-grade API, with model options for different workloads.
Provider Routing: Send inference requests through one API, with automatic failover that reroutes requests when a provider becomes unavailable.
Web Search API: Retrieve real-time web and news results for AI applications, with options including highlights, knowledge, extraction, and domain filters.
Page Extraction: Submit URLs to receive page content as clean Markdown or HTML, without running a search for pages you already know.
Cited Research: Use an endpoint that turns a question into an answer with citations, or run multi-step research that searches, reads pages, and cross-references sources.
Financial Research: Choose research tuned for financial questions, including earnings summaries, competitive benchmarking, multi-quarter trends, and 10-K analysis.
You.com Benefits:
Lower Inference Costs: Access to multiple open-weight models through one service gives teams another route for reducing inference spend without managing separate provider connections.
Fewer Interruptions: Automatic provider failover can help keep AI applications running when an inference provider becomes unavailable.
Less Integration Work: A single API for model access and an OpenAI-compatible interface can reduce the work of connecting production workloads to inference.
Controlled Data Handling: Zero data retention options and usage and spend controls give teams ways to manage data handling and monitor workload costs.
Quicker Research Synthesis: Cited answers and cross-referenced findings reduce the amount of manual source gathering and synthesis needed for research tasks.
Use Cases:
Grounded AI Answers: Build an application that searches current web information and uses the returned sources to support its answers.
Live Search Prototypes: Add web search to an early-stage agent or prototype through the MCP server before committing to full endpoint access.
RAG Pipelines: Retrieve ranked web and news results for a retrieval-augmented generation pipeline, then let your model handle synthesis.
Market Analysis: Research a company or market using financial-focused summaries, competitive benchmarking, or multi-quarter trend analysis.
Multi-Source Research: Investigate a complex question by having the research engine search repeatedly, read full pages, and compare information across sources.