Description
ContextWire is an AI-powered research and context API designed for developers seeking accurate and comprehensive information retrieval. It integrates 105 search engines across 22 specialized profiles, including web, news, academic, code, and social media, to provide a unified search experience. The API achieves a 94.3% accuracy on the SimpleQA benchmark, ensuring reliable fact verification and synthesis of AI answers.
The platform supports multi-source research, allowing developers to extract and analyze content from various web pages, academic papers, and media wikis. It offers direct API access to resources like Google, Bing, Wikipedia, CrossRef, arXiv, Semantic Scholar, PubMed, and OpenAlex, enabling structured data retrieval for diverse use cases.
ContextWire's pricing model includes a free tier offering 1,000 queries per month, with options to scale up to 3,500 queries for USD 10 and 15,000 queries for USD 30. The API features batch search capabilities, deep research reports, and MCP server integration for seamless use with AI coding environments like Claude Code and Cursor.
Developers can leverage ContextWire's Node.js SDK with TypeScript support to integrate its functionalities into their applications. The platform emphasizes zero LLM cost, allowing users to bring their own OpenRouter key for maximum value. With its comprehensive research capabilities, ContextWire is ideal for AI apps that require precise and verified information.
ContextWire's Core Features
94.3% SimpleQA accuracy
105 search engines
22 specialized profiles
Multi-source search
Page extraction
Fact verification
Batch search
Node.js SDK with TypeScript
How to use ContextWire?
Configure: Set up API key and profiles
Use: Execute search and extraction queries
Integrate: Connect with MCP server
Optimize: Utilize batch search for efficiency
ContextWire's Use Cases
- AI app development
- Academic research
- Fact verification
- Web content extraction
- Multi-source intelligence