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ContextWire
ContextWire is an API search engine that provides multi-source research, page extraction, and fact verification for AI applications.
ContextWire is a research and context API built for AI developers who need accurate answers backed by real sources. It unifies Google, Bing, Wikipedia, CrossRef, and over 100 other engines into a single endpoint with automatic retry and result deduplication. The platform features deep page reading, academic search integrations like arXiv and PubMed, and direct Fandom wiki access. It stands out by allowing developers to bring their own OpenRouter key for zero LLM inference cost. Users can also access the system via an MCP server inside tools like Claude Code and Cursor.
ContextWire at a glance
- Best for: Software engineer
- Runs on: Web, API
- Pricing: Free plan 1,000 queries/month; Pro $29/month; Team $99/month
- Released: March 2026
- Category: AI search engine
- Website: contextwire.dev
Key features
- Multi-engine search across 105 sources
- Deep page reading with table support
- LLM answer extraction via OpenRouter
- Academic search via CrossRef and PubMed
- Direct Fandom and wiki.gg API access
- Wikipedia deep parse and Wikidata resolution
- MCP server for Claude Code and Cursor
- Batch search and deep research modes
Use it for
- Answering factual questions with sourced answers
- Verifying claims with true or false verdicts
- Generating comprehensive research reports
- Searching academic papers and citations
- Gathering structured data from game wikis
Alternatives to ContextWire
- ContextMCP — Maintains fresh, accurate context for AI agents using AST-aware chunking.
- Context Engine — Connects AI tools and teams to one shared memory.
- ContextQA — Auto-generate tests, heal broken selectors, and catch hallucinations instantly.
- Context7 — Provides up-to-date documentation for AI agents and code editors.
- ContextStream — It maintains project context and history to reduce agent errors.
- Context Mode — Saves up to 98 percent of context per session by keeping raw data out of the LLM.
- Scrape Anything by Context.dev — Extracts clean Markdown, HTML, and structured data with built-in proxies and JS rendering.
- Claude Context — It reduces token costs and provides deep context for large codebases.
- Billion Context — Compresses conversation history to run single AI coding sessions for days.
- CodeGraphContext — Turns codebases into interactive knowledge graphs for AI assistants.
- Exa — Provides high-accuracy web search and deep research endpoints for AI agents.
- Context Engineering Kit — Improves agent reliability and code generation quality with minimal token footprint.
All ContextWire alternatives