The problem: AI agents are blind
LLMs have a knowledge cutoff. They can reason, write code, and analyze data — but they can't look things up. When your agent needs current stock prices, today's weather, the latest docs for a library, or just a fact it wasn't trained on, it's stuck.
Search APIs solve this. But existing options are expensive ($50-200/month for serious usage), limited in sources, or require complex setup. Most developers end up scraping Google, which breaks constantly.
What is ContextWire?
ContextWire is a search API built specifically for AI agents. It aggregates results from 105 search engines — Google, Bing, DuckDuckGo, Wikipedia, Wolfram Alpha, StackOverflow, GitHub, arXiv, PubMed, and 96 more — into a single, fast API call.
Key features:
- Free tier — 1,000 queries/month, no credit card
- 105 engines — not just web search, but code, academic, news, maps, science
- 22 search profiles — pre-tuned engine combinations for different tasks
- MCP server — connect to Claude, ChatGPT, or any MCP-compatible agent
- BYOK — bring your own API key to save credits
- 94.3% SimpleQA accuracy — independently benchmarked
- $0 LLM cost — uses Trinity (free via OpenRouter) for answer synthesis
- Add Web Search to Cursor IDE via MCP
5-minute quickstart
Step 1: Get a free API key at contextwire.dev.
Step 2: Make your first search:
curl "https://contextwire.dev/api/ask" \
-H "X-API-Key: YOUR_KEY" \
-H "Content-Type: application/json" \
-d '{"q": "What is the current price of Bitcoin?"}'
That's it. You get back a JSON response with a synthesized answer, sources, and confidence score.
Step 3: For raw search results (no AI synthesis):
curl "https://contextwire.dev/api/search" \
-H "X-API-Key: YOUR_KEY" \
-H "Content-Type: application/json" \
-d '{"q": "rust async tutorial", "profile": "code"}'
MCP server setup
If you use Claude Code, Claude Desktop, or any MCP-compatible tool, you can add ContextWire as a tool in one line:
{
"mcpServers": {
"contextwire": {
"url": "https://contextwire.dev/mcp"
}
}
}
This gives your AI agent 5 tools:
- ask — question → synthesized answer with sources
- search — query → ranked results from 105 engines
- extract — URL → clean text extraction
- research — topic → multi-step research report
- batch_search — multiple queries in one call
- Add Web Search to Cursor IDE via MCP
Full MCP setup guide: contextwire.dev/quickstart
22 search profiles
Instead of configuring which engines to use, pick a profile that matches your task:
| Profile | Best for | Engines |
|---|---|---|
general | General questions | Google, Bing, DDG, Wikipedia |
code | Programming | GitHub, StackOverflow, docs |
academic | Research papers | arXiv, PubMed, Semantic Scholar |
news | Current events | Google News, Bing News, Reddit |
science | Science questions | Wolfram Alpha, Wikipedia, arXiv |
legal | Legal research | Court databases, legal sites |
finance | Markets/stocks | Yahoo Finance, market data |
Full list of all 22 profiles: contextwire.dev/docs
Bring Your Own Key (BYOK)
ContextWire supports BYOK — pass your own OpenRouter, OpenAI, or Anthropic API key in the request header, and answer synthesis uses your model. This costs only 1 credit instead of 2, so your 1,000 free queries effectively become 1,000 queries instead of 500.
curl "https://contextwire.dev/api/ask" \
-H "X-API-Key: YOUR_CONTEXTWIRE_KEY" \
-H "X-LLM-Key: YOUR_OPENROUTER_KEY" \
-d '{"q": "latest React 19 features"}'
94.3% SimpleQA accuracy
We benchmark ContextWire against SimpleQA — OpenAI's factual accuracy benchmark. ContextWire scores 94.3%, meaning 94 out of 100 factual questions get correct answers with proper sources.
This is achieved through:
- Multi-engine aggregation (more sources = more reliable)
- Smart profile routing (each query goes to the most relevant engines)
- Source verification (answers include citations you can check)
- Add Web Search to Cursor IDE via MCP
Pricing
| Plan | Price | Queries/month | Notes |
|---|---|---|---|
| Free | $0 | 1,000 | No credit card. BYOK: 1 credit, no key: 2 credits |
| Pro | $10/mo | 3,500 | Coming soon |
| Business | $30/mo | 15,000 | Coming soon |
Sign up free at contextwire.dev.
vs. Tavily, Perplexity, Brave, SerpAPI
A quick comparison with popular alternatives:
| Feature | ContextWire | Tavily | Perplexity | SerpAPI |
|---|---|---|---|---|
| Free tier | 1,000/mo | 1,000/mo | 5/day | 100/mo |
| Engines | 105 | 1 | ~5 | 1 |
| MCP server | Yes | Yes | No | No |
| BYOK | Yes | No | No | N/A |
| SimpleQA | 94.3% | ~80% | ~85% | N/A |
| Search profiles | 22 | 1 | 1 | N/A |
Detailed comparison: contextwire.dev/compare
Try ContextWire free
1,000 searches/month. 105 engines. MCP server included. No credit card.
Get your free API key →