Tutorial
How to Add Real-Time Search to Your AI Agent
A practical guide to integrating search capabilities into your AI agent in under 10 minutes.
Published September 15, 2026 · 6 min read
AI agents are more powerful when they can access real-time information. This guide shows you how to add search capabilities using AnySearch API.
Prerequisites
- Python 3.8+ or JavaScript/TypeScript
- An AnySearch API key (free to get)
- An existing AI agent or LLM application
Step 1: Get Your API Key
Sign up at agentsearch.tech and get your free API key. Free tier includes 100 searches per day.
Step 2: Install the SDK
# Python
pip install anysearch
# JavaScript
npm install anysearch
Step 3: Add Search to Your Agent
from anysearch import AnySearch
client = AnySearch(api_key="your-api-key")
def agent_search(query):
results = client.search(query)
return results.markdown # Clean, AI-ready output
Step 4: Use in Your Agent
Pass the search results to your LLM along with the user's query. The structured markdown output reduces token usage significantly.
Why AnySearch for AI Agents?
- 60%+ token reduction with structured markdown output
- MCP support for seamless AI workflow integration
- AI intent routing automatically selects the best data sources
- Quality scoring filters out unreliable sources