AI-Ready

SERP API Built for AI Agents & LLMs

Ground your AI with real-time web data. Optimized for LLMs with TOON format, sub-second latency, and streaming support.

60% Fewer Tokens with TOON Format

Traditional JSON wastes tokens on quotes, brackets, and verbose keys. TOON delivers the same information in a fraction of the tokens.

JSON: 847 tokens
TOON: 312 tokens
query: best laptops 2025
intent: commercial
results[3]{title,url,score}:
 MacBook Pro Review,apple.com,0.98
 Dell XPS Guide,dell.com,0.95
 ThinkPad X1,lenovo.com,0.91

Built for AI Developers

TOON Format

Token-Optimized Object Notation reduces token usage by 60%+ compared to JSON, saving costs on GPT-4, Claude, and Gemini calls.

Sub-second Latency

Real-time responses that won't slow down your AI agent. 10x faster than SerpApi for conversational interfaces.

MCP Protocol Support

Official Model Context Protocol integration. Connect Searlo to Claude, Cursor, Windsurf, or any MCP-compatible AI assistant. See our dedicated MCP Server page for setup guides.

Streaming + Intent Detection

Stream results as they arrive. Built-in query intent classification helps your AI understand user needs better.

Works With Your Stack

Easy integration with popular AI frameworks and tools.

LangChain

Use as a tool in your LangChain agents

from langchain.tools import SearloSearch

tool = SearloSearch(api_key="...")
agent = Agent(tools=[tool])

OpenAI Functions

Perfect for function calling with GPT-4

functions = [{
  "name": "web_search",
  "description": "Search the web",
  "parameters": {...}
}]

RAG Pipeline

Augment retrieval with fresh web data

# Combine with your vector DB
web_results = searlo.search(query)
context = vectordb.query(query)
response = llm.generate(context + web_results)

Use Cases

AI Assistants & Chatbots

Give your AI assistant access to real-time information. Answer questions about current events, prices, and more.

RAG Applications

Augment your retrieval pipeline with fresh web data. Combine vector search with real-time SERP results.

Research Agents

Build autonomous research agents that can explore topics across the web and synthesize findings.

Content Generation

Generate content grounded in real facts. Verify claims, find sources, and add citations.

FAQ

What is TOON format?

TOON (Token-Optimized Object Notation) is our proprietary format designed for LLMs. It reduces token count by 60%+ compared to JSON while preserving all information. This means lower costs and faster processing for your AI applications.

How do I integrate with LangChain?

We provide a LangChain-compatible tool that you can add to your agents. Simply pip install our SDK and use the SearloSearch tool. Full documentation and examples are available in our docs.

Is streaming supported?

Yes! Use the stream=true parameter to receive results as they're processed. This is ideal for real-time chat interfaces where you want to show progress.

How fresh is the data?

Our results are real-time - you get what users would see if they searched Google right now. No caching, no stale data. Perfect for AI that needs current information.

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