OpenClaw Free Web Search Tools Comparison

OpenClaw agents need a web search backend to retrieve current information. The three viable options are Tavily ($200/month for 20K calls), Serper (free 2,500/month, $50/month for 50K), and a generic search API like Scavio (free 250/month, $30/month for 7K). Each returns different result formats, and the choice affects both agent accuracy and cost.

OpenClaw Search Architecture

OpenClaw agents use function calling to invoke tools. A web search tool accepts a query string and returns results that the agent incorporates into its reasoning. The tool wrapper is the same pattern regardless of backend: define a function, call the API, return formatted results.

Connecting a Search API

import requests, os

API_KEY = os.environ["SCAVIO_API_KEY"]

def search_tool(query: str, platform: str = "google") -> str:
    """Web search tool for OpenClaw agents."""
    resp = requests.post("https://api.scavio.dev/api/v1/search",
        headers={"x-api-key": API_KEY},
        json={"platform": platform, "query": query})
    results = resp.json().get("organic", [])[:5]
    return "\n".join(
        f"[{r.get('position', i+1)}] {r['title']}\n"
        f"    {r.get('snippet', '')}\n"
        f"    URL: {r.get('link', '')}"
        for i, r in enumerate(results)
    )

# Register as an OpenClaw tool:
# agent.add_tool("web_search", search_tool,
#     description="Search the web for current information")
print(search_tool("OpenClaw agent framework documentation 2026"))

Tavily vs Serper vs Scavio

Tavily returns AI-summarized results optimized for LLM consumption. This reduces tokens but loses source fidelity. Serper returns raw Google SERP data with high accuracy. Scavio returns multi-platform SERP data (Google, YouTube, Reddit, Amazon, Walmart) which lets the agent search different platforms for different question types.

For agents that primarily need Google web search, Serper's free tier (2,500/month) is the most generous. For agents that need multi-platform search or AI Overview data, Scavio is the only option under $200/month that includes those features.

Token Optimization for OpenClaw

OpenClaw agents pass tool results through their context window. Returning 10 full results consumes 2,000-3,000 tokens per search. Returning 3 results with truncated snippets (120 chars) brings this to 400-600 tokens. For cost-sensitive deployments, the truncation wrapper shown above saves more on LLM costs than on search API costs.

When Tavily Wins

Tavily has official LangChain and CrewAI integrations, meaning zero-config setup in those frameworks. If your OpenClaw agent is built on LangChain primitives, Tavily is a one-line import. The $200/month cost makes sense for teams running agents at scale (1,000+ searches/day) where the AI-summarized results meaningfully reduce downstream LLM token costs.