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Google Search API for AI Agents: Live Web Access (2026)

Give your AI agent Google Search API access as a tool call with LangChain or the OpenAI SDK — $0.0006/search, code included.

1 min read

LLMs are frozen at their training cutoff and hallucinate recent facts. Giving an agent a Google search tool fixes both — and a cheap, synchronous SERP API like serp.cheap is the ideal backend because latency is predictable and per-call cost is low enough to run at agent scale.

The search tool (plain function)

import requests

def google_search(query: str, country: str = "us") -> str:
    """Search Google and return the top results as text."""
    data = requests.post(
        "https://api.serp.cheap/v1/search",
        headers={"X-API-Key": "YOUR_KEY"},
        json={"q": query, "gl": country},
        timeout=30,
    ).json()
    return "\n".join(
        f'{r["position"]}. {r["title"]} — {r["link"]}\n   {r.get("snippet","")}'
        for r in data["organic"]
    )

With the OpenAI tool-calling API

tools = [{
    "type": "function",
    "function": {
        "name": "google_search",
        "description": "Search Google for up-to-date information.",
        "parameters": {
            "type": "object",
            "properties": {
                "query": {"type": "string"},
                "country": {"type": "string", "default": "us"},
            },
            "required": ["query"],
        },
    },
}]
# When the model calls google_search, run the function above and return its
# output as the tool result, then let the model answer with citations.

With LangChain

from langchain.tools import Tool

search_tool = Tool(
    name="google_search",
    description="Search Google for current information.",
    func=lambda q: google_search(q),
)
# Add search_tool to your agent's tool list.

Why serp.cheap fits agents

  • Synchronous ~2s responses — no async queue to orchestrate inside a tool call.
  • Cheap at scale — agents fan out many searches; $0.0006/call (half cached) keeps runs affordable.
  • Real google.com + citations — return links the model can cite, not a black-box index.

Next

Try serp.cheap

Wire it into your agent as a tool call in a few lines. 100 free searches on signup — no card required; pay-as-you-go from $0.75/1k after that, and credits stay valid for 12 months.

Frequently asked questions

How do I give an AI agent Google search?+

Expose a SERP API as a tool/function the model can call. The agent passes a query, your function calls the API and returns the organic results as text the model can reason over. serp.cheap works well because it's synchronous and cheap enough to run at agent scale.

Why not use the model's built-in browsing?+

Built-in browsing is opaque, rate-limited and not always available via API. A dedicated SERP API gives you control over country, freshness and cost, and returns structured results you can cite.

Get your API key

Cheapest direct, pay by card or crypto, no KYC. Or use a marketplace.