What is AutoGen?
Microsoft's framework for building multi-agent conversational AI systems. Agents can converse, use tools, and collaborate autonomously.
Searching Google Ads Transparency with AutoGen
This integration lets your AutoGen agent search Google Ads Transparency in real time via the Scavio API. The agent gets back structured JSON with top_ads, bottom_ads, ad headlines, destination URLs -- ready for reasoning and decision-making.
Setup
Bash
pip install autogen-agentchat requestsCode Example
Here is a complete AutoGen agent that searches Google Ads Transparency using Scavio:
Python
from autogen import ConversableAgent
import json
import os
import requests
# Scavio has no Ads Transparency endpoint. This searches the public Ads Transparency Center pages through Google, which returns pages about the advertiser rather than the ad creatives themselves. For live ad copy on a keyword, read the top_ads and bottom_ads blocks of a POST /api/v2/google response instead.
def scavio_search(query: str) -> str:
"""Query Google Ads Transparency through the Scavio API (POST /api/v2/google)."""
response = requests.post(
"https://api.scavio.dev/api/v2/google",
headers={
"Authorization": "Bearer " + os.environ["SCAVIO_API_KEY"],
"Content-Type": "application/json",
},
json={"query": query},
timeout=60,
)
response.raise_for_status()
return json.dumps(response.json())
assistant = ConversableAgent(
"assistant",
llm_config={"model": "gpt-5.5"},
system_message="You are a helpful research assistant.",
)
user = ConversableAgent("user", human_input_mode="NEVER")
assistant.register_for_llm(name="search", description="Query Google Ads Transparency")(scavio_search)
user.register_for_execution(name="search")(scavio_search)
user.initiate_chat(assistant, message="Research: google ads transparency center notion")Full Working Example
A production-ready example with error handling:
Python
from autogen import ConversableAgent
import json
import os
import requests
# Scavio has no Ads Transparency endpoint. This searches the public Ads Transparency Center pages through Google, which returns pages about the advertiser rather than the ad creatives themselves. For live ad copy on a keyword, read the top_ads and bottom_ads blocks of a POST /api/v2/google response instead.
def scavio_search(query: str) -> str:
"""Query Google Ads Transparency through the Scavio API (POST /api/v2/google)."""
response = requests.post(
"https://api.scavio.dev/api/v2/google",
headers={
"Authorization": "Bearer " + os.environ["SCAVIO_API_KEY"],
"Content-Type": "application/json",
},
json={"query": query},
timeout=60,
)
response.raise_for_status()
return json.dumps(response.json())
assistant = ConversableAgent(
"assistant",
llm_config={"model": "gpt-5.5"},
system_message="You are a helpful research assistant with real-time search.",
)
user = ConversableAgent("user", human_input_mode="NEVER", max_consecutive_auto_reply=3)
assistant.register_for_llm(name="search", description="Query Google Ads Transparency")(scavio_search)
user.register_for_execution(name="search")(scavio_search)
user.initiate_chat(assistant, message="Research: google ads transparency center notion")Pricing
Scavio offers a free tier with 50 credits on signup (1 credit per search). No credit card required. This is enough to build and test your AutoGen integration. Paid plans start at $30/month for higher volumes.