What is OpenAI Assistants?
OpenAI's API for building AI assistants with function calling, code interpreter, and file search capabilities.
Searching Google Ads Transparency with OpenAI Assistants
This integration lets your OpenAI Assistants agent search Google Ads Transparency in real time via the Scavio API. The agent gets back structured JSON with advertiser_id and region_code, total_ads range, creative_id and preview URLs, first_shown, last_shown, days_shown -- ready for reasoning and decision-making.
Setup
pip install openai requestsCode Example
Here is a complete OpenAI Assistants agent that searches Google Ads Transparency using Scavio:
from openai import OpenAI
import json
import os
import requests
client = OpenAI()
def scavio_search(query: str) -> str:
"""Query Google Ads Transparency through the Scavio API (POST /api/v1/googleads/advertisers)."""
response = requests.post(
"https://api.scavio.dev/api/v1/googleads/advertisers",
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())
tools = [{
"type": "function",
"function": {
"name": "scavio_search",
"description": "Query Google Ads Transparency for real-time results",
"parameters": {
"type": "object",
"properties": {"query": {"type": "string"}},
"required": ["query"],
},
},
}]
response = client.chat.completions.create(
model="gpt-5.5",
messages=[{"role": "user", "content": "Nike"}],
tools=tools,
)
for tool_call in response.choices[0].message.tool_calls or []:
result = scavio_search(json.loads(tool_call.function.arguments)["query"])
print(result[:500])Full Working Example
A production-ready example with error handling:
from openai import OpenAI
import json
import os
import requests
client = OpenAI()
def scavio_search(query: str) -> str:
"""Query Google Ads Transparency through the Scavio API (POST /api/v1/googleads/advertisers)."""
response = requests.post(
"https://api.scavio.dev/api/v1/googleads/advertisers",
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())
tools = [{
"type": "function",
"function": {
"name": "scavio_search",
"description": "Query Google Ads Transparency for real-time results",
"parameters": {
"type": "object",
"properties": {"query": {"type": "string"}},
"required": ["query"],
},
},
}]
messages = [{"role": "user", "content": "Nike"}]
response = client.chat.completions.create(model="gpt-5.5", messages=messages, tools=tools)
if response.choices[0].message.tool_calls:
messages.append(response.choices[0].message)
for tc in response.choices[0].message.tool_calls:
result = scavio_search(json.loads(tc.function.arguments)["query"])
messages.append({"role": "tool", "tool_call_id": tc.id, "content": result})
final = client.chat.completions.create(model="gpt-5.5", messages=messages)
print(final.choices[0].message.content)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 OpenAI Assistants integration. Paid plans start from $24/mo billed yearly for higher volumes.