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 top_ads, bottom_ads, ad headlines, destination URLs -- ready for reasoning and decision-making.
Setup
Bash
pip install openai requestsCode Example
Here is a complete OpenAI Assistants agent that searches Google Ads Transparency using Scavio:
Python
from openai import OpenAI
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.
client = OpenAI()
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())
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": "google ads transparency center notion"}],
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:
Python
from openai import OpenAI
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.
client = OpenAI()
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())
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": "google ads transparency center notion"}]
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 at $30/month for higher volumes.