Scavio for Azure AI Product Search Agent

The Problem

An r/AZURE post showcased a 6-part AI product search agent on Azure AI. Single-source product agents miss community-flagged winners. Scavio's multi-source layer adds Reddit opinion signal that pure SERP cannot match.

How Scavio Helps

• No SDK required (plain HTTPS POST)
• Edge-runtime friendly
• Reddit opinion signal
• Multi-marketplace product data
• Replaces discontinued Bing Search API

Relevant Platforms

Quick Start: Python Example

Here is a quick example searching Google for "best home fitness equipment under $100 with positive reviews":

import requests

API_KEY = "your_scavio_api_key"

response = requests.post(
    "https://api.scavio.dev/api/v1/search",
    headers={
        "x-api-key": API_KEY,
        "Content-Type": "application/json",
    },
    json={"query": query},
)

data = response.json()
for result in data.get("organic_results", [])[:5]:
    print(f"{result['position']}. {result['title']}")
    print(f"   {result['link']}\n")

Built for Azure AI builders, Azure-stack enterprises, .NET-first teams, Azure Functions developers

Scavio handles the search infrastructure — proxies, CAPTCHAs, rate limits, and anti-bot detection — so you can focus on building your azure ai product search agent solution. The API returns structured JSON that is ready for processing, analysis, or feeding into AI agents.

Start with the free tier (50 credits on signup, no credit card required) and scale to paid plans when you need higher volume.