Integration

Scavio + Semantic Kernel

Add real-time search to your Semantic Kernel agents with Scavio. Search Google, Amazon, YouTube, Walmart, and Reddit — one integration, five platforms.

What is Semantic Kernel?

Microsoft's SDK for integrating LLMs into applications. Supports plugins, planners, and memory for building AI agents.

How It Works

Scavio connects to Semantic Kernel via a plugin. Once connected, your Semantic Kernel agent can search Google, Amazon, YouTube, and Walmart in real time. Each search returns structured JSON — no HTML parsing, no scraping infrastructure.

Setup

Bash
pip install semantic-kernel requests

Code Example

Here is a complete Semantic Kernel integration with Scavio:

Text
import semantic_kernel as sk
from semantic_kernel.functions import kernel_function
import requests
import json

class ScavioPlugin:
    @kernel_function(description="Search the web using Scavio")
    def search(self, query: str) -> str:
        response = requests.post(
            "https://api.scavio.dev/api/v1/search",
            headers={"x-api-key": "your_scavio_api_key", "Content-Type": "application/json"},
            json={"query": query},
        )
        return json.dumps(response.json())

kernel = sk.Kernel()
kernel.add_plugin(ScavioPlugin(), "scavio")

Full Working Example

A production-ready example with error handling:

Text
import semantic_kernel as sk
from semantic_kernel.functions import kernel_function
import requests
import json

class ScavioPlugin:
    @kernel_function(description="Search the web using Scavio")
    def search(self, query: str) -> str:
        response = requests.post(
            "https://api.scavio.dev/api/v1/search",
            headers={"x-api-key": "your_scavio_api_key", "Content-Type": "application/json"},
            json={"query": query},
        )
        return json.dumps(response.json())

kernel = sk.Kernel()
kernel.add_plugin(ScavioPlugin(), "scavio")

# Use the plugin
result = await kernel.invoke("scavio", "search", query="best AI frameworks 2026")
print(result)

Available Platforms

Once connected, your Semantic Kernel agent has access to all four Scavio platforms:

  • GoogleWeb search with knowledge graph, PAA, and AI overviews
  • AmazonProduct search with prices, ratings, and reviews
  • RedditCommunity, posts & threaded comments from any subreddit
  • YouTubeVideo search with transcripts and metadata
  • WalmartProduct search with pricing and fulfillment data

Pricing

Scavio offers a free tier with 500 credits/month (1 credit per search). No credit card required. This is enough to build and test your Semantic Kernel integration. Paid plans start at $30/month for higher volumes.

Frequently Asked Questions

Install Scavio that calls the Scavio API. Register the tool with your agent and your Semantic Kernel agent will have access to real-time search across Google, Amazon, YouTube, and Walmart.

Scavio works with Semantic Kernel via custom tool definitions. The integration takes under 10 minutes to set up. See the code example above for the full setup.

Once connected, your Semantic Kernel agent can search Google (web, news, images, shopping, maps), Amazon (12 marketplaces), YouTube (videos, transcripts, channels), and Walmart. All from a single API key.

Scavio has a free tier with 500 credits/month (1 credit per search). This is enough to build and test your Semantic Kernel integration. Paid plans start at $30/month. There is no per-seat or per-agent pricing.

Add Real-Time Search to Semantic Kernel

Get your free Scavio API key and connect Semantic Kernel to Google, Amazon, YouTube, Walmart, and Reddit. 500 free credits/month.