Scavio for Search Consolidation for Multi-Agent Systems

The Problem

Multi-agent systems use different search APIs per agent (Tavily for web, a YouTube scraper, Amazon API, Reddit API). Managing 4-5 API keys, billing accounts, and rate limits across agents is operationally expensive.

How Scavio Helps

• One API key for Google, YouTube, Amazon, Walmart, Reddit, and TikTok
• Single billing account replaces 4-5 separate subscriptions
• Consistent response format across all platforms
• One rate limit to manage instead of per-provider limits
• MCP server provides all 6 platforms to agents automatically

Relevant Platforms

Quick Start: Python Example

Here is a quick example searching Google for "multi-platform search api consolidation":

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 Platform engineering teams managing multi-agent architectures with diverse search needs

Scavio handles the search infrastructure — proxies, CAPTCHAs, rate limits, and anti-bot detection — so you can focus on building your search consolidation for multi-agent systems 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.