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 (250 credits/month, no credit card required) and scale to paid plans when you need higher volume.