Scavio for Multi-Agent System Search Integration

The Problem

Multi-agent systems without search tools produce reports, code, and recommendations based on stale training data. Each framework needs search configured differently.

How Scavio Helps

• One search API serves all agents
• Framework-specific tool definitions provided
• Shared search cache reduces duplicate queries
• Multi-platform data for richer agent context
• Cost: $0.005/search across all agents

Relevant Platforms

Quick Start: Python Example

Here is a quick example searching Google for "kubernetes security best practices 2026":

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 Developers building multi-agent orchestration systems

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