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