Scavio for DeerFlow Multi-Agent Search Integration

The Problem

DeerFlow defaults to single-platform search providers. Multi-platform search gives research agents access to Google, YouTube, Reddit, and Amazon in one tool.

How Scavio Helps

• Multi-platform search in DeerFlow agents
• Structured JSON reduces token usage
• 6 platforms vs single-platform default
• Drop-in provider swap in config
• Lower cost than Tavily at scale

Relevant Platforms

Quick Start: Python Example

Here is a quick example searching Google for "best project management tool for remote teams 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 DeerFlow users building research and analysis agents

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