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