Scavio for Prediction Market Arbitrage Detection

The Problem

Prediction market participants miss arbitrage opportunities because they cannot systematically compare contract prices against the latest publicly available information.

How Scavio Helps

• Real-time news search to verify information priced into contracts
• Reddit sentiment as crowd wisdom signal
• Structured results for automated mispricing detection
• Low query cost supports high-frequency scanning
• Multi-source validation for higher confidence signals

Relevant Platforms

Quick Start: Python Example

Here is a quick example searching Google for "2026 election latest polling results swing states":

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 Prediction market traders and quantitative analysts

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