The Problem
Trading agents relying solely on price feeds miss sentiment shifts, breaking news, and market narratives that drive short-term price action.
How Scavio Helps
- Real-time news search for event-driven strategies
- Reddit sentiment as a leading indicator for retail-driven moves
- Structured results for automated signal extraction
- Low latency API suitable for time-sensitive trading decisions
- Complement price feeds with qualitative market context
Relevant Platforms
Web search with knowledge graph, PAA, and AI overviews
Community, posts & threaded comments from any subreddit
Quick Start: Python Example
Here is a quick example searching Google for "NVIDIA earnings surprise market reaction analysis":
Python
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 Quantitative traders and fintech teams building AI trading systems
Scavio handles the search infrastructure — proxies, CAPTCHAs, rate limits, and anti-bot detection — so you can focus on building your trading agent market intelligence 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.