The Problem
Retail traders and small quant teams cannot afford Bloomberg terminals ($20K+/year) but need near-real-time financial news screening across dozens of tickers, which takes 2+ hours daily to do manually.
How Scavio Helps
- Monitor 100+ tickers every 30 minutes for under $12/day
- AI Overview extraction captures consensus analyst views
- Structured snippets feed directly into LLM sentiment scoring
- Ranked signal feed replaces 2+ hours of manual news browsing
- Sector-level keyword monitoring catches cross-ticker themes
Relevant Platforms
Web search with knowledge graph, PAA, and AI overviews
Quick Start: Python Example
Here is a quick example searching Google for "financial news screening API ticker monitoring automation 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 Retail traders, small quant teams, and fintech startups building news-driven signal products
Scavio handles the search infrastructure — proxies, CAPTCHAs, rate limits, and anti-bot detection — so you can focus on building your financial news ai screening 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.