The Problem
Retail investors miss market-moving news because they rely on delayed feeds or manual checks. By the time news appears on retail platforms, institutional traders have already moved. Earlier detection through search catches news faster.
How Scavio Helps
- MCP integration: your AI assistant searches for stock news automatically
- Classify news events: earnings, analyst ratings, SEC filings, general
- Pre-market briefing delivered before market open
- Monitor any number of tickers at $0.005/search per ticker
- Structured results include article title, source, and publication date
Relevant Platforms
Web search with knowledge graph, PAA, and AI overviews
Quick Start: Python Example
Here is a quick example searching Google for "NVDA earnings report analyst upgrade 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 investors, financial analysts, and trading teams who want automated pre-market news briefings
Scavio handles the search infrastructure — proxies, CAPTCHAs, rate limits, and anti-bot detection — so you can focus on building your stock news monitoring via mcp search 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.