The Problem
An r/ClaudeCode post wired Claude to TradingView via MCP. The complete trading agent needs 3-4 data surfaces; without MCP routing, the tool surface gets confused fast.
How Scavio Helps
- Multi-source context under 2-3 named MCPs
- Reddit sentiment as leading indicator
- Filings via dorked search (site:sec.gov)
- Stack cost ~$30 (Scavio) + free (TradingView)
- Honest constraint: research-grade, not trading advice
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 "for NVDA: pull 7d headlines + top 5 WSB threads + daily chart + summarize bull and bear case":
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 Quant-curious devs building research agents, finance content creators automating bull/bear analyses, paper-trade strategy builders
Scavio handles the search infrastructure — proxies, CAPTCHAs, rate limits, and anti-bot detection — so you can focus on building your claude trading context agent 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.