The Problem
Lead enrichment pipelines typically involve 5+ steps across different tools: find company, scrape website, verify email, check social presence, score fit. Each step uses a different API with different auth, pricing, and failure modes.
How Scavio Helps
- Collapse 5-step pipeline into 1-2 MCP calls
- Single API key for search and enrichment
- Agent decides which data to fetch per lead
- No pipeline orchestration code to maintain
- Works in Claude Code, Claude Desktop, Cursor
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 "Agent receives company name. MCP search tool queries Google for company website, funding, team size. Second call checks Reddit for employee reviews and customer sentiment. Agent scores lead as high/medium/low based on combined signals. Total: 2 API calls, 5 seconds, $0.01.":
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 Growth engineers, sales ops, marketing automation specialists using Claude Code
Scavio handles the search infrastructure — proxies, CAPTCHAs, rate limits, and anti-bot detection — so you can focus on building your mcp-powered lead enrichment 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.