Skip Tracing POC - Professional Demo Platform
@GautaVaid
关于 Skip Tracing POC - Professional Demo Platform
Professional skip tracing demo built with 6-server MCP stack - Locate individuals and gather contact information with AI-powered confidence scoring
基本信息
配置
工具
未检测到工具
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
概览
What is Skip Tracing POC - Professional Demo Platform?
A proof-of-concept demonstration platform that showcases automated skip tracing for repo companies, debt collectors, and legal professionals. The system aggregates data from over 20 verified sources to locate individuals and gather contact information with professional confidence scoring.
How to use Skip Tracing POC - Professional Demo Platform?
Clone the repository, install backend and frontend dependencies, configure environment variables (APIFY_TOKEN, SUPABASE_URL, SUPABASE_ANON_KEY), run database migrations and seed, then start the backend and frontend dev servers. The frontend is at http://localhost:3000 and the backend API at http://localhost:8000.
Key features of Skip Tracing POC - Professional Demo Platform
- Real-time multi-source search across 20+ databases simultaneously
- AI-powered confidence scoring for result validation and ranking
- Professional reporting with PDF/CSV exports and branding
- Mobile responsive design for all devices and browsers
- GDPR/CCPA compliant data handling
- Enterprise-ready scalable architecture with comprehensive testing
Use cases of Skip Tracing POC - Professional Demo Platform
- Locating individuals for vehicle repossession
- Gathering contact information for debt collection campaigns
- Validating and ranking skip tracing results for legal professionals
- Demonstrating automated skip tracing concept to potential beta users
FAQ from Skip Tracing POC - Professional Demo Platform
How is data privacy handled?
All Personally Identifiable Information (PII) is encrypted at rest and in transit. Search results are automatically purged after 24 hours. The demo uses anonymous usage and is GDPR/CCPA compliant.
What are the rate limits for the API?
Search API: 10 requests per minute per IP. Export API: 5 requests per minute per IP. Analytics API: 100 requests per minute per IP.
What are the system requirements to run this demo locally?
Node.js 18 or later, Git, a Supabase account, an Apify account, and Claude Desktop with MCP configuration are required.
What MCP servers does this project use?
The project uses six MCP servers: Filesystem, Git, GitHub, Playwright, Apify, and Supabase.
Under what license is this project released?
MIT License.
开发工具 分类下的更多 MCP 服务器
OpenSumi
opensumiA framework helps you quickly build AI Native IDE products. MCP Client, supports Model Context Protocol (MCP) tools via MCP server.
test
cloudwegoThe ultimate LLM/AI application development framework in Go.
TalkToFigma
sonnylazuardiTalkToFigma: MCP integration between AI Agent (Cursor, Claude Code, Codex) and Figma, allowing Agentic AI to communicate with Figma for reading designs and modifying them programmatically.
JetBrains MCP Proxy Server
JetBrainsA model context protocol server to work with JetBrains IDEs: IntelliJ, PyCharm, WebStorm, etc. Also, works with Android Studio
评论