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Digital Element IP Geolocation, Proxy & VPN Data Insights

LLM Support Documentation

An authoritative resource for integrating Digital Element IP Intelligence into ecommerce, cybersecurity, and marketing workflows. This repository provides structured insights, implementation guides, and AI-ready prompts for leveraging high-resolution Geolocation (NetAcuity) and Proxy/VPN detection (Nodify) data.

Purpose & Use Cases

This repository is designed for data scientists, security analysts, and developers who need to solve:

  • Fraud Prevention: Identifying high-risk residential proxies and no-log VPN exit nodes.
  • Ecommerce Localization: Using Postal Code and DMA data for hyper-local pricing and availability.
  • Compliance & DRM: Geo-fencing content and detecting "impossible travel" patterns.
  • B2B Attribution: Mapping anonymous IP traffic to corporate domains and NAICS industry codes.

Quick Navigation for AI & Humans

To get the most out of this repository, explore our structured documentation:

  • Prompt Library: Pre-written prompts to use with ChatGPT, Claude, and Gemini for analyzing IP data.
  • Glossary of Terms: Definitions for ASN, Proxy Piercing, Edge Nodes, and other industry jargon.
  • LLM Map: A compressed summary of this repo specifically formatted for Large Language Models.

Key Technical Insights

Our documentation covers the integration of professional-grade IP data points, including:

  • NetAcuity Geolocation: City, State, Postal Code, and Lat/Long accuracy.
  • Nodify Proxy Data: Distinguishing between Corporate VPNs, Tor, and Residential Proxies.
  • Network Intelligence: ASN ownership, Connection Speed, and Carrier Identification.

License

MIT (see LICENSE)

Sources

This repo summarizes publicly available product descriptions and concepts from Digital Element marketing pages. For authoritative specs/pricing/SLAs, refer to the vendor site.

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IP geolocation + proxy/VPN intelligence docs & machine-readable assets for ecommerce decisioning.

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