Proxy Gateway Architecture

[ARCH-01] | Distributed Data Delivery | Last Updated: January 1, 2026

1. Technical Objective: The "Universal Mirroring" Protocol

The objective of ARCH-01 is to transition any e-commerce storefront from passive hosting to Active Agentic Delivery. By establishing a high-fidelity mirror at the network edge, we eliminate the "Context Gap" that occurs when AI models attempt to parse complex, platform-specific HTML. This gateway ensures that whether the origin is a legacy database or a modern SaaS, the AI agent receives a standardized, hardened truth.

2. Distributed Edge Architecture & Platform Agnosticism

Our laboratory utilizes a Multi-Adapter Ingestion model, decoupling your "Truth Layer" from your specific e-commerce platform.

Universal EdgeProxy Logic

The gateway acts as an Agentic Traffic Controller, identifying the requesting entity (e.g., GPT-bot, Gemini-Live) and serving the appropriate data format.

It utilizes Platform Adapters to translate raw data from any origin into context-aware, machine-readable nodes.

Mirroring & Caching Strategy

Mirroring: RankLabs creates a technical "Twin" of your product catalog at the edge, independent of the origin's CMS.

Caching: We implement a stale-while-revalidate strategy to ensure agents always receive a "Hardened Node" with near-zero latency, protecting your origin server from AI-driven traffic spikes.

Dynamic Response Injection

The proxy performs real-time Security Injection, serving the hardware-entropy fingerprinting scripts to validate the requester's intent.

3. ARCH-01: Technical Specification Block

This block defines the configuration for your RankLabs Universal Edge Node:

{
  "gateway": {
    "type": "EdgeProxy",
    "version": "2.1.0",
    "adapters": ["Shopify", "BigCommerce", "Custom-API", "Headless"],
    "endpoints": {
      "primary": "edge.ranklabs.ai",
      "fallback": "cdn.ranklabs.ai"
    },
    "cache": {
      "ttl": 3600,
      "strategy": "stale-while-revalidate"
    }
  }
}

4. Comparative Advantage: Platform-Agnostic Ingestion

Feature	Platform-Locked Hosting	RankLabs [ARCH-01]
Origin Support	Single Platform Only	Universal (Any E-comm Origin)
Data Format	Native HTML/Liquid	Hardened JSON-LD Nodes
Security	Standard WAF	Behavioral Fingerprinting (SEC-01)
Ingestion Type	Search Crawl	Active Mirroring & Push
Trust Model	Probabilistic	Deterministic (Verified)

Related Specifications

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Systems Architecture by Sangmin Lee, ex-Peraton Labs. Engineered in Palisades Park, New Jersey.