> For the complete documentation index, see [llms.txt](https://web3-growth-agent-wga.gitbook.io/whitepaper_ver2.0_en/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://web3-growth-agent-wga.gitbook.io/whitepaper_ver2.0_en/.-platform-architecture-and-technical-framework/2.-architecture-overview.md).

# 2. Architecture Overview

The WGA architecture consists of five independent yet interconnected layers

User Apps (Web2 + Web3)

         ↓

① Collection Layer

   SDK, API, Pixel, On-chain Indexer

         ↓

② Normalization Layer

   Cross-channel standardization

         ↓

③ AI Validation Layer

   Fraud isolation + behavioral interpretation + confidence scoring

         ↓

④ Metric Structuring Layer

    Transformation of validated behaviors →analytical metric structures

         ↓

⑤ Settlement Layer

   Anchoring of summary proofs,securing of data integrit

         ↓

Output Layer

&#x20;  Report, Dashboard, API<br>

The following principles are central to this architecture.

Each layer does not implicitly trust the outputs of the preceding stage. Instead, the system is engineered to ensure that input and transformation processes are fully traceable. Maintaining a record of which data underwent specific processes to reach a final output is essential for ensuring that results can be reproduced using identical standards over time.

This section describes the technical architecture designed to maintain consistent verification, interpretation, and recording principles, even as WGA integrates a broader range of partner applications and data sources.<br>