For the complete documentation index, see llms.txt. This page is also available as Markdown.

2. Architecture Overview

The WGA architecture consists of five independent yet interconnected layers

User Apps (Web2 + Web3)

↓

â‘  Collection Layer

SDK, API, Pixel, On-chain Indexer

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â‘¡ Normalization Layer

Cross-channel standardization

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â‘¢ AI Validation Layer

Fraud isolation + behavioral interpretation + confidence scoring

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â‘£ Metric Structuring Layer

Transformation of validated behaviors →analytical metric structures

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⑤ Settlement Layer

Anchoring of summary proofs,securing of data integrit

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Output Layer

Report, Dashboard, API

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.

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