✅DAT - Data Anchoring Token

A Novel Semi-Fungible Token Standard for AI Data and Models

LazAI moves away from the traditional transaction ledger model, utilizing innovative assetization standards (such as Data Anchoring Token) and a series of new architectures, dedicated to creating a composable environment for Web3 AI applications based on aligned data, advancing the AI + Web3 new paradigm.

The Data Anchoring Token (DAT) is a semi-fungible token (SFT) standard specifically designed for AI dataset ownership, licensing, model anchoring, and provenance tracking.

Unlike traditional token standards, DAT introduces a multi-layered ownership model, supporting programmable AI data governance, composable datasets, and decentralized AI model execution.

The core distinction between DAT and previous SFT models is its native AI asset integration, allowing structured access control, automated licensing, and composable AI dataset evolution.

Core Structure of DAT

DAT incorporates a multi-tiered token structure, optimizing fungibility, ownership flexibility, and AI-native operations. Each DAT token is characterized by three attributes:

Attribute	Function
Asset ID (Unique AI Asset Identifier)	Represents an AI dataset, model, or agent, uniquely anchoring it on-chain.
Access Tier (Granular Permissioning Mechanism)	Defines usage rights (e.g., read-only, training, inference, resale).
Partitioned Value (Divisible Ownership Units)	Represents fractional ownership or usage quotas, allowing flexible AI data licensing and economic models.

This architecture enables AI asset composability, fractional trading, and programmable governance, distinguishing it from previous SFT models.

DATs Unique AI-Driven Features:

• Composable & Forkable AI Data

  • Composability: AI datasets and models can be combined, transferred, and modified while preserving lineage and provenance tracking.

  • Forking & Evolution: Developers can fork datasets to create refined AI models while original data owners retain revenue-sharing rights.

• Programmable AI Licensing & Usage-Based Compensation

  • Dataset Licensing: Users can license AI datasets/models via programmable smart contracts, ensuring royalty distribution.

  • Inference & Training Access: DAT enforces usage quotas, granting on-chain controlled access to AI training or inference services.

• AI Agent Verification & Incentive Structure:

  • Verifiable AI Computation: AI model results are anchored with cryptographic proofs (Merkle Trees, ZK Proofs).

  • Fraud Proofs & Governance: Challengers can dispute invalid or biased AI models, triggering automated slashing.

As AI increasingly relies on private and proprietary data, DAT ensures trustless verification, ownership tracking, and monetization without compromising privacy or increasing on-chain storage costs.