Treenteq: A data liquidity platform

Treenteq is a decentralized platform that allows users to tokenize and monetize datasets, enabling secure and transparent data transactions. The platform leverages blockchain technology to create a marketplace where data owners can mint ERC-1155 tokens as proof of ownership for their datasets, and buyers can purchase access to these datasets in a trustless and decentralized manner.

Key Features

1. Tokenization of Datasets

• Data providers can tokenize their datasets by minting ERC-1155 tokens.
• Each token represents proof of ownership and access rights to the dataset.

2. Decentralized Transactions

• Buyers can purchase datasets by paying the price specified by the owner during token minting.
• Payments are transferred to the token holder, ensuring secure and trustless transactions.

3. Data Validation

• An Excel file validator ensures the quality and validity of datasets before tokenization.
• The validator performs column-based type analysis to check for data integrity.

4. Proof of Ownership

• The platform generates a unique content hash for each dataset, ensuring that ownership and authenticity can be verified at any time.

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Tech Stack

Frontend

• Next.js: Framework for server-side rendering and optimized React applications.
• TypeScript: Ensures type safety and improved developer experience.
• Tailwind CSS: Utility-first CSS framework for styling.
• React: Component-based UI development.

Backend

• Next.js: Framework for server-side rendering.

Blockchain

• ERC-1155: Token standard for multi-token support.
• Viem: Library for interacting with the Ethereum blockchain.
• Privy: Wallet authentication and embedded wallet support.

Additional Tools

• Excel Validator: Custom-built component for validating Excel datasets before tokenization.

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Installation

Prerequisites

• Node.js (>= 16.x)
• pnpm or yarn or npm
• MetaMask Wallet

Clone the Repository

git clone https://github.com/treenteq/treenteq.com.git
cd treenteq.com

Install Dependencies

pnpm install

Environment Variables

Create a .env file in the root directory and configure the following variables:

PRIVY_APP_ID = your_privy_app_id
NEXT_PUBLIC_PINATA_API_KEY = your_pinata_api_key
NEXT_PUBLIC_PINATA_SECRET_KEY =
PINATA_JWT = your_pinata_secret_key
NEXT_PUBLIC_CONTRACT_OWNER_PRIVATE_KEY = your_private_key

Run the Development Server

pnpm dev

The app will be available at http://localhost:3000.

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Usage

Tokenizing a Dataset

1. Log in with your MetaMask wallet.
2. Upload your dataset in Excel format via the Excel Validator.
3. If validation is successful, proceed to mint an ERC-1155 token.
4. Specify the price for accessing the dataset.

Purchasing a Dataset

1. Browse available datasets on the marketplace.
2. Select a dataset and pay the specified amount using your connected wallet.
3. Access the dataset once the transaction is confirmed.

Minting Process Overview

• The dataset is validated for quality.
• A content hash is generated using keccak256.
• An ERC-1155 token is minted with metadata, including the content hash.

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Contributing

Reporting Issues

If you find any bugs or have feature requests, please open an issue in the GitHub repository.

Pull Requests

1. Fork the repository.
2. Create a feature branch.
3. Commit your changes and push to your fork.
4. Open a pull request against the main branch.

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Roadmap

Phase 1: Core Functionality

• Dataset tokenization and marketplace features.
• Integration of dataset validation and hashing.

Phase 2: Advanced Features

• Enable Fiat-to-Cypto Transaction using a web3 paywall
• Enhanced search and filtering for datasets.

Phase 3: Community Growth

• Incentivize dataset providers with rewards.
• Build partnerships with data providers and enterprises.

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License

This project is licensed under the MIT License. See the LICENSE file for details.

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