Molecule Protocol v3

Molecule Protocol v3 is an open-source data ownership tooling project that empowers users to own, control, and manage their data across four data types: Proprietary Data, Behavioral Data, Verifiable Credential Data, and Derivative Data. This README covers Behavioral Data, providing the framework to securely capture, store, and share user-generated interaction data in a privacy-preserving, decentralized ecosystem.

The protocol integrates Arweave, DIDs, encryption, and AI agents, utilizing the DOPA token (Data Ownership Protocol Agent) to incentivize and govern data sharing.

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Key Features

1. Behavioral Data Ownership:

   • Captures user interactions (e.g., clicks, views) locally by default.
   • Encrypted backups to Arweave ensure data permanence and accessibility.

2. Data Sovereignty:

   • Users retain full control over data, with DIDs enabling cross-device synchronization.
   • Sharing permissions are managed via SmartWeave Contracts, ensuring transparency.

3. Two-Tower Recommendation Engine:

   • Uses behavioral data to generate personalized feeds for content (news, products, and videos, etc.).
   • Combines user embeddings and content embeddings in a shared vector space.

4. Decentralized Marketplace:

   • Enables users to share data securely and receive compensation in DOPA tokens.

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Architecture Overview

1. Behavioral Data Capture

• Data is structured as JSON and captured locally on the user's device.
• Example Schema:

  {
    "event_type": "click",
    "content_id": "arweave_cid_5678",
    "timestamp": "2024-12-18T12:00:00Z",
    "metadata": {
      "device": "mobile",
      "location": "US"
    }
  }

2. Storage and Aggregation

• Local Storage: Behavioral data remains private by default.
• Encrypted Backup to Arweave:
  • Data is encrypted with user-specific keys before being stored.
  • Tagged with the user's DID for cross-device aggregation.

3. Data Sharing and Governance

• SmartWeave Contracts:
  • Handle user authorization for data sharing.
  • Specify access scope, duration, and compensation terms.
• Marketplace:
  • Enables businesses to request user data for AI training or analytics.
  • Users receive DOPA tokens as compensation.

4. Content Storage

• Content (e.g., articles, products, and videos, etc.) is stored on Arweave with unique CIDs.
• Metadata includes tags, embeddings, and publisher information.
• Example Metadata:

  {
    "cid": "arweave_cid_1234",
    "type": "video",
    "tags": ["technology", "AI"],
    "embedding": [0.23, 0.45, 0.67]
  }

5. Two-Tower Recommendation Engine

• User Tower:
  • Generates user embeddings from behavioral data.
  • Trained locally or in privacy-preserving environments.
• Item Tower:
  • Generates content embeddings from metadata stored on Arweave.
• Inference:
  • Matches user and content embeddings to generate personalized feeds.

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Technical Stack

Core Components

1. Data Capture:
   • Local tracking via SDKs (browser, mobile).
   • Offline-first with encrypted backups to Arweave.
2. Storage:
   • Behavioral data: Encrypted JSON on Arweave.
   • Content: Metadata and embeddings stored with CIDs.
3. Identity:
   • DIDs for user identification and cross-device synchronization.
4. Data Sharing:
   • SmartWeave Contracts for permission management.
   • Tokenized marketplace with DOPA tokens.

Tools and Frameworks

• Arweave: Permanent decentralized storage.
• ArDrive: User-friendly interface for managing data.
• DIDs: Decentralized Identifiers for user ownership.
• TensorFlow/PyTorch: AI models for feed generation.
• FAISS: Fast similarity search for recommendations.

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Example Workflow

1. Behavioral Data Workflow

1. Capture:
   • Track user interactions locally.
   • Example: User clicks a product.
   • Captured Event:

     {
       "event_type": "click",
       "content_id": "arweave_cid_5678"
     }

2. Encrypt and Store:
   • Data is encrypted locally and backed up to Arweave.
3. Data Sharing:
   • User authorizes access via SmartWeave Contract.
   • DOPA tokens are distributed as compensation.

2. Feed Generation

1. Training:
   • User embeddings (behavioral data) and content embeddings (Arweave metadata) are trained in a Two-Tower model.
2. Inference:
   • Compute similarity between embeddings to rank and recommend content.

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DOPA Token

• Utility:
  • Payment for data access.
  • Staking for ecosystem governance.
• Incentives:
  • Rewards users for sharing data.
  • Drives adoption and governance.

DOPA Tokenomics

Token Overview

• Total Supply: 1 billion tokens.
• Launch Mechanism: Default bonding curve on Protocol.land, ensuring token price increases as supply decreases.
• Primary Utility:
  • Incentivize Data Sharing: Rewards for users contributing behavioral data.
  • Access Behavioral Data: Payment for AI agents and companies to access user-shared data.
  • Governance: Token holders vote on ecosystem improvements and fee structures.

Key Stakeholders and Token Flows

1. Users:

   • Role: Data providers; own and control their behavioral data.
   • Token Flow:
     • Earn tokens for sharing behavioral data with authorized parties.
     • Pay tokens for value-added services like analytics or advanced recommendations.
   • Rewards Mechanism:
     • Flat rewards based on shared data volume.
     • Bonus rewards for high-value interactions (e.g., frequent, high-quality data).

2. AI Agents/Developers:

   • Role: Build and use tools for feed generation or analytics.
   • Token Flow:
     • Pay tokens to access user behavioral data (via SmartWeave contracts).
     • Receive tokens as grants for building ecosystem tools.
   • Access Fees:
     • Dynamic pricing based on requested data scope and duration.

3. Ecosystem Participants:

   • Role: Operate infrastructure and maintain protocol services (e.g., validators, SmartWeave execution).
   • Token Flow:
     • Earn transaction fees for facilitating SmartWeave contract operations.
   • Fee Breakdown:
     • 5% transaction fees for data-sharing contracts (adjustable via governance).

4. Governance:

   • Token holders decide:
     • Reward distribution structure.
     • Fee adjustments for ecosystem operations.
     • Future roadmap priorities.

Example Token Flow

• User A authorizes sharing behavioral data with AI Agent B for feed generation.
• AI Agent B pays 100 DOPA tokens via a SmartWeave contract.
• Tokens are distributed as:
  • 80 tokens to User A (data provider).
  • 10 tokens to ecosystem participants (transaction fees).
  • 10 tokens to a governance fund for future grants.

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Codebase for Behavioral Data Management

The repository will be similar to the original ao.zip code but designed for managing behavioral data. Below is the structure and key components.

Repository Structure

behavioral-data-toolkit/
├── contracts/
│   ├── SmartWeaveBehavioralDataContract.js
├── src/
│   ├── index.js
│   ├── utils/
│   │   ├── encryption.js
│   │   ├── arweaveUpload.js
│   └── components/
│       ├── dataCapture.js
│       ├── dataBackup.js
├── examples/
│   ├── uploadBehavioralData.js
│   ├── accessBehavioralData.js
└── README.md

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Core Functionalities

1. Behavioral Data Toolkit

Provides tools to:

• Capture Behavioral Data:

  • SDK for apps to locally capture behavioral events.
  • Example behavioral events:
    • Clicks, views, purchases.
    • Metadata: device, location, timestamp.

• Encrypt and Backup to Arweave:

  • Automatically encrypt data locally before uploading to Arweave.
  • Users can manage their backups via ArDrive.

2. SmartWeave Access Contracts

• Smart contracts define:
  • Scope of access (data type, duration).
  • Payment terms (in DOPA tokens).
• Example:

  const contract = {
    id: "behavioral-data-contract",
    owner: "user_arweave_wallet",
    authorizedParties: ["ai_agent_wallet"],
    accessDuration: "30d",
    fee: 100, // DOPA tokens
  };

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Code Examples

1. Capturing Behavioral Data

const dataCapture = require("./src/components/dataCapture");

dataCapture.trackEvent({
  eventType: "click",
  contentId: "arweave_cid_5678",
  metadata: { device: "mobile", location: "US" },
});

2. Encrypt and Backup Data

const { encryptData, uploadToArweave } = require("./src/utils/encryption");

(async () => {
  const eventData = {
    eventType: "view",
    contentId: "arweave_cid_1234",
    timestamp: Date.now(),
  };

  // Encrypt data
  const encryptedData = await encryptData(eventData, userPrivateKey);

  // Upload to Arweave
  const cid = await uploadToArweave(encryptedData);
  console.log(`Data uploaded with CID: ${cid}`);
})();

3. Data Sharing via SmartWeave

const SmartWeave = require("./contracts/SmartWeaveBehavioralDataContract");

(async () => {
  const contract = new SmartWeave({
    userWallet: "user_wallet_address",
    dopaFee: 100,
    accessDuration: "30d",
    authorizedParties: ["ai_agent_wallet"],
  });

  // Deploy contract
  await contract.deploy();
  console.log("SmartWeave Contract Deployed");
})();

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Quick Start

1. Capture Behavioral Data

Integrate the Molecule Protocol SDK:

Molecule.trackEvent({
  type: "click",
  contentId: "arweave_cid_5678",
  metadata: { device: "mobile" }
});

2. Backup to Arweave

Use the ArDrive API to encrypt and store data.

3. Authorize Data Sharing

Deploy SmartWeave Contracts to manage permissions:

contract DataSharing {
  mapping(address => bool) public authorized;

  function authorize(address entity) external {
    authorized[entity] = true;
  }

  function revoke(address entity) external {
    authorized[entity] = false;
  }
}

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Future Roadmap

1. Support for All Data Types:
   • Expand tooling for proprietary, verifiable credential, and derivative data.
2. Federated Learning:
   • Enable local model training for enhanced privacy.
3. Advanced Tokenomics:
   • Introduce staking mechanisms and governance models.

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Molecule Protocol v3 represents the next evolution of data ownership, empowering users to control and monetize their behavioral data while enabling advanced AI-driven recommendations.

Note: Moving project from Github to Protocol.Land, code will be available by end of December 2024.