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Step-by-Step Guide to Anchoring and Monetizing Your AI Data with LazAI
Ever wondered why AI models make billions while the people who own the real data behind them get… nothing?
You have data maybe it’s research, financial signals, co-created AI model, or insights no one else has. But handing it over to big platforms means losing control, credit, and any hope of profit.
LazAI gives developers and data contributors a way to share privacy-sensitive data with AI systems while keeping full control over how that data is used. In return, contributors receive Data Anchoring Tokens, known as DATs.
A DAT is an onchain asset you actually own, control, and monetize. By anchoring your data, you get paid every time your data, model, or compute resource is used.
This guide will walk you through encrypting, uploading, registering, and verifying your data. But before diving into the how, let’s look at why it matters.
Why Turn Your Data Into an Asset in the New AI Economy
Imagine you are a medical researcher. You hold a rare disease dataset. Until now, there was no way to share it securely, prove its use, or earn recognition. With DATs, you anchor your data, set terms, track usage, and earn income without giving up privacy.
Why contribute your data:
- Earn based on utility, not volume
- Retain full ownership with licensing and audit trails
- Keep data private and secure
- Support open, decentralized AI
Unlike other platforms that reward clicks or participation, LazAI values the data itself. By contributing, you help build AI that is owned by users, not platforms. LazAI is the only system where rewards are tied to verifiable inference, not speculation or popularity, making DATs a true measure of data utility.
What You Need
- A Web3 wallet such as MetaMask.
- An IPFS account with a valid Pinata JWT token.
- The Alith SDK for Rust, or the corresponding Python or Node.js SDK.
- Your own privacy-sensitive data to contribute.
- Basic command line and programming knowledge.
You will need a development environment set up for Rust, Python or Node.js. You can find full implementation details for each here: https://alith.lazai.network/docs/lazai/data-provider
Follow these steps to go from “I have data” to “I have revenue, control, and recognition.”
LazAI Data Contribution Guide [Node.js Implementation]
Step 1: Project Setup Create a new project directory and initialize it.
Step 2: Install Alith and Dependencies Install the required packages for Node.js.
Step 3: Set Your Environment Variables Before proceeding, make sure your environment includes your wallet and IPFS credentials.
Step 4: Encrypt Your Privacy Data Use your Web3 wallet to sign a message. The result will serve as your encryption password.
Step 5: Upload the Encrypted Data to IPFS Upload the encrypted data to IPFS and retrieve the shareable link.
Step 6: Register the Data on Chain Submit the IPFS URL of your encrypted file to the LazAI smart contract.
Step 7: Request Proof from a Verified Node Request that a verified compute node processes your data securely using a trusted execution environment.
Encrypt the password using the compute node's public key.
Send the proof request.
Step 8: Claim Your DAT Reward Once the node validates your contribution, you can request your DAT reward.
Complete Implementation
Create index.ts
Configuration Files
Add to package.json:
Create tsconfig.json:
Run the Script
Summary
LazAI turns your privacy-sensitive data into an asset that supports open AI systems. By encrypting your contribution, anchoring it to a decentralized archive, and validating it through trusted nodes, you retain ownership while earning DAT for your role in the process. They are on-chain records of value, participation and access. They form a foundation for aligning incentives in AI infrastructure that is collaborative, private, and decentralized by design.
To explore more or switch to Python or Rust, refer to the full documentation here.
Follow LazAI on social channels and join the Developer Discord to stay updated on new tools, contributor rewards and governance opportunities. DATs can become a foundational component of decentralized AI.
By anchoring your data with DATs, you are not just participating in a new system. You are actively building a future where intelligence is powered by individuals, not corporations.