Hemera Doc
  • 👋Welcome
    • Introduction
    • Quick Start
    • Account Centric Indexing Protocol
      • What is Account-Centric Indexing?
      • Why "account-centric" indexing?
      • The advantages of Account-Centric Indexing
      • What's next for account-centric indexing?
      • Why create a new protocol here?
      • The Hemera Network
        • Network Roles
        • Indexers
        • Validators
        • Proprietary models & knowledge
        • Proprietary data and labels
        • Smart Contracts
        • Key roadmap items
        • Supported blockchains
      • Example Hemera use cases
        • SocialScan Explorers
        • Anti-sybil UML algorithm
        • Ethereum long term DA
        • EVM chain history preservation
        • Ecosystem AI Agents
        • User-defined AI Agents
  • 👩‍💻Developer Resources
    • Smart Contract Developers
    • EVM-compatible chains
      • Blockchain explorers
      • SocialScan explorer API doc
      • Ecosystem AI Agents
    • Dapp developers
    • User-defined Agent creators
    • AVS Operator
  • 🖥️Hemera Indexer
    • Introduction
    • Installation
      • Prerequisites
      • Install & Run
      • Export Result
    • Configurations
    • Benchmark
    • Data Class
      • Raw Data Tables
        • Blocks
        • Transactions
        • Logs
        • Traces
      • Generated Tables
        • Contract Internal Transactions
        • ERC20 Token Transfers
        • Tokens
        • ERC20 Token Holders
        • ERC721 Token Transfers
        • ERC721 Token Holders
        • ERC1155 Token Transfers
        • ERC1155 Token Holders
        • Address Coin Balances
        • Address Token Balances
        • Address Current Token Balances
        • Daily Wallet Address Stats
        • Contracts
      • Other Tables
        • Inscriptions
        • Bridges
          • L1 to L2 Transactions
          • L2 to L1 Transactions
          • Optimistic Rollup Data Availability Batches
          • Optimistic Rollup State Batches
    • Use Cases
      • UniSwap V3
        • Data Class
        • Trigger and Function
        • Run & Query
      • ENS
        • Data Class
        • Trigger and Function
        • Run & Query
      • OpenSea
        • Data Class
        • Trigger and Function
        • Run & Query
      • Deposit to L2
        • Data Class
        • Trigger and Function
        • Run & Query
      • User Profile
  • UDFs - User Defined Functions
    • Introduction
    • Components of UDFs
    • Building User Defined Functions(UDF)
    • Testing and Running UDF
    • Troubleshooting and Support
    • Supported UDFs
    • FAQs
  • 😄About us
    • The story behind building Hemera
    • Partners & Backers
    • Partnership inquiries
    • Hemera Powered Explorers
    • Active Developer Hackathons
    • Developer Contribution
  • Documentation feedback
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  1. Welcome
  2. Account Centric Indexing Protocol
  3. The Hemera Network

Proprietary data and labels

Data is the fuel for AI, and data residing outside of specific AI use cases are of much less value. The demand for proprietary data and labels usually arises from the needs to develop AI & ML models. This often involves the requirement for off-chain proprietary data & labels in addition to on-chain data.

In model training scenarios, web3 end users are incentivized to contribute the requested data in a secure, verifiable and attributable manner. They earn both one-time incentives and continued reward shares when the developed model is utilized by consumers.

After models are deployed in production, users' usage data can be securely recorded to aid in model improvement, thereby attributing thier contributions to the enhancement of the models.

To achieve this goal, Hemera Network can integrate with 3rd party protocols, such as zero-knowledge proofs for data privacy and verification, incentive attribution protocols for tracking rewards, and and proprietary data and labels residing on Hemera Network as special artifacts providing value to consumers.

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