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. Example Hemera use cases

Ecosystem AI Agents

Our vision for future consumer-facing web3 UX

PreviousEVM chain history preservationNextUser-defined AI Agents

Hemera Protocol adds a web3-optimized Large Language Model (LLM) as one of the query engine options, allowing users to query on-chain data using natural language. Hemera LLM evolves its capabilities by optimizing the latest AI innovations and building on top of the web2 foundational model. The LLM capability, coupled with the account-centric indexing layer, empowers third party developers from chains, protocols, and Dapps to easily define and configure AI agents tailored to their specific needs.

As a showcase of Hemera Protocol's user-defined AI agents capabilities, a series of ecosystem AI agents are developed, allowing end users to discover the dynamic activities within each blockchain ecosystem using AI. The AI agents serve as personal junior crypto analysts to help end users monitor and discover assets and communities of interests.

For example ecosystem agents on Linea, Taiko (coming soon), BeraChain (coming soon), ZetaChain (coming soon), head to

👋
https://socialscan.io/