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
Powered by GitBook
On this page
  1. Developer Resources
  2. EVM-compatible chains

Ecosystem AI Agents

Hemera's Ecosystem AI Agents are agents that interact with end users through LLM, allowing them to discover the latest trends within each ecosystem with Hemera's real-time on-chain intelligence.

To create an Ecosystem AI agent on Hemera, creators can follow these steps:

  • Select a chain that is currently supported by Hemera.

  • Submit project deployed addresses within the ecosystem.

  • Submit contract addresses of launched assets.

Access the agent on https://socialscan.io

PreviousBlockchain explorersNextDapp developers

Last updated 4 months ago

👩‍💻