Moralis for Openclaw

A comprehensive Web3 data integration for agents to query blockchain balances, token prices, and NFT metadata across multiple networks.

aiwithabidi
v1.0.0
Mar 6, 2026
0
297
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install moralis

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install moralis using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is Moralis?

The Moralis skill is a robust integration designed for Openclaw Skills that provides seamless access to the Moralis Web3 API. It enables AI agents to retrieve a wide array of on-chain data, including real-time token prices, wallet transaction histories, and detailed DeFi positions. By centralizing complex blockchain queries into a single tool, it allows developers to build sophisticated financial and analytical agents without managing individual blockchain node connections.

This skill is built with portability in mind, utilizing a zero-dependency Python implementation that ensures high performance and security. Whether you are building a personal finance assistant or an automated NFT auditing tool, this addition to your Openclaw Skills library provides the necessary infrastructure to interact with decentralized networks reliably and efficiently.

Moralis Use Cases

  • Monitoring real-time cryptocurrency price fluctuations and market trends.
  • Auditing wallet transaction history and ERC-20 token transfers for compliance or reporting.
  • Retrieving NFT metadata, ownership details, and transfer records for digital asset management.
  • Resolving ENS or Unstoppable domains to facilitate user-friendly wallet interactions.
  • Tracking complex DeFi positions and protocol-specific data for investment automation.

How Moralis Works

  1. The skill is initialized using a valid Moralis API key configured in the environment variables.
  2. The AI agent triggers a specific command, such as get-token-price or get-nfts, passing required arguments like address and chain.
  3. The Python script executes a request to the Moralis Web3 API endpoints using standard libraries.
  4. The retrieved blockchain data is parsed and formatted into a structured JSON response.
  5. The agent consumes the JSON output to provide insights, generate reports, or execute further logic within Openclaw Skills.

Moralis Setup

To deploy this skill within your Openclaw Skills environment, follow these installation and configuration steps:

  1. Obtain a Moralis API key from the Moralis Dashboard.
  2. Set the environment variable on your system:
export MORALIS_API_KEY='your_api_key_here'
  1. Execute commands directly via the provided script:
python3 scripts/moralis.py get-native-balance --address <wallet_address> --chain "eth"

Moralis Data Schema & Taxonomy

The Moralis skill returns structured JSON data. Below is the metadata taxonomy for the most common responses:

Property Description
chain The blockchain network queried (e.g., eth, bsc, polygon).
address The wallet or contract address being inspected.
balance The current balance in the asset's native or decimal units.
token_id The unique identifier for NFT assets.
symbol The ticker symbol for identified ERC-20 tokens.
metadata An object containing extended attributes for NFTs and DeFi assets.

Moralis Advanced Features

  • Multi-chain support for a wide range of EVM-compatible networks including Ethereum, Polygon, and BSC.
  • Domain resolution for ENS and Unstoppable domains to bridge the gap between human-readable names and hex addresses.
  • Detailed block and transaction inspection for deep forensic analysis of blockchain events.
  • Part of the AgxntSix suite, ensuring optimized performance and reliability for Openclaw Skills deployments.

SKILL.md


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