An AI-powered connector for querying comprehensive blockchain wallet data, token prices, and DeFi analytics via the Zerion API.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install zerion-api-skill-2
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install zerion-api-skill-2 using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Zerion API skill enables AI agents to access deep on-chain insights including portfolio valuations, transaction histories, and complex DeFi positions. As a core part of the Openclaw Skills ecosystem, it allows developers to build sophisticated crypto dashboards and research tools directly within their AI coding environment. This skill bridges the gap between raw blockchain data and actionable intelligence, supporting EVM and Solana addresses for a multi-chain view.
By leveraging Openclaw Skills like this one, users can automate the monitoring of wallet PnL, track NFT floor prices, and analyze fungible asset market data. The integration uses the Model Context Protocol (MCP) to ensure seamless communication between the AI agent and Zerion's robust data infrastructure.
To use this within the Openclaw Skills framework, you must first obtain an API key from the Zerion developer dashboard.
# The skill connects to the hosted MCP server at:
https://developers.zerion.io/mcp
When prompted by the agent, provide your API key. In your custom artifacts, include the server in your configuration:
mcp_servers: [
{ type: "url", url: "https://developers.zerion.io/mcp", name: "zerion-mcp" }
]
| Category | Data Points Provided |
|---|---|
| Portfolio | Total value, daily change (%), chain distribution, position types. |
| Positions | Token balances, protocol-specific metadata (LP, Staked), price per unit. |
| Transactions | Operation types (trade, send, mint), timestamps, chain IDs, gas fees. |
| PnL | Realized/unrealized gains, net invested, fees using FIFO methodology. |
| NFTs | Floor prices, collection names, acquisition dates, image metadata. |
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