A professional-grade Solana blockchain data connector for AI agents to query accounts, transactions, tokens, and DeFi analytics via the Solscan Pro API.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install exploring-solana-with-solscan
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install exploring-solana-with-solscan 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 Solscan Pro Data Skill?
The Solscan Pro skill is a high-performance integration designed for Openclaw Skills that bridges AI agents with the Solana blockchain. It leverages the Solscan Pro V2 API to provide deep visibility into the Solana ecosystem, enabling agents to retrieve structured data for accounts, tokens, NFTs, and complex DeFi interactions.
This skill is essential for developers building agents that require real-time on-chain intelligence. Whether you are tracking whale movements, monitoring token price history, or decoding intricate transaction instructions, this tool provides the professional-grade data needed for accurate blockchain analysis and automation.
Solscan Pro Data Skill Use Cases
- Investigating Solana wallet balances, portfolios, and staking positions.
- Tracking token price history, holder concentration, and market liquidity.
- Monitoring trending tokens and newly listed pairs on Solana DEXs.
- Analyzing NFT collection activities, floor prices, and individual item history.
- Exporting DeFi activity and staking rewards for financial reporting or tax compliance.
- Inspecting transaction signatures to decode human-readable actions and instructions.
How Solscan Pro Data Skill Works
- The AI agent identifies a Solana-related query (e.g., a wallet address or transaction signature).
- The skill authenticates with the Solscan Pro API using a secure HTTP header token.
- The agent selects the appropriate tool, either the Direct API CLI for structured data or MCP Natural Language Tools for exploratory questions.
- Parameters such as filters, pagination, or time ranges are applied to the request to refine the data output.
- The skill processes the JSON response from Solscan, handling any rate limits or errors, and presents the structured on-chain data to the agent.
Solscan Pro Data Skill Setup
To use this skill, ensure you have a valid Solscan Pro API key and configure it within your environment.
# Example of using the Direct API CLI to check an account balance
python3 scripts/solscan.py account detail --address <SOLANA_ADDRESS>
# To check your API usage and limits
python3 scripts/solscan.py monitor usage
Ensure your API key is passed in the header as token: <YOUR_SOLSCAN_API_KEY> for all requests.
Solscan Pro Data Skill Data Schema & Taxonomy
The skill organizes Solana data into several key domains, each with specific metadata and response structures:
| Domain | Primary Metadata Fields |
|---|---|
| Account | Address, label, icon, tags, domain, lamports, and owner metadata. |
| Token | Name, symbol, supply, price history, and holder distributions. |
| Transaction | Signatures, balance changes, decoded instructions, and network fees. |
| NFT | Collection ID, floor prices, trade history, and listing status. |
| Market | Pool address, 24h volume, trades, and liquidity program owners. |
| Program | Success rate, active users, and interaction volume analytics. |
Solscan Pro Data Skill Advanced Features
- Support for cursor-based pagination for high-volume transaction history.
- Advanced DeFi filters for specific activities like swaps, liquidations, and bridging.
- Multi-address batch queries for account metadata and token pricing to optimize API calls.
- Historical balance change tracking with spam-removal filters for cleaner data analysis.
- Automated CSV export capabilities for staking rewards and transfer history.
- Integration with Model Context Protocol (MCP) for seamless natural language interactions.
SKILL.md
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