A professional financial analysis tool for AI agents providing cross-market intelligence, crypto-equity correlations, and automated risk scoring.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install cross-asset-intelligence
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 cross-asset-intelligence using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Cross-Asset Intelligence skill is a sophisticated financial research tool designed for AI agents to bridge the gap between cryptocurrency markets and traditional finance. By utilizing Openclaw Skills, developers can integrate 22 distinct analysis endpoints that cover everything from Bitcoin's correlation with the S&P 500 to detailed macroeconomic environment reports. This skill eliminates the need for traditional API keys by leveraging the x402 protocol, allowing for seamless USDC micropayments on the Base network for each request.
Built to support institutional-grade research, the skill provides varying tiers of depth. It utilizes advanced AI models like Claude Haiku, Sonnet, and Opus to interpret raw data from authoritative sources such as FRED, CoinGecko, and Twelve Data. This ensures that agents don't just receive numbers, but actionable financial intelligence with high transparency and data freshness.
To integrate this with your agent using Openclaw Skills, you must configure a dedicated wallet for automated payments on the Base network. Set your 32-byte hex private key as an environment variable:
# Securely set your wallet signing key
export WALLET_SIGNING_KEY="your_private_key_here"
Ensure your agent's wallet is funded with USDC on Base to cover the per-request pricing tiers.
The skill returns structured JSON data with the following consistent schema:
| Property | Description |
|---|---|
| core_analysis | The primary data payload (e.g., correlation coefficients or risk scores). |
| upgrade_available | Links to higher-tier endpoints with more advanced AI analysis. |
| meta.data_sources | Transparent list of data providers used for the specific request. |
| meta.data_freshness | Timestamp indicating the last update of the underlying market data. |
| disclaimer | A standard financial disclaimer indicating data is for informational purposes only. |
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