moonbanking

What This Skill Does

The moonbanking skill provides a comprehensive bridge to the Moon Banking API, granting your OpenClaw agent deep, real-time insights into global banking infrastructure. It allows for the programmatic retrieval of exhaustive data points covering thousands of banks across every country on Earth. Beyond basic contact information, this skill surfaces complex datasets including customer sentiment scores, transparency metrics, crypto-friendliness ratings, and digital experience reviews. Whether you are performing competitive market analysis, vetting a bank for international operations, or conducting high-level research into financial transparency, this skill provides the underlying data architecture required to make informed decisions.

Installation

To integrate this skill, ensure your environment is configured for the OpenClaw ecosystem. Run the following command in your terminal:

clawhub install openclaw/skills/skills/juanwall/moonbanking

Post-installation, you must authenticate by setting the MOON_BANKING_API_KEY in your environment variables. You can obtain this key by signing up for a Pro plan via the Moon Banking dashboard. Ensure your agent environment has the jq utility installed to leverage the provided formatting examples for cleaner JSON interaction.

Use Cases

• Global Market Research: Compare the 'crypto-friendliness' or 'digital experience' scores of banks across different regions to determine the best locations for fintech expansion.
• Due Diligence: Retrieve granular data on banking fees, lending, and security trust before initiating international transfers or partnerships.
• Trend Analysis: Monitor changes in banking 'stories' and votes to gauge public perception shift regarding specific financial institutions.
• Aggregated Reporting: Query the world and country-level endpoints to generate executive-level overviews of banking infrastructure performance on a macro scale.

Example Prompts

1. "Search for the top 5 most crypto-friendly banks in Germany and display their security trust scores."
2. "Can you fetch a list of all banks in Japan and filter them by their 'digitalExperience' score, showing the best performing ones first?"
3. "Summarize the current public sentiment and transparency scores for Bank of America using the latest API data."

Tips & Limitations

• Pagination: The /banks endpoint is paginated by default. If your query returns many results, utilize the starting_after and limit parameters to paginate through the full dataset systematically.
• Authentication: Always treat your API key as a secret. Do not hardcode it into scripts; use system environment variables to prevent accidental exposure.
• Data Depth: The include parameter is powerful but increases response size. Only request the specific metadata (e.g., scores, country) needed for your current task to save bandwidth and improve processing speed.