A comprehensive API for accessing global banking data, including rankings, user reviews, and crypto-friendliness scores across every country.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install moonbanking
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 moonbanking 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 Moon Banking?
The Moon Banking skill provides a direct interface to the Moon Banking API, allowing AI agents to query detailed information about financial institutions worldwide. This Openclaw Skills integration enables developers and researchers to pull real-time data on bank reputations, customer service ratings, and technical features.
By leveraging this skill, users can access an exhaustive database covering every bank on Earth, including aggregated metrics at the country and global levels. It is designed to facilitate deep financial research, competitive analysis, and consumer sentiment tracking through structured data including votes, stories, and specific performance scores.
Moon Banking Use Cases
- Comparing banks based on specific scores like crypto-friendliness, fees, or digital experience.
- Retrieving localized banking data for specific countries using ISO codes for international expansion research.
- Searching for banks by hostname to verify institutional details and reputation during due diligence.
- Analyzing global banking trends through aggregated world overview data and story counts.
- Fetching user-generated stories and votes to gauge public sentiment about specific financial services.
How Moon Banking Works
- The user provides a query related to bank data, ratings, or country-level banking insights.
- The agent utilizes curl to send an authenticated request to the Moon Banking V1 API endpoints.
- Specific query parameters like limit, sortBy, and include (scores, country, meta) are applied to refine the search.
- The raw JSON response is processed through jq to extract relevant fields such as overall_score or rank.
- The agent synthesizes the structured data into a readable summary or comparison table for the user.
Moon Banking Setup
To use this skill, you must have a Moon Banking Pro plan.
- Obtain your API key from the Moon Banking dashboard.
- Set the environment variable in your terminal or environment configuration:
export MOON_BANKING_API_KEY=your_api_key_here
- Ensure curl and jq are installed on your system to process API requests and responses efficiently.
# Verify dependencies
curl --version
jq --version
Moon Banking Data Schema & Taxonomy
The skill organizes data into several distinct entities to provide granular banking insights:
| Entity | Key Fields | Description |
|---|---|---|
| Banks | id, name, overall_score, cryptoFriendly_score | Detailed data and scores for individual banking institutions. |
| Countries | code, name, banksCount, overall_score | Aggregated data and rankings for specific nations. |
| Stories | id, bankId, thumbsUpCount, tags | User-submitted reviews and qualitative experiences. |
| Bank Votes | bankId, category, isUp, createdAt | Quantitative user sentiment tracking across various service categories. |
| World | overall_score, total_votes | Global aggregate of banking data across all monitored countries. |
Moon Banking Advanced Features
- Paginated data retrieval using starting_after and ending_before for navigating large institutional datasets.
- Complex sorting capabilities across over 20 different metrics, including innovation, transparency, and processing speed.
- Cross-entity search functionality to query banks, countries, and stories simultaneously via a single search term.
- Hostname normalization to identify banks based on web presence and primary domain aliases.
- Optional data inclusion for related scores and metadata to minimize the number of API calls required for comprehensive reports.
SKILL.md
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