mercury-banking
Mercury banking API integration — accounts, balances, transactions, financial summaries, AI transaction categorization, and cash flow analysis. The only Mercury banking skill on ClawHub. Use for business banking, financial tracking, and expense management.
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/aiwithabidi/mercury-banking🏦 Mercury Banking
Mercury banking API integration for OpenClaw agents. Manage accounts, transactions, cash flow, and get AI-powered financial insights.
Requirements
| Variable | Required | Description |
|---|---|---|
MERCURY_API_KEY | ✅ | Mercury API token (get one) |
OPENROUTER_API_KEY | Optional | For AI categorization and summaries |
Quick Start
# List all accounts and balances
python3 {baseDir}/scripts/mercury_api.py accounts
# Recent transactions
python3 {baseDir}/scripts/mercury_api.py transactions <account_id>
# Transactions with date filter
python3 {baseDir}/scripts/mercury_api.py transactions <account_id> --start 2026-01-01 --end 2026-01-31
# Search transactions
python3 {baseDir}/scripts/mercury_api.py transactions <account_id> --search "Stripe"
# Cash flow analysis
python3 {baseDir}/scripts/mercury_api.py cashflow <account_id> --days 30
# AI categorize transactions
python3 {baseDir}/scripts/mercury_api.py categorize <account_id> --days 30
# Financial summary
python3 {baseDir}/scripts/mercury_api.py summary <account_id> --period weekly
Commands
accounts
Lists all Mercury accounts with current balances, account type, and status.
transactions <account_id>
Fetch transactions with optional filters:
--start YYYY-MM-DD/--end YYYY-MM-DD— date range--search "term"— filter by counterparty or description--limit N— max results (default 50)--status pending|sent|cancelled|failed— filter by status
cashflow <account_id>
Analyze cash flow over a period:
--days N— lookback period (default 30)- Shows total inflows, outflows, net, daily average, burn rate
categorize <account_id>
AI-powered transaction categorization (requires OPENROUTER_API_KEY):
--days N— lookback period (default 30)- Groups transactions into categories (payroll, SaaS, revenue, etc.)
- Outputs category totals and percentages
summary <account_id>
Generate financial summary:
--period weekly|monthly— summary period- Includes top expenses, revenue sources, cash position, trends
Mercury API Notes
- Base URL:
https://api.mercury.com/api/v1 - Auth: Bearer token in Authorization header
- Rate limits: Be mindful of API limits; the script handles pagination automatically
- Sandbox: Mercury provides a sandbox environment for testing
Credits
Built by M. Abidi | agxntsix.ai YouTube | GitHub Part of the AgxntSix Skill Suite for OpenClaw agents.
📅 Need help setting up OpenClaw for your business? Book a free consultation
Metadata
Not sure this is the right skill?
Describe what you want to build — we'll match you to the best skill from 16,000+ options.
Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-aiwithabidi-mercury-banking": {
"enabled": true,
"auto_update": true
}
}
}Related Skills
agent-memory
Full AI agent memory stack — Mem0 unified memory engine with vector search (Qdrant) and knowledge graph (Neo4j), plus SQLite for structured data. Complete setup script and tools. Give your OpenClaw agent a real brain with semantic recall, entity relationships, and structured storage.
skill-auditor
Security audit and quarantine system for third-party OpenClaw skills. Use when evaluating, reviewing, or installing any skill from ClawHub or external sources. Automatically triggered before any skill installation.
Model Intel
Live LLM model intelligence and pricing from OpenRouter
deep-search
Multi-tier Perplexity search with Langfuse tracing. Three depth levels: quick (sonar), pro (sonar-pro), deep (sonar-reasoning-pro). Supports focus modes: internet, academic, news, youtube, reddit. Returns AI-synthesized answers with citations. Use for research, comparisons, market analysis, fact-checking. Triggers: search, research, look up, find out, compare, what is, deep search, web research.
amplitude
Amplitude product analytics — track events, analyze user behavior, run cohort analysis, manage user properties, and query funnel/retention data via the Amplitude API. Understand product usage, measure feature adoption, and analyze user journeys. Built for AI agents — Python stdlib only, zero dependencies. Use for product analytics, user behavior tracking, funnel analysis, retention analysis, and cohort segmentation.