Integrate MicroMonitor into your applications and workflows
The MicroMonitor API provides programmatic access to server monitoring data. All public endpoints are rate-limited to 60 requests per minute per IP address.
Base URL: https://claude.dwyer.co.za/api/v1
Get current server status and metrics
{
"status": "healthy",
"timestamp": "2025-07-25T18:00:00.000Z",
"current": {
"cpu": {
"usage": "23.45",
"load": [0.5, 0.6, 0.7]
},
"memory": {
"usage": "45.67",
"available": 4096,
"total": 8192
},
"disk": {
"usage": "67.89",
"available": 50000,
"total": 100000
},
"uptime": 1234567
},
"averages": {
"cpu": "25.30",
"memory": "48.20"
},
"links": {
"documentation": "https://claude.dwyer.co.za/api-docs",
"status_page": "https://claude.dwyer.co.za/status/demo"
}
}
Simple health check endpoint
{
"status": "ok",
"service": "MicroMonitor",
"version": "1.0.0",
"timestamp": "2025-07-25T18:00:00.000Z"
}
Monitor your server from the command line:
#!/bin/bash # Check server status curl https://claude.dwyer.co.za/api/v1/status | jq '.status' # Get CPU usage curl https://claude.dwyer.co.za/api/v1/status | jq '.current.cpu.usage' # Health check curl https://claude.dwyer.co.za/api/v1/health
Integrate MicroMonitor into your Python applications:
import requests
import json
# Get server status
response = requests.get('https://claude.dwyer.co.za/api/v1/status')
data = response.json()
if data['status'] == 'healthy':
print(f"Server is healthy! CPU: {data['current']['cpu']['usage']}%")
else:
print(f"Warning: Server status is {data['status']}")
# Monitor continuously
import time
while True:
response = requests.get('https://claude.dwyer.co.za/api/v1/status')
data = response.json()
print(f"CPU: {data['current']['cpu']['usage']}% | Memory: {data['current']['memory']['usage']}%")
time.sleep(30) # Check every 30 seconds
Use MicroMonitor in your Node.js applications:
const axios = require('axios');
// Async function to check server status
async function checkServerStatus() {
try {
const response = await axios.get('https://claude.dwyer.co.za/api/v1/status');
const data = response.data;
console.log(`Server Status: ${data.status}`);
console.log(`CPU Usage: ${data.current.cpu.usage}%`);
console.log(`Memory Usage: ${data.current.memory.usage}%`);
// Alert if CPU is high
if (parseFloat(data.current.cpu.usage) > 80) {
console.warn('⚠️ High CPU usage detected!');
}
} catch (error) {
console.error('Failed to fetch server status:', error.message);
}
}
// Check every minute
setInterval(checkServerStatus, 60000);
Monitor your server in CI/CD pipelines:
name: Server Health Check
on:
schedule:
- cron: '*/30 * * * *' # Every 30 minutes
workflow_dispatch:
jobs:
health-check:
runs-on: ubuntu-latest
steps:
- name: Check Server Status
run: |
STATUS=$(curl -s https://claude.dwyer.co.za/api/v1/status | jq -r '.status')
echo "Server status: $STATUS"
if [ "$STATUS" != "healthy" ]; then
echo "::error::Server is not healthy!"
exit 1
fi
- name: Check Resource Usage
run: |
RESPONSE=$(curl -s https://claude.dwyer.co.za/api/v1/status)
CPU=$(echo $RESPONSE | jq -r '.current.cpu.usage')
MEMORY=$(echo $RESPONSE | jq -r '.current.memory.usage')
echo "CPU: $CPU% | Memory: $MEMORY%"
Display real-time status badges in your README or website:
Generate SVG status badge for embedding

<img src="https://claude.dwyer.co.za/api/badge/1ewxbj3gc5j" alt="Server Status">
Public API endpoints are rate-limited to ensure fair usage: