Analytics & Monitoring

Comprehensive observability for your AI-powered API integrations

MCPify provides enterprise-grade analytics and monitoring to give you complete visibility into your AI integration performance, usage patterns, and costs. Track everything from individual API calls to system-wide trends with our real-time dashboard.

Key Performance Metrics

Request Metrics

• Total API calls per minute/hour/day
• Success vs failure rates
• Error distribution by type
• Request volume by tool/endpoint
• Peak usage times and patterns

Performance Metrics

• End-to-end latency (P50/P95/P99)
• Gateway processing time
• Downstream API response times
• Cache hit rates and effectiveness
• Queue depth and processing delays

Token & Cost Analytics

• Token consumption by model
• Cost per request/tool/user
• Token efficiency metrics
• Budget tracking and alerts
• ROI calculations per integration

Usage Analytics

• Active users and sessions
• Tool usage frequency
• User journey analysis
• Geographic distribution
• Agent type breakdown

Real-time Dashboard

Dashboard Features

Time Series Visualization

Interactive charts showing trends over customizable time ranges with drill-down capabilities

Distribution Analysis

Breakdown of usage by tool, endpoint, user segment, and error types

Custom KPIs

Define and track business-specific metrics with configurable thresholds

Intelligent Alerts

Anomaly detection and proactive alerting for performance degradation

// Accessing the dashboard
https://dashboard.mcpify.org

// API for programmatic access
GET https://api.mcpify.org/v1/analytics/metrics
Authorization: Bearer YOUR_API_KEY

// Example response
{
  "period": "2024-01-15T00:00:00Z/2024-01-15T23:59:59Z",
  "metrics": {
    "requests": {
      "total": 145892,
      "success": 144321,
      "failure": 1571,
      "success_rate": 0.989
    },
    "latency": {
      "p50": 124,
      "p95": 487,
      "p99": 1203
    },
    "tokens": {
      "input": 5823419,
      "output": 2341892,
      "total_cost_usd": 84.32
    },
    "cache": {
      "hits": 98234,
      "misses": 47658,
      "hit_rate": 0.673
    }
  }
}

Monitoring & Alerting

Health Monitoring

Continuous health checks ensure your integrations are always available

# Health check configuration
{
  "healthChecks": {
    "gateway": {
      "interval": "30s",
      "timeout": "5s",
      "unhealthyThreshold": 2
    },
    "downstream": {
      "interval": "60s",
      "timeout": "10s",
      "retries": 3
    }
  },
  "alerts": [
    {
      "name": "High Error Rate",
      "condition": "error_rate > 0.05",
      "window": "5m",
      "channels": ["email", "slack", "pagerduty"]
    },
    {
      "name": "Latency Spike",
      "condition": "p99_latency > 2000ms",
      "window": "1m",
      "channels": ["slack"]
    }
  ]
}

Alert Channels

Supported Integrations

• Email notifications
• Slack webhooks
• PagerDuty integration
• Webhook endpoints
• SMS via Twilio

Alert Types

• Performance degradation
• Error threshold exceeded
• Rate limit approaching
• Budget alerts
• Security incidents

Advanced Analytics Features

AI-Powered Insights

Machine learning models analyze your usage patterns to provide actionable insights

Anomaly detection for unusual traffic patterns
Predictive scaling recommendations
Cost optimization suggestions
Performance bottleneck identification
Usage trend forecasting

Custom Reports & Exports

Generate detailed reports for stakeholders and compliance

# Generate monthly usage report
POST https://api.mcpify.org/v1/analytics/reports
{
  "type": "monthly_usage",
  "period": "2024-01",
  "format": "pdf",
  "metrics": [
    "requests",
    "tokens",
    "costs",
    "errors",
    "latency"
  ],
  "groupBy": ["tool", "user", "day"],
  "recipients": ["[email protected]"]
}

Data Retention & Privacy

Data Policies

Metrics Retention: 90 days of detailed metrics, 2 years of aggregated data
Log Retention: 30 days of detailed logs, configurable per tier
Privacy Compliance: GDPR and CCPA compliant with data anonymization
Data Export: Full data export available in JSON, CSV, or Parquet formats
Right to Deletion: Complete data purge available upon request

External Integrations

Observability Platforms

• Datadog integration via API
• New Relic APM support
• Grafana dashboards
• Prometheus metrics export
• Splunk forwarder

Business Intelligence

• Tableau connector
• Power BI integration
• Looker custom views
• BigQuery export
• Snowflake data share

Analytics API Reference

# List available metrics
GET /v1/analytics/metrics/catalog

# Get real-time metrics
GET /v1/analytics/metrics/realtime

# Query historical data
POST /v1/analytics/query
{
  "metrics": ["requests", "latency_p99", "error_rate"],
  "dimensions": ["tool", "hour"],
  "filters": {
    "tool": ["crm_*"],
    "time_range": "last_7_days"
  },
  "granularity": "hour"
}

# Get cost breakdown
GET /v1/analytics/costs?period=2024-01&groupBy=tool,model

# Export data
POST /v1/analytics/export
{
  "format": "parquet",
  "destination": "s3://my-bucket/analytics/",
  "period": "2024-01"
}

Analytics Best Practices

✅ Recommended Practices

• Set up alerts for critical thresholds before issues occur
• Use custom dimensions to track business-specific metrics
• Regularly review cost analytics to optimize usage
• Export data to your data warehouse for long-term analysis
• Create dashboards for different stakeholder groups
• Monitor cache hit rates to optimize performance
• Track error patterns to identify integration issues early