Authentication

Learn how to authenticate your API requests with tokens.

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Endpoints

Complete reference for all available API endpoints.

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AI Models

Access our predictive analytics and AI capabilities.

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Integrations

Connect with MRO systems like AMOS, TRAX, and SAP.

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System Architecture

Understanding how Trakt's AI-powered predictive maintenance works

TRAKT SYSTEM AI-POWERED PREDICTIVE MAINTENANCE 95% ACCURACY 2-13 WKS ADVANCE ~22% COST SAVED DATA SOURCES ACARS / ADS-B Real-time flight telemetry Sensor Telemetry Temp, vibration, pressure MRO Systems Maintenance records Pilot Reports Crew observations Weather APIs Environmental factors Tech Bulletins OEM recommendations DATA PROCESSING Ingestion Engine Feature Engineering Data Validation Normalization 99.7% Success AI CORE ENSEMBLE ENGINE Failure Prevention 95% Accuracy Component Life RUL Analysis Smart Scheduling Optimization Fleet Optimization Max Availability Parts Forecasting Supply Chain Early Warning Pattern Analysis ACTIONABLE OUTPUTS Predictive Alerts 2-13 weeks advance warning on failures RUL Estimates Remaining useful life for all components Maintenance Schedules Optimized timing for minimal disruption Parts Procurement Predictive inventory management Fleet Dashboard Real-time health visualization Cost Analytics ROI tracking and optimization insights SMART COMPONENT HEALTH MONITORING CRITICAL Immediate action needed Schedule maintenance now WARNING Wear accelerating Plan maintenance within 2 weeks MONITOR Normal wear detected Schedule at next convenient check HEALTHY Operating normally No action required FEDERATED LEARNING Privacy-preserving cross-fleet intelligence Zero proprietary data sharing between operators SECURITY TLS 1.3 + AES-256 encryption AWS GovCloud | GDPR Compliant DEPLOYMENT 4-12 weeks to production No infrastructure changes required COMPATIBILITY Boeing | Airbus | Bombardier | Embraer Universal fleet support

Data Ingestion

ACARS, ADS-B, sensor telemetry, MRO systems, pilot reports, weather data, and technical bulletins.

AI Core Processing

Ensemble AI engine with six specialized models for comprehensive predictive analytics.

Actionable Outputs

Predictive alerts, component life estimates, optimized maintenance schedules, and fleet dashboards.

Authentication

Secure your API requests with bearer token authentication

API Key Authentication

All API requests require authentication using your company API key in the Authorization header.

HTTP Header 
Authorization: Bearer YOUR_API_KEY
Content-Type: application/json
Replace YOUR_API_KEY with your actual API key from the dashboard.

Base URL & Rate Limits

All API endpoints are accessed via the base URL:

https://api.trakt.aero/v1/

Rate Limits by Plan

Read Only 1,000 requests/month
Read/Write 5,000 requests/month
Full Access 20,000 requests/month

AI Prediction Models

Six specialized AI models working together for comprehensive predictive maintenance

Early Warning System

Pattern Analysis

Spots unusual patterns in your aircraft data and alerts you before small issues become big problems.

Isolation Forest Pattern Recognition Statistical Analysis
Detection Rate: 97%

Failure Prevention

95% Accuracy

Predicts which parts are at risk and when they might fail, giving you 2-13 weeks advance warning.

Ensemble Learning Risk Assessment Trend Analysis
Advance Warning: 2-13 Weeks

Component Life Tracking

RUL Estimates

Estimates how much useful life remains in each part, so you replace things at the right time.

Survival Analysis Lifecycle Modeling Physics-Based
Estimation Accuracy: ±8%

Smart Scheduling

Cost Optimization

Recommends the best times for maintenance to minimize downtime and reduce costs.

Reinforcement Learning Schedule Optimization Resource Planning
Cost Savings: 22%

Fleet Optimization

Max Availability

Balances maintenance needs across your entire fleet to maximize aircraft availability.

Multi-Agent RL Fleet Balancing Availability Optimization
Availability Increase: +15%

Parts Forecasting

Inventory Management

Predicts what parts you'll need and when, helping you manage inventory and avoid AOG situations.

Demand Forecasting Lead Time Prediction Stock Optimization
AOG Reduction: 40%

Degradation Analysis Models

Physics-based models that understand how aircraft components wear over time

Critical Wear Model

For components showing critical health levels (≤15%). Requires immediate attention and accelerated monitoring.

Health Threshold: ≤ 15%

Accelerated Degradation

For components with accelerating wear patterns. Uses exponential decay modeling for accurate RUL prediction.

Condition Factor: > 0.7

Linear Wear Model

For components with steady, predictable wear patterns. Standard degradation rate based on usage and age.

Condition Factor: 0.3 - 0.7

Statistical Life Model

For components operating normally. Uses Weibull distribution for reliability analysis and lifecycle planning.

Condition Factor: ≤ 0.3

API Endpoints

Complete reference for all available endpoints - click to expand

Check API service status and your authentication.

Response 
{
  "status": "healthy",
  "timestamp": "2025-01-01T12:00:00Z",
  "version": "1.0.0",
  "authenticated": true,
  "company": "Demo Airlines",
  "rate_limit": {
    "remaining": 4950,
    "total": 5000,
    "reset_time": "2025-01-01T13:00:00Z"
  }
}

Get current AI model training status and performance metrics.

Response 
{
  "model_info": {
    "model_trained": true,
    "last_training_date": "2025-01-01T08:00:00Z",
    "training_data_count": 15420,
    "auto_training_enabled": true
  },
  "degradation_models": {
    "available_models": [
      "Statistical Life Model",
      "Linear Wear Model",
      "Accelerated Degradation",
      "Critical Wear Model"
    ],
    "calibrated_components": 156
  },
  "ai_models_status": {
    "early_warning_system": "ready",
    "failure_prevention": "ready",
    "component_life_tracking": "ready",
    "smart_scheduling": "ready",
    "fleet_optimization": "ready",
    "parts_forecasting": "ready"
  }
}

Retrieve all aircraft in your fleet with basic information.

Query Parameters

limit (optional) Maximum number of results (default: 50)
offset (optional) Pagination offset (default: 0)
active_only (optional) Filter for active aircraft only (default: true)
Response 
{
  "aircraft": [
    {
      "id": 1,
      "tail_number": "N123DA",
      "aircraft_type": "Boeing 737-800",
      "manufacturer": "Boeing",
      "model": "737-800",
      "year_manufactured": 2015,
      "total_flight_hours": 25000,
      "total_flight_cycles": 15000,
      "is_active": true,
      "component_count": 6,
      "average_health_score": 78.5
    }
  ],
  "total": 1,
  "limit": 50,
  "offset": 0
}

Retrieve available predictions for components with full AI analysis.

Response 
{
  "success": true,
  "predictions": [
    {
      "component_id": 1,
      "component_name": "Engine 1",
      "aircraft_tail": "N123DA",
      "health_score": 85.2,
      "remaining_useful_life_hours": 2500,
      "failure_probability_30_days": 0.08,
      "degradation_model": "Linear Wear Model",
      "ai_models_applied": [
        "Early Warning System",
        "Failure Prevention",
        "Component Life Tracking"
      ],
      "recommended_action": "Monitor",
      "confidence_score": 0.92
    }
  ]
}

Submit sensor readings for real-time analysis and prediction updates.

Request Body 
{
  "component_id": 1,
  "timestamp": "2025-01-01T12:00:00Z",
  "readings": {
    "temperature": 95.5,
    "vibration": 1.8,
    "pressure": 42.0,
    "rpm": 8500
  },
  "flight_phase": "cruise"
}
Response 
{
  "success": true,
  "data_id": 12345,
  "analysis": {
    "health_impact": "nominal",
    "anomalies_detected": false,
    "prediction_updated": true
  }
}

Export complete fleet data with all predictions for integration with external systems.

Requires Read/Write or Full Access level
Response 
{
  "success": true,
  "data": {
    "export_timestamp": "2025-01-01T12:00:00Z",
    "fleet_overview": {
      "total_aircraft": 25,
      "active_aircraft": 23,
      "total_components": 156,
      "average_health_score": 82.5
    },
    "aircraft": [...],
    "components": [...],
    "predictions_summary": {
      "total": 156,
      "critical": 3,
      "warning": 12,
      "monitor": 28,
      "healthy": 113
    }
  }
}

Why Choose Trakt?

The intelligent layer that makes your existing systems smarter

AI-First Architecture

While legacy MRO systems focus on record-keeping, Trakt was built from the ground up for predictive intelligence. Our ensemble AI models analyze patterns across your entire operation to predict failures before they happen.

Universal Connectivity

Your existing systems store valuable data but can't predict the future. Trakt connects to 50+ MRO platforms, enriches your data with AI predictions, and sends actionable insights back - no system replacement required.

Privacy-Preserving Intelligence

Benefit from industry-wide learning through our federated AI without ever sharing your proprietary data. Your maintenance patterns stay private while you gain insights from aggregate fleet intelligence.

2-13 Week Advance Warning

Traditional systems tell you what happened. Trakt tells you what's about to happen - with 95% accuracy and weeks of advance notice, giving you time to plan maintenance on your terms.

Measurable ROI

Our clients see ~22% reduction in maintenance costs, ~40% fewer AOG events, and ~15% improvement in fleet availability. Trakt pays for itself within months, not years.

Rapid Deployment

Go live in 4-12 weeks with zero infrastructure changes. Trakt works alongside your existing systems, enhancing them with predictive capabilities without disrupting your operations.

Connect Your Existing Systems to Trakt

Trakt enhances your current MRO platforms with AI-powered predictive maintenance - no system replacement needed

Your Data + Trakt's AI = Predictive Intelligence

Legacy MRO systems excel at tracking maintenance history and managing work orders, but they weren't built to predict the future. Trakt connects to your existing platforms, ingests your historical data, applies advanced AI models, and delivers actionable predictions - transforming reactive maintenance into proactive fleet management.

MRO & Maintenance Systems

Trakt pulls your maintenance records, analyzes patterns, and pushes AI-generated work order recommendations back to your system of record.

AMOS TRAX Ramco IFS Maximo OASES Ultramain Veryon EmpowerMX

Enterprise & ERP

Sync inventory levels, procurement data, and financial metrics with Trakt's parts forecasting to optimize your supply chain.

SAP S/4HANA SAP ECC Oracle

OEM Data Sources

Trakt aggregates OEM sensor data and technical bulletins to enhance prediction accuracy across all aircraft types.

Airbus Skywise Boeing AnalytX Aviatar EngineWise PWC FAST

Parts & Supply Chain

Connect your parts suppliers to Trakt's demand forecasting for automated procurement and reduced AOG risk.

Satair SmartParts AFI KLM E&M Custom API

Universal Integration API

All integrations use Trakt's standardized API endpoints. Configure your connection once, and Trakt handles the complexity of each external system.

POST /api/integrations/connect

Establish connection to any supported MRO system

POST /api/integrations/sync

Pull latest data and push Trakt predictions

GET /api/integrations/status

Check connection health and sync status

GET /api/integrations/data

Retrieve enriched data with AI predictions

Don't see your system? Trakt's Custom API connector supports any REST or SFTP-based integration. Contact us to add your MRO platform.

Error Codes

Standard HTTP status codes and error responses

Status Code Name Description
200 OK Request successful
201 Created Resource created successfully
400 Bad Request Invalid request parameters or body
401 Unauthorized Missing or invalid API key
403 Forbidden Insufficient permissions for this endpoint
404 Not Found Resource not found
429 Too Many Requests Rate limit exceeded
500 Server Error Internal server error

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Generate your API key and start integrating Trakt's predictive maintenance capabilities today.

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