API Documentation

Edge AI API Reference

Edge AI provides a comprehensive suite of RESTful APIs to programmatically interact with the platform. Below are key endpoints organized by functionality:


πŸ—„οΈ Data Management APIs

Upload Domain-Specific Data POST /api/upload Upload structured datasets for model training with built-in compliance validation. Request Body:

json{
  "dataset_name": "financial_reports_2025",
  "data_type": "text/csv",
  "data": "base64-encoded-data",
  "compliance_tags": ["GDPR", "SOX"]
}

Response:

json{
  "dataset_id": "ds_abc123",
  "validation_report": {
    "compliance_status": "passed",
    "data_quality_score": 98.7
  }
}

🧠 Model Operations APIs

Fine-Tune Generative Models POST /api/fine-tune Customize models using your datasets with granular parameter control. Request Body:

Response:


πŸ“Š Monitoring & Governance APIs

Real-Time Performance Tracking GET /api/monitoring/models/{model_id}/metrics Retrieve live performance metrics and compliance status. Response:

Compliance Validation POST /api/compliance/validate Verify outputs against regulatory requirements. Request Body:

Response:


βš™οΈ Integration APIs

Webhook Configuration POST /api/integrations/webhooks Configure real-time event notifications. Request Body:


Usage Notes:

  1. Authentication: All endpoints require Authorization: Bearer <API_KEY>

  2. Rate Limits: Tiered based on subscription plan (Enterprise: 1000 req/min)

  3. Webhook Events: Includes data_uploaded, fine_tuning_complete, compliance_violation

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