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:
ποΈ 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
}
}π§ Model Operations APIs
Fine-Tune Generative Models
POST /api/fine-tune
Customize models using your datasets with granular parameter control.
Request Body:
Response:
π 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:
βοΈ Integration APIs
Webhook Configuration
POST /api/integrations/webhooks
Configure real-time event notifications.
Request Body:
Usage Notes:
Authentication: All endpoints require
Authorization: Bearer <API_KEY>Rate Limits: Tiered based on subscription plan (Enterprise: 1000 req/min)
Webhook Events: Includes
data_uploaded,fine_tuning_complete,compliance_violation
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