Risk Assessment API

Advanced risk assessment endpoints for detailed compliance analysis

Advanced Risk Assessment

Advanced Scoring

Multi-factor risk scoring with weighted algorithms

Custom Parameters

Configurable analysis parameters for specific use cases

Deep Analysis

Multi-hop transaction analysis and pattern detection

Trend Analysis

Historical risk trend analysis and predictions

Enterprise Features

The Risk Assessment API provides advanced features for enterprise customers including custom risk models, batch processing, and real-time monitoring capabilities.

Risk Assessment Endpoints

POST/risk-assessment

5 requests/minute

Perform advanced risk assessment with custom parameters

POST/risk-assessment/batch

1 request/minute

Batch risk assessment for multiple addresses

GET/risk-assessment/{id}/trends

20 requests/minute

Get historical risk trends for an address

POST/risk-assessment/monitor

10 requests/hour

Set up real-time risk monitoring

Advanced Parameters

Parameter	Type	Required	Description	Example
addresses	array	Required	Array of wallet addresses to assess	["0x123...", "0x456..."]
networks	array	Required	Corresponding blockchain networks	["ethereum", "bitcoin"]
risk_model	string	Optional	Risk model to use (standard, enhanced, custom)	enhanced
analysis_depth	integer	Optional	Transaction hop depth (1-10, default: 5)	7
time_range	object	Optional	Time range for analysis	{"start": "2024-01-01", "end": "2025-01-01"}
include_predictions	boolean	Optional	Include risk trend predictions	true

Enhanced Response Format

Advanced Risk Assessment Response

{
  "assessment_id": "risk_9876543210",
  "timestamp": "2025-01-15T10:30:00Z",
  "model_version": "enhanced_v2.1",
  "results": [
    {
      "address": "0x742d35Cc6634C0532925a3b8D4C9db4C9db4C9db",
      "network": "ethereum",
      "risk_score": 15,
      "risk_level": "low",
      "confidence": 0.95,
      "factors": {
        "transaction_patterns": {
          "score": 10,
          "weight": 0.3,
          "details": "Regular transaction patterns"
        },
        "counterparty_risk": {
          "score": 5,
          "weight": 0.4,
          "details": "Low-risk counterparties"
        },
        "compliance_indicators": {
          "score": 20,
          "weight": 0.3,
          "details": "Good compliance history"
        }
      },
      "trends": {
        "30_day_change": -2,
        "90_day_change": +1,
        "predicted_30_day": 14
      },
      "recommendations": [
        {
          "type": "monitoring",
          "priority": "low",
          "description": "Continue regular monitoring"
        }
      ]
    }
  ],
  "metadata": {
    "total_addresses": 1,
    "processing_time": 4.7,
    "data_freshness": "2025-01-15T10:25:00Z"
  }
}