Skip to main content

​
Overview

Updates an existing entity’s attributes and data. This endpoint automatically triggers a re-evaluation of the entity’s risk score and emits real-time update events.

​
Endpoint

PATCH http://api.gu1.ai/entities/{id}

​
Authentication

Requires a valid API key in the Authorization header: 
Authorization: Bearer YOUR_API_KEY

​
Path Parameters

​
id
string
required
The gu1 ID of the entity to update

​
Request Body

All fields from the create schema are available except type (entity type cannot be changed). All fields are optional - only include the fields you want to update.
​
name
string
Update the entity’s display name
​
externalId
string
Update your external identifier
​
taxId
string
Update tax identification number
​
countryCode
string
Update ISO 3166-1 alpha-2 country code
​
attributes
object
Update custom attributes (merges with existing attributes)
​
entityData
object
Update type-specific data (merges with existing entityData)

​
Response

​
entity
object
The updated entity object with all current values
​
evaluation
object
Newly created evaluation triggered by the update
  • id - Evaluation ID
  • entityId - Entity ID
  • decision - “PENDING” (awaiting processing)
  • evaluationType - “SYSTEM”
  • reasons - Array with “Re-evaluation triggered by attribute change”
​
previousEntity
object
The entity state before the update (for audit/comparison)

​
Behavior

When you update an entity, the system automatically:
  1. Records the change in the entity events log with a before/after snapshot
  2. Triggers re-evaluation to recalculate risk score based on new data
  3. Emits real-time event to notify connected clients of the update
  4. Maintains audit trail for compliance and review purposes

​
Examples

​
Update Person Income

curl -X PATCH http://api.gu1.ai/entities/550e8400-e29b-41d4-a716-446655440000 \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "entityData": {
      "person": {
        "income": 95000,
        "occupation": "Senior Software Engineer"
      }
    }
  }'

​
Update Company Information

curl -X PATCH http://api.gu1.ai/entities/660e9511-f39c-52e5-b827-557766551111 \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "entityData": {
      "company": {
        "employeeCount": 75,
        "revenue": 7500000
      }
    },
    "attributes": {
      "partnershipTier": "platinum",
      "monthlyVolume": 500000
    }
  }'

​
Update Custom Attributes Only

curl -X PATCH http://api.gu1.ai/entities/550e8400-e29b-41d4-a716-446655440000 \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "attributes": {
      "accountTier": "premium",
      "loyaltyPoints": 15000,
      "lastLoginDate": "2024-10-03T14:00:00Z"
    }
  }'

​
Update Transaction Status

curl -X PATCH http://api.gu1.ai/entities/770f0622-g40d-63f6-c938-668877662222 \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "entityData": {
      "transaction": {
        "status": "reviewed",
        "flagged": false
      }
    }
  }'

​
Response Example

{
  "entity": {
    "id": "550e8400-e29b-41d4-a716-446655440000",
    "externalId": "customer_12345",
    "organizationId": "8e2f89ab-c216-4eb4-90eb-ca5d44499aaa",
    "type": "person",
    "name": "María González",
    "taxId": "20-12345678-9",
    "countryCode": "AR",
    "riskScore": 22,
    "riskFactors": [...],
    "status": "active",
    "kycVerified": true,
    "entityData": {
      "person": {
        "firstName": "María",
        "lastName": "González",
        "dateOfBirth": "1985-03-15",
        "nationality": "AR",
        "occupation": "Senior Software Engineer",
        "income": 95000
      }
    },
    "attributes": {
      "email": "[email protected]",
      "phone": "+54 11 1234-5678",
      "accountTier": "premium"
    },
    "createdAt": "2024-10-03T14:30:00.000Z",
    "updatedAt": "2024-10-03T16:45:00.000Z",
    "deletedAt": null
  },
  "evaluation": {
    "id": "eval_new_123",
    "entityId": "550e8400-e29b-41d4-a716-446655440000",
    "decision": "PENDING",
    "evaluationType": "SYSTEM",
    "reasons": ["Re-evaluation triggered by attribute change"],
    "rules": [],
    "entitySnapshot": {...}
  },
  "previousEntity": {
    "id": "550e8400-e29b-41d4-a716-446655440000",
    "entityData": {
      "person": {
        "occupation": "Software Engineer",
        "income": 85000
      }
    },
    "updatedAt": "2024-10-03T14:35:00.000Z"
  }
}

​
Error Responses

​
404 Not Found

{
  "error": "Entity not found"
}

​
400 Bad Request - Invalid Data

{
  "error": "Validation failed",
  "details": ["Invalid country code format"]
}

​
401 Unauthorized

{
  "error": "Invalid or missing API key"
}

​
500 Internal Server Error

{
  "error": "Failed to update entity"
}

​
Use Cases

​
Update After KYC Verification

// After completing KYC verification, update the entity
const response = await fetch(`http://api.gu1.ai/entities/${entityId}`, {
  method: 'PATCH',
  headers: {
    'Authorization': 'Bearer YOUR_API_KEY',
    'Content-Type': 'application/json'
  },
  body: JSON.stringify({
    attributes: {
      kycVerified: true,
      kycVerificationDate: new Date().toISOString(),
      kycProvider: 'manual_review'
    }
  })
});

​
Progressive Profile Enrichment

# Enrich customer profile as more information becomes available
def update_customer_info(entity_id, new_data):
    response = requests.patch(
        f'http://api.gu1.ai/entities/{entity_id}',
        headers={
            'Authorization': 'Bearer YOUR_API_KEY',
            'Content-Type': 'application/json'
        },
        json={
            'entityData': {
                'person': new_data
            },
            'attributes': {
                'lastDataUpdate': datetime.now().isoformat(),
                'dataCompleteness': calculate_completeness(new_data)
            }
        }
    )
    return response.json()

​
Transaction Resolution

// Mark a flagged transaction as resolved after investigation
async function resolveTransaction(txnId, resolution) {
  const response = await fetch(`http://api.gu1.ai/entities/${txnId}`, {
    method: 'PATCH',
    headers: {
      'Authorization': 'Bearer YOUR_API_KEY',
      'Content-Type': 'application/json'
    },
    body: JSON.stringify({
      entityData: {
        transaction: {
          status: 'resolved',
          flagged: false
        }
      },
      attributes: {
        resolutionDate: new Date().toISOString(),
        resolutionNotes: resolution,
        reviewedBy: 'compliance_team'
      }
    })
  });

  return response.json();
}

​
Best Practices

  1. Partial Updates: Only send the fields you want to change - no need to send the entire entity
  2. Monitor Re-evaluations: Check the returned evaluation ID to track risk score recalculation
  3. Audit Trail: Use the previousEntity in the response to maintain change history
  4. Real-time Sync: Updates emit WebSocket events for real-time UI synchronization
  5. Idempotency: Safe to retry - updates with same data will not create duplicate events

​
Next Steps