POST
/
v1
/
issuing
/
risks
curl --request POST \
  --url https://api.sandbox.sardine.ai/v1/issuing/risks \
  --header 'Authorization: Basic <encoded-value>' \
  --header 'Content-Type: application/json' \
  --data '{
  "sessionKey": "972ae59c-a792-4123-a31e-b6311ef22f49",
  "customerId": "1a9ea105-2f59-4737-b4c2-3c5a8926ff8e",
  "partnerId": "59b8d327-97a6-4a6b-9436-6706ecec6325",
  "customer": {
    "accountAgeInDays": 325
  },
  "transaction": {
    "id": "2964c6d5-4e3f-484e-958f-44536c5d11e3",
    "createdAtMillis": 1605827465000,
    "amount": 12.34,
    "currencyCode": "USD",
    "type": "purchase",
    "merchant": {
      "id": "526567789012346",
      "mcc": "5411",
      "name": "SuperFoods CA USA"
    },
    "terminal": {
      "id": "36881001",
      "type": "pos_terminal",
      "operator": "customer_operated",
      "onPremise": true,
      "pinCapability": true
    },
    "address": {
      "street1": "3865 Jasmine Circle",
      "city": "San Jose",
      "regionCode": "CA",
      "postalCode": "95135",
      "countryCode": "US"
    },
    "entryInfo": {
      "pan": "contactless",
      "pinEntered": true,
      "card": "card_present",
      "cardHolder": "customer_present"
    },
    "validation": {
      "avsZip": "nodata",
      "avsStreet": "nodata",
      "cvv": "match"
    },
    "fraudScore": {
      "networkScore": 253,
      "partnerScore": 21,
      "reason": "SUSPICIOUS_ACTIVITY|LOW_TRANSACTIONS"
    },
    "foreignTransaction": false,
    "recurring": false,
    "note": "SUPERFOODS 94715",
    "accountBalance": 123.23,
    "status": "attempt"
  },
  "card": {
    "id": "cc15ad54-f71e-4245-85f6-6707faf408bc",
    "network": "mastercard",
    "balance": 235,
    "balanceCurrencyCode": "USD",
    "isVirtual": false
  },
  "checkpoints": [
    "issuingrisk"
  ]
}'
{
  "status": "success",
  "sessionKey": "972ae59c-a792-4123-a31e-b6311ef22f49",
  "level": "low",
  "amlLevel": "high",
  "score": 89,
  "checkpoints": {
    "issuingrisk": {
      "riskLevel": {
        "value": "high",
        "ruleIds": [
          123
        ]
      }
    }
  },
  "rules": [
    {
      "id": 123,
      "isLive": true,
      "isAllowlisted": true,
      "name": "Rule name #1"
    },
    {
      "id": 124,
      "isLive": true,
      "isAllowlisted": false,
      "name": "Rule name #2"
    }
  ],
  "reasonCodes": [
    "ALWR"
  ]
}

Authorizations

Authorization
string
headerrequired

Basic authentication header of the form Basic <encoded-value>, where <encoded-value> is the base64-encoded string username:password.

Body

application/json
sessionKey
string
required

unique identifier for the given customer session on your platform, generated by your service. We expect it to be short-lived (e.g. expires after 30 min)

customerId
string
required

Id of customer. Please use the same value you sent to v1/customers API

customer
object
partnerId
string

ID of the partner/business/merchant this event is tied to

partnerName
string

Name of the partner/business/merchant this event is tied to

transaction
object
required
card
object
checkpoints
string[]

Name of the checkpoints to be invoked. Defaults to issuingrisk if omitted. You can pass custom checkpoint names after they are created. Please discuss with Sardine. Example: ["issuingrisk"]

customString
object

Key-value pair for string type custom fields to be made available in the dashboard and rule editor. Example: ”customerSegment”:”premium”

customBool
object

Key-value pair for boolean type custom fields to be made available in the dashboard and rule editor. Example: ”verifiedCustomer": true

customNumber
object

Key-value pair for number type custom fields to be made available in the dashboard and rule editor. Example: ”internalRiskScore": 57

purchaseVerification
object

Information about the purchase verification message sent to the cardholder and channel.

Response

200 - application/json
status
string

Status of the API response

sessionKey
string

Unique identifier for the given customer session as provided by you in the API request payload

level
string

Risk level like very_high, high, medium and low

amlLevel
string

AML risk level like high, medium and low.

score
number

ML Risk Score for this particular transaction. The ML model used to predict the score is trained on various features and can be used once sufficient data and feedback have been provided.

rules
object[]

List of live and shadow rules that triggered for this session

checkpoints
object

Result of rule evaluations for each checkpoint. issuingrisk checkpoint is executed by default.

reasonCodes
string[]

List of reason codes returned for this session (it is omitted if empty). Example: ALWR