API Reference

Customers

Review

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Review a customer's identity results

client.customers.review.get(stringid, ReviewGetParams { correlationID, requestID, straddleAccountID } params?, RequestOptionsoptions?): CustomerReviewV1 { data, meta, response_type }

get/v1/customers/{id}/review

Retrieves and analyzes the results of a customer's identity validation and fraud score. This endpoint provides a comprehensive breakdown of the validation outcome, including:

• Risk and correlation scores
• Reason codes for the decision
• Results of watchlist screening
• Any network alerts detected Use this endpoint to gain insights into the verification process and make informed decisions about customer onboarding.

ParametersExpand Collapse

id: string

params: ReviewGetParams { correlationID, requestID, straddleAccountID }

correlationID?: string

Optional client generated identifier to trace and debug a series of requests.

requestID?: string

Optional client generated identifier to trace and debug a request.

straddleAccountID?: string

For use by platforms to specify an account id and set scope of a request.

formatuuid

ReturnsExpand Collapse

CustomerReviewV1 { data, meta, response_type }

data: Data { customer_details, identity_details }

customer_details: CustomerDetails { id, created_at, email, 11 more }

id: string

Unique identifier for the customer.

formatuuid

created_at: string

Timestamp of when the customer record was created.

formatdate-time

email: string

The customer's email address.

formatemail

name: string

Full name of the individual or business name.

phone: string

The customer's phone number in E.164 format.

status: "pending" | "review" | "verified" | 2 more

Accepts one of the following:

"pending"

"review"

"verified"

"inactive"

"rejected"

type: "individual" | "business"

Accepts one of the following:

"individual"

"business"

updated_at: string

Timestamp of the most recent update to the customer record.

formatdate-time

address?: CustomerAddressV1 { address1, city, state, 2 more } | null

An object containing the customer's address. This is optional, but if provided, all required fields must be present.

address1: string

Primary address line (e.g., street, PO Box).

maxLength100

city: string

City, district, suburb, town, or village.

maxLength100

state: string

Two-letter state code.

zip: string

Zip or postal code.

address2?: string | null

Secondary address line (e.g., apartment, suite, unit, or building).

maxLength100

compliance_profile?: IndividualComplianceProfile { dob, ssn } | BusinessComplianceProfile { ein, legal_business_name, representatives, website } | null

PII required to trigger Patriot Act compliant KYC verification.

Accepts one of the following:

IndividualComplianceProfile { dob, ssn }

PII required to trigger Patriot Act compliant KYC verification.

dob: string | null

Masked date of birth in ****-- format.

formatdate

ssn: string | null

Masked Social Security Number in the format --***.

BusinessComplianceProfile { ein, legal_business_name, representatives, website }

Business registration data required to trigger Patriot Act compliant KYB verification.

ein: string | null

Masked Employer Identification Number in the format -*****

legal_business_name: string | null

The official registered name of the business. This name should be correlated with the ein value.

representatives?: Array<Representative> | null

A list of people related to the company. Only valid where customer type is 'business'.

name: string

email?: string | null

phone?: string | null

website?: string | null

Official business website URL. Optional but recommended for enhanced KYB.

formaturi

config?: Config { processing_method, sandbox_outcome }

processing_method?: "inline" | "background" | "skip"

Accepts one of the following:

"inline"

"background"

"skip"

sandbox_outcome?: "standard" | "verified" | "rejected" | "review"

Accepts one of the following:

"standard"

"verified"

"rejected"

"review"

device?: Device { ip_address }

ip_address: string

The customer's IP address at the time of profile creation. Use 0.0.0.0 to represent an offline customer registration.

minLength1

formatipv4

external_id?: string | null

Unique identifier for the customer in your database, used for cross-referencing between Straddle and your systems.

metadata?: Record<string, string> | null

Up to 20 additional user-defined key-value pairs. Useful for storing additional information about the customer in a structured format.

identity_details?: IdentityDetails { breakdown, created_at, decision, 7 more }

breakdown: Breakdown { address, business_evaluation, business_identification, 5 more }

Detailed breakdown of the customer verification results, including decisions, risk scores, correlation score, and more.

address?: IdentityVerificationBreakdownV1 { codes, correlation, correlation_score, 2 more }

codes?: Array<string> | null

List of specific result codes from the fraud and risk screening.

correlation?: "low_confidence" | "potential_match" | "likely_match" | "high_confidence"

Accepts one of the following:

"low_confidence"

"potential_match"

"likely_match"

"high_confidence"

correlation_score?: number | null

Represents the strength of the correlation between provided and known information. A higher score indicates a stronger correlation.

formatdouble

decision?: "accept" | "reject" | "review"

Accepts one of the following:

"accept"

"reject"

"review"

risk_score?: number | null

Predicts the inherent risk associated with the customer for a given module. A higher score indicates a greater likelihood of fraud.

formatdouble

business_evaluation?: IdentityVerificationBreakdownV1 { codes, correlation, correlation_score, 2 more }

codes?: Array<string> | null

List of specific result codes from the fraud and risk screening.

correlation?: "low_confidence" | "potential_match" | "likely_match" | "high_confidence"

Accepts one of the following:

"low_confidence"

"potential_match"

"likely_match"

"high_confidence"

correlation_score?: number | null

Represents the strength of the correlation between provided and known information. A higher score indicates a stronger correlation.

formatdouble

decision?: "accept" | "reject" | "review"

Accepts one of the following:

"accept"

"reject"

"review"

risk_score?: number | null

Predicts the inherent risk associated with the customer for a given module. A higher score indicates a greater likelihood of fraud.

formatdouble

business_identification?: IdentityVerificationBreakdownV1 { codes, correlation, correlation_score, 2 more }

codes?: Array<string> | null

List of specific result codes from the fraud and risk screening.

correlation?: "low_confidence" | "potential_match" | "likely_match" | "high_confidence"

Accepts one of the following:

"low_confidence"

"potential_match"

"likely_match"

"high_confidence"

correlation_score?: number | null

Represents the strength of the correlation between provided and known information. A higher score indicates a stronger correlation.

formatdouble

decision?: "accept" | "reject" | "review"

Accepts one of the following:

"accept"

"reject"

"review"

risk_score?: number | null

Predicts the inherent risk associated with the customer for a given module. A higher score indicates a greater likelihood of fraud.

formatdouble

business_validation?: IdentityVerificationBreakdownV1 { codes, correlation, correlation_score, 2 more }

codes?: Array<string> | null

List of specific result codes from the fraud and risk screening.

correlation?: "low_confidence" | "potential_match" | "likely_match" | "high_confidence"

Accepts one of the following:

"low_confidence"

"potential_match"

"likely_match"

"high_confidence"

correlation_score?: number | null

Represents the strength of the correlation between provided and known information. A higher score indicates a stronger correlation.

formatdouble

decision?: "accept" | "reject" | "review"

Accepts one of the following:

"accept"

"reject"

"review"

risk_score?: number | null

Predicts the inherent risk associated with the customer for a given module. A higher score indicates a greater likelihood of fraud.

formatdouble

email?: IdentityVerificationBreakdownV1 { codes, correlation, correlation_score, 2 more }

codes?: Array<string> | null

List of specific result codes from the fraud and risk screening.

correlation?: "low_confidence" | "potential_match" | "likely_match" | "high_confidence"

Accepts one of the following:

"low_confidence"

"potential_match"

"likely_match"

"high_confidence"

correlation_score?: number | null

Represents the strength of the correlation between provided and known information. A higher score indicates a stronger correlation.

formatdouble

decision?: "accept" | "reject" | "review"

Accepts one of the following:

"accept"

"reject"

"review"

risk_score?: number | null

Predicts the inherent risk associated with the customer for a given module. A higher score indicates a greater likelihood of fraud.

formatdouble

fraud?: IdentityVerificationBreakdownV1 { codes, correlation, correlation_score, 2 more }

codes?: Array<string> | null

List of specific result codes from the fraud and risk screening.

correlation?: "low_confidence" | "potential_match" | "likely_match" | "high_confidence"

Accepts one of the following:

"low_confidence"

"potential_match"

"likely_match"

"high_confidence"

correlation_score?: number | null

Represents the strength of the correlation between provided and known information. A higher score indicates a stronger correlation.

formatdouble

decision?: "accept" | "reject" | "review"

Accepts one of the following:

"accept"

"reject"

"review"

risk_score?: number | null

Predicts the inherent risk associated with the customer for a given module. A higher score indicates a greater likelihood of fraud.

formatdouble

phone?: IdentityVerificationBreakdownV1 { codes, correlation, correlation_score, 2 more }

codes?: Array<string> | null

List of specific result codes from the fraud and risk screening.

correlation?: "low_confidence" | "potential_match" | "likely_match" | "high_confidence"

Accepts one of the following:

"low_confidence"

"potential_match"

"likely_match"

"high_confidence"

correlation_score?: number | null

Represents the strength of the correlation between provided and known information. A higher score indicates a stronger correlation.

formatdouble

decision?: "accept" | "reject" | "review"

Accepts one of the following:

"accept"

"reject"

"review"

risk_score?: number | null

Predicts the inherent risk associated with the customer for a given module. A higher score indicates a greater likelihood of fraud.

formatdouble

synthetic?: IdentityVerificationBreakdownV1 { codes, correlation, correlation_score, 2 more }

codes?: Array<string> | null

List of specific result codes from the fraud and risk screening.

correlation?: "low_confidence" | "potential_match" | "likely_match" | "high_confidence"

Accepts one of the following:

"low_confidence"

"potential_match"

"likely_match"

"high_confidence"

correlation_score?: number | null

Represents the strength of the correlation between provided and known information. A higher score indicates a stronger correlation.

formatdouble

decision?: "accept" | "reject" | "review"

Accepts one of the following:

"accept"

"reject"

"review"

risk_score?: number | null

Predicts the inherent risk associated with the customer for a given module. A higher score indicates a greater likelihood of fraud.

formatdouble

created_at: string

Timestamp of when the review was initiated.

formatdate-time

decision: "accept" | "reject" | "review"

Accepts one of the following:

"accept"

"reject"

"review"

review_id: string

Unique identifier for the review.

formatuuid

updated_at: string

Timestamp of the most recent update to the review.

formatdate-time

kyc?: KYC { validations, codes, decision }

validations: Validations { address, city, dob, 7 more }

Boolean values indicating the result of each validation in the KYC process.

address?: boolean

city?: boolean

dob?: boolean

email?: boolean

first_name?: boolean

last_name?: boolean

phone?: boolean

ssn?: boolean

state?: boolean

zip?: boolean

codes?: Array<string> | null

List of specific result codes from the KYC screening process.

decision?: "accept" | "reject" | "review"

Accepts one of the following:

"accept"

"reject"

"review"

messages?: Record<string, string> | null

Dictionary of all messages from the customer verification process.

network_alerts?: NetworkAlerts { alerts, codes, decision }

alerts?: Array<string> | null

Any alerts or flags raised during the consortium alert screening.

codes?: Array<string> | null

List of specific result codes from the consortium alert screening.

decision?: "accept" | "reject" | "review"

Accepts one of the following:

"accept"

"reject"

"review"

reputation?: Reputation { codes, decision, insights, risk_score }

codes?: Array<string> | null

Specific codes related to the Straddle reputation screening results.

decision?: "accept" | "reject" | "review"

Accepts one of the following:

"accept"

"reject"

"review"

insights?: Insights { accounts_active_count, accounts_closed_count, accounts_closed_dates, 30 more }

accounts_active_count?: number | null

accounts_closed_count?: number | null

accounts_closed_dates?: Array<string> | null

accounts_count?: number | null

accounts_fraud_count?: number | null

accounts_fraud_labeled_dates?: Array<string> | null

accounts_fraud_loss_total_amount?: number | null

ach_fraud_transactions_count?: number | null

ach_fraud_transactions_dates?: Array<string> | null

ach_fraud_transactions_total_amount?: number | null

ach_returned_transactions_count?: number | null

ach_returned_transactions_dates?: Array<string> | null

ach_returned_transactions_total_amount?: number | null

applications_approved_count?: number | null

applications_count?: number | null

applications_dates?: Array<string> | null

applications_declined_count?: number | null

applications_fraud_count?: number | null

card_disputed_transactions_count?: number | null

card_disputed_transactions_dates?: Array<string> | null

card_disputed_transactions_total_amount?: number | null

card_fraud_transactions_count?: number | null

card_fraud_transactions_dates?: Array<string> | null

card_fraud_transactions_total_amount?: number | null

card_stopped_transactions_count?: number | null

card_stopped_transactions_dates?: Array<string> | null

user_active_profile_count?: number | null

user_address_count?: number | null

user_closed_profile_count?: number | null

user_dob_count?: number | null

user_email_count?: number | null

user_institution_count?: number | null

user_mobile_count?: number | null

risk_score?: number | null

watch_list?: WatchList { codes, decision, matched, matches }

codes?: Array<string> | null

Specific codes related to the Straddle watchlist screening results.

decision?: "accept" | "reject" | "review"

Accepts one of the following:

"accept"

"reject"

"review"

matched?: Array<string> | null

Information about any matches found during screening.

matches?: Array<Match> | null

Information about any matches found during screening.

correlation: "low_confidence" | "potential_match" | "likely_match" | "high_confidence"

Accepts one of the following:

"low_confidence"

"potential_match"

"likely_match"

"high_confidence"

list_name: string

The name of the list the match was found.

match_fields: Array<string>

Data fields that matched.

urls: Array<string>

Relevent Urls to review.

meta: ResponseMetadata { api_request_id, api_request_timestamp }

Metadata about the API request, including an identifier and timestamp.

api_request_id: string

Unique identifier for this API request, useful for troubleshooting.

formatuuid

api_request_timestamp: string

Timestamp for this API request, useful for troubleshooting.

formatdate-time

response_type: "object" | "array" | "error" | "none"

Indicates the structure of the returned content.

• "object" means the data field contains a single JSON object.
• "array" means the data field contains an array of objects.
• "error" means the data field contains an error object with details of the issue.
• "none" means no data is returned.

Accepts one of the following:

"object"

"array"

"error"

"none"

Review a customer's identity results

TypeScript

• HTTP
• TypeScript
• Python
• Ruby

import Straddle from '@straddlecom/straddle';

const client = new Straddle({
  apiKey: 'My API Key',
});

const customerReviewV1 = await client.customers.review.get('182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e');

console.log(customerReviewV1.data);

200 example

{
  "data": {
    "customer_details": {
      "id": "182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e",
      "created_at": "2019-12-27T18:11:19.117Z",
      "email": "ron.swanson@pawnee.com",
      "name": "Ron Swanson",
      "phone": "+12128675309",
      "status": "pending",
      "type": "individual",
      "updated_at": "2019-12-27T18:11:19.117Z",
      "address": {
        "address1": "123 Main St",
        "city": "Anytown",
        "state": "CA",
        "zip": "12345",
        "address2": "Apt 1"
      },
      "compliance_profile": {
        "dob": "2019-12-27",
        "ssn": "***-**-****"
      },
      "config": {
        "processing_method": "inline",
        "sandbox_outcome": "standard"
      },
      "device": {
        "ip_address": "192.168.1.1"
      },
      "external_id": "external_id",
      "metadata": {
        "foo": "string"
      }
    },
    "identity_details": {
      "breakdown": {
        "address": {
          "codes": [
            "string"
          ],
          "correlation": "low_confidence",
          "correlation_score": 0,
          "decision": "accept",
          "risk_score": 0
        },
        "business_evaluation": {
          "codes": [
            "string"
          ],
          "correlation": "low_confidence",
          "correlation_score": 0,
          "decision": "accept",
          "risk_score": 0
        },
        "business_identification": {
          "codes": [
            "string"
          ],
          "correlation": "low_confidence",
          "correlation_score": 0,
          "decision": "accept",
          "risk_score": 0
        },
        "business_validation": {
          "codes": [
            "string"
          ],
          "correlation": "low_confidence",
          "correlation_score": 0,
          "decision": "accept",
          "risk_score": 0
        },
        "email": {
          "codes": [
            "string"
          ],
          "correlation": "low_confidence",
          "correlation_score": 0,
          "decision": "accept",
          "risk_score": 0
        },
        "fraud": {
          "codes": [
            "string"
          ],
          "correlation": "low_confidence",
          "correlation_score": 0,
          "decision": "accept",
          "risk_score": 0
        },
        "phone": {
          "codes": [
            "string"
          ],
          "correlation": "low_confidence",
          "correlation_score": 0,
          "decision": "accept",
          "risk_score": 0
        },
        "synthetic": {
          "codes": [
            "string"
          ],
          "correlation": "low_confidence",
          "correlation_score": 0,
          "decision": "accept",
          "risk_score": 0
        }
      },
      "created_at": "2019-12-27T18:11:19.117Z",
      "decision": "accept",
      "review_id": "182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e",
      "updated_at": "2019-12-27T18:11:19.117Z",
      "kyc": {
        "validations": {
          "address": true,
          "city": true,
          "dob": true,
          "email": true,
          "first_name": true,
          "last_name": true,
          "phone": true,
          "ssn": true,
          "state": true,
          "zip": true
        },
        "codes": [
          "string"
        ],
        "decision": "accept"
      },
      "messages": {
        "foo": "string"
      },
      "network_alerts": {
        "alerts": [
          "string"
        ],
        "codes": [
          "string"
        ],
        "decision": "accept"
      },
      "reputation": {
        "codes": [
          "string"
        ],
        "decision": "accept",
        "insights": {
          "accounts_active_count": 0,
          "accounts_closed_count": 0,
          "accounts_closed_dates": [
            "2019-12-27"
          ],
          "accounts_count": 0,
          "accounts_fraud_count": 0,
          "accounts_fraud_labeled_dates": [
            "2019-12-27"
          ],
          "accounts_fraud_loss_total_amount": 0,
          "ach_fraud_transactions_count": 0,
          "ach_fraud_transactions_dates": [
            "2019-12-27"
          ],
          "ach_fraud_transactions_total_amount": 0,
          "ach_returned_transactions_count": 0,
          "ach_returned_transactions_dates": [
            "2019-12-27"
          ],
          "ach_returned_transactions_total_amount": 0,
          "applications_approved_count": 0,
          "applications_count": 0,
          "applications_dates": [
            "2019-12-27"
          ],
          "applications_declined_count": 0,
          "applications_fraud_count": 0,
          "card_disputed_transactions_count": 0,
          "card_disputed_transactions_dates": [
            "2019-12-27"
          ],
          "card_disputed_transactions_total_amount": 0,
          "card_fraud_transactions_count": 0,
          "card_fraud_transactions_dates": [
            "2019-12-27"
          ],
          "card_fraud_transactions_total_amount": 0,
          "card_stopped_transactions_count": 0,
          "card_stopped_transactions_dates": [
            "2019-12-27"
          ],
          "user_active_profile_count": 0,
          "user_address_count": 0,
          "user_closed_profile_count": 0,
          "user_dob_count": 0,
          "user_email_count": 0,
          "user_institution_count": 0,
          "user_mobile_count": 0
        },
        "risk_score": 0
      },
      "watch_list": {
        "codes": [
          "string"
        ],
        "decision": "accept",
        "matched": [
          "string"
        ],
        "matches": [
          {
            "correlation": "low_confidence",
            "list_name": "list_name",
            "match_fields": [
              "string"
            ],
            "urls": [
              "string"
            ]
          }
        ]
      }
    }
  },
  "meta": {
    "api_request_id": "182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e",
    "api_request_timestamp": "2019-12-27T18:11:19.117Z"
  },
  "response_type": "object"
}

Returns Examples

200 example

{
  "data": {
    "customer_details": {
      "id": "182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e",
      "created_at": "2019-12-27T18:11:19.117Z",
      "email": "ron.swanson@pawnee.com",
      "name": "Ron Swanson",
      "phone": "+12128675309",
      "status": "pending",
      "type": "individual",
      "updated_at": "2019-12-27T18:11:19.117Z",
      "address": {
        "address1": "123 Main St",
        "city": "Anytown",
        "state": "CA",
        "zip": "12345",
        "address2": "Apt 1"
      },
      "compliance_profile": {
        "dob": "2019-12-27",
        "ssn": "***-**-****"
      },
      "config": {
        "processing_method": "inline",
        "sandbox_outcome": "standard"
      },
      "device": {
        "ip_address": "192.168.1.1"
      },
      "external_id": "external_id",
      "metadata": {
        "foo": "string"
      }
    },
    "identity_details": {
      "breakdown": {
        "address": {
          "codes": [
            "string"
          ],
          "correlation": "low_confidence",
          "correlation_score": 0,
          "decision": "accept",
          "risk_score": 0
        },
        "business_evaluation": {
          "codes": [
            "string"
          ],
          "correlation": "low_confidence",
          "correlation_score": 0,
          "decision": "accept",
          "risk_score": 0
        },
        "business_identification": {
          "codes": [
            "string"
          ],
          "correlation": "low_confidence",
          "correlation_score": 0,
          "decision": "accept",
          "risk_score": 0
        },
        "business_validation": {
          "codes": [
            "string"
          ],
          "correlation": "low_confidence",
          "correlation_score": 0,
          "decision": "accept",
          "risk_score": 0
        },
        "email": {
          "codes": [
            "string"
          ],
          "correlation": "low_confidence",
          "correlation_score": 0,
          "decision": "accept",
          "risk_score": 0
        },
        "fraud": {
          "codes": [
            "string"
          ],
          "correlation": "low_confidence",
          "correlation_score": 0,
          "decision": "accept",
          "risk_score": 0
        },
        "phone": {
          "codes": [
            "string"
          ],
          "correlation": "low_confidence",
          "correlation_score": 0,
          "decision": "accept",
          "risk_score": 0
        },
        "synthetic": {
          "codes": [
            "string"
          ],
          "correlation": "low_confidence",
          "correlation_score": 0,
          "decision": "accept",
          "risk_score": 0
        }
      },
      "created_at": "2019-12-27T18:11:19.117Z",
      "decision": "accept",
      "review_id": "182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e",
      "updated_at": "2019-12-27T18:11:19.117Z",
      "kyc": {
        "validations": {
          "address": true,
          "city": true,
          "dob": true,
          "email": true,
          "first_name": true,
          "last_name": true,
          "phone": true,
          "ssn": true,
          "state": true,
          "zip": true
        },
        "codes": [
          "string"
        ],
        "decision": "accept"
      },
      "messages": {
        "foo": "string"
      },
      "network_alerts": {
        "alerts": [
          "string"
        ],
        "codes": [
          "string"
        ],
        "decision": "accept"
      },
      "reputation": {
        "codes": [
          "string"
        ],
        "decision": "accept",
        "insights": {
          "accounts_active_count": 0,
          "accounts_closed_count": 0,
          "accounts_closed_dates": [
            "2019-12-27"
          ],
          "accounts_count": 0,
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