Review

Customers represent the end users who send or receive payments through your integration. Each customer undergoes automatic identity verification and fraud screening upon creation. Use customers to track payment history, manage bank account connections, and maintain a secure record of all transactions associated with a user. Customers can be either individuals or businesses with appropriate compliance checks for each type.

Review a customer's identity results

$ straddle customers:review get

GET/v1/customers/{id}/review

Update a customer's verification status

$ straddle customers:review decision

PATCH/v1/customers/{id}/review

Update a customer's identity decision

$ straddle customers:review refresh-review

PUT/v1/customers/{id}/refresh_review

ModelsExpand Collapse

customerReviewV1: object { data, meta, response_type }

data: object { customer_details, identity_details }

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

id: string

Unique identifier for the customer.

created_at: string

Timestamp of when the customer record was created.

email: string

The customer's email address.

name: string

Full name of the individual or business name.

phone: string

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

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

"pending"

"review"

"verified"

"inactive"

"rejected"

type: "individual" or "business"

"individual"

"business"

updated_at: string

Timestamp of the most recent update to the customer record.

address: optional object { address1, city, state, 2 more }

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).

city: string

City, district, suburb, town, or village.

state: string

Two-letter state code.

zip: string

Zip or postal code.

address2: optional string

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

compliance_profile: optional object { dob, ssn } or object { ein, legal_business_name, representatives, website }

PII required to trigger Patriot Act compliant KYC verification.

Individual Compliance Profile: object { dob, ssn }

PII required to trigger Patriot Act compliant KYC verification.

dob: string

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

ssn: string

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

Business Compliance Profile: object { ein, legal_business_name, representatives, website }

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

ein: string

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

legal_business_name: string

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

representatives: optional array of object { name, email, phone }

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

name: string

email: optional string

phone: optional string

website: optional string

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

config: optional object { processing_method, sandbox_outcome }

processing_method: optional "inline" or "background" or "skip"

"inline"

"background"

"skip"

sandbox_outcome: optional "standard" or "verified" or "rejected" or "review"

"standard"

"verified"

"rejected"

"review"

device: optional object { 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.

external_id: optional string

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

metadata: optional map[string]

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

identity_details: optional object { breakdown, created_at, decision, 7 more }

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

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

address: optional object { codes, correlation, correlation_score, 2 more }

codes: optional array of string

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

correlation: optional "low_confidence" or "potential_match" or "likely_match" or "high_confidence"

"low_confidence"

"potential_match"

"likely_match"

"high_confidence"

correlation_score: optional number

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

decision: optional "accept" or "reject" or "review"

"accept"

"reject"

"review"

risk_score: optional number

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

business_evaluation: optional object { codes, correlation, correlation_score, 2 more }

codes: optional array of string

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

correlation: optional "low_confidence" or "potential_match" or "likely_match" or "high_confidence"

"low_confidence"

"potential_match"

"likely_match"

"high_confidence"

correlation_score: optional number

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

decision: optional "accept" or "reject" or "review"

"accept"

"reject"

"review"

risk_score: optional number

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

business_identification: optional object { codes, correlation, correlation_score, 2 more }

codes: optional array of string

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

correlation: optional "low_confidence" or "potential_match" or "likely_match" or "high_confidence"

"low_confidence"

"potential_match"

"likely_match"

"high_confidence"

correlation_score: optional number

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

decision: optional "accept" or "reject" or "review"

"accept"

"reject"

"review"

risk_score: optional number

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

business_validation: optional object { codes, correlation, correlation_score, 2 more }

codes: optional array of string

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

correlation: optional "low_confidence" or "potential_match" or "likely_match" or "high_confidence"

"low_confidence"

"potential_match"

"likely_match"

"high_confidence"

correlation_score: optional number

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

decision: optional "accept" or "reject" or "review"

"accept"

"reject"

"review"

risk_score: optional number

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

email: optional object { codes, correlation, correlation_score, 2 more }

codes: optional array of string

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

correlation: optional "low_confidence" or "potential_match" or "likely_match" or "high_confidence"

"low_confidence"

"potential_match"

"likely_match"

"high_confidence"

correlation_score: optional number

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

decision: optional "accept" or "reject" or "review"

"accept"

"reject"

"review"

risk_score: optional number

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

fraud: optional object { codes, correlation, correlation_score, 2 more }

codes: optional array of string

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

correlation: optional "low_confidence" or "potential_match" or "likely_match" or "high_confidence"

"low_confidence"

"potential_match"

"likely_match"

"high_confidence"

correlation_score: optional number

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

decision: optional "accept" or "reject" or "review"

"accept"

"reject"

"review"

risk_score: optional number

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

phone: optional object { codes, correlation, correlation_score, 2 more }

codes: optional array of string

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

correlation: optional "low_confidence" or "potential_match" or "likely_match" or "high_confidence"

"low_confidence"

"potential_match"

"likely_match"

"high_confidence"

correlation_score: optional number

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

decision: optional "accept" or "reject" or "review"

"accept"

"reject"

"review"

risk_score: optional number

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

synthetic: optional object { codes, correlation, correlation_score, 2 more }

codes: optional array of string

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

correlation: optional "low_confidence" or "potential_match" or "likely_match" or "high_confidence"

"low_confidence"

"potential_match"

"likely_match"

"high_confidence"

correlation_score: optional number

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

decision: optional "accept" or "reject" or "review"

"accept"

"reject"

"review"

risk_score: optional number

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

created_at: string

Timestamp of when the review was initiated.

decision: "accept" or "reject" or "review"

"accept"

"reject"

"review"

review_id: string

Unique identifier for the review.

updated_at: string

Timestamp of the most recent update to the review.

kyc: optional object { validations, codes, decision }

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

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

address: optional boolean

city: optional boolean

dob: optional boolean

email: optional boolean

first_name: optional boolean

last_name: optional boolean

phone: optional boolean

ssn: optional boolean

state: optional boolean

zip: optional boolean

codes: optional array of string

List of specific result codes from the KYC screening process.

decision: optional "accept" or "reject" or "review"

"accept"

"reject"

"review"

messages: optional map[string]

Dictionary of all messages from the customer verification process.

network_alerts: optional object { alerts, codes, decision }

alerts: optional array of string

Any alerts or flags raised during the consortium alert screening.

codes: optional array of string

List of specific result codes from the consortium alert screening.

decision: optional "accept" or "reject" or "review"

"accept"

"reject"

"review"

reputation: optional object { codes, decision, insights, risk_score }

codes: optional array of string

Specific codes related to the Straddle reputation screening results.

decision: optional "accept" or "reject" or "review"

"accept"

"reject"

"review"

insights: optional object { accounts_active_count, accounts_closed_count, accounts_closed_dates, 30 more }

accounts_active_count: optional number

accounts_closed_count: optional number

accounts_closed_dates: optional array of string

accounts_count: optional number

accounts_fraud_count: optional number

accounts_fraud_labeled_dates: optional array of string

accounts_fraud_loss_total_amount: optional number

ach_fraud_transactions_count: optional number

ach_fraud_transactions_dates: optional array of string

ach_fraud_transactions_total_amount: optional number

ach_returned_transactions_count: optional number

ach_returned_transactions_dates: optional array of string

ach_returned_transactions_total_amount: optional number

applications_approved_count: optional number

applications_count: optional number

applications_dates: optional array of string

applications_declined_count: optional number

applications_fraud_count: optional number

card_disputed_transactions_count: optional number

card_disputed_transactions_dates: optional array of string

card_disputed_transactions_total_amount: optional number

card_fraud_transactions_count: optional number

card_fraud_transactions_dates: optional array of string

card_fraud_transactions_total_amount: optional number

card_stopped_transactions_count: optional number

card_stopped_transactions_dates: optional array of string

user_active_profile_count: optional number

user_address_count: optional number

user_closed_profile_count: optional number

user_dob_count: optional number

user_email_count: optional number

user_institution_count: optional number

user_mobile_count: optional number

risk_score: optional number

watch_list: optional object { codes, decision, matched, matches }

codes: optional array of string

Specific codes related to the Straddle watchlist screening results.

decision: optional "accept" or "reject" or "review"

"accept"

"reject"

"review"

matched: optional array of string

Information about any matches found during screening.

matches: optional array of object { correlation, list_name, match_fields, urls }

Information about any matches found during screening.

correlation: "low_confidence" or "potential_match" or "likely_match" or "high_confidence"

"low_confidence"

"potential_match"

"likely_match"

"high_confidence"

list_name: string

The name of the list the match was found.

match_fields: array of string

Data fields that matched.

urls: array of string

Relevent Urls to review.

meta: object { 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.

api_request_timestamp: string

Timestamp for this API request, useful for troubleshooting.

response_type: "object" or "array" or "error" or "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.

"object"

"array"

"error"

"none"

identityVerificationBreakdownV1: object { codes, correlation, correlation_score, 2 more }

codes: optional array of string

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

correlation: optional "low_confidence" or "potential_match" or "likely_match" or "high_confidence"

"low_confidence"

"potential_match"

"likely_match"

"high_confidence"

correlation_score: optional number

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

decision: optional "accept" or "reject" or "review"

"accept"

"reject"

"review"

risk_score: optional number

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