Fraudscore For Non RE

Introduction

FraudScore is a data-enrichment driven risk indicator designed to proactively detect potential fraud accounts within financial ecosystem.It enhances traditional fraud detection frameworks by enriching customer data with additional layers of intelligence. Beyond standard KYC and onboarding checks, it aggregates and analyzes a broader set of behavioral and contextual signals

API Details

API cURL

curl --location 'https://api-preproduction.signzy.app/api/v3/fraudscore' \
--header 'Authorization: <Auth Toke>' \
--header 'Content-Type: application/json' \
--data-raw '{
  "phoneNumber": "",
  "name": "",
  "pan": "",
  "email": "",
  "pincode": "",
  "ipAddress": "",
  "dob": "",
  "gender": "",
  "strictness": ""
}'

Request body parameters

Parameters	Required	Type	Description
phoneNumber	Yes	String	10-digit Indian mobile number (e.g., "9876543210")
name	Yes	String	Full name of the person (2-150 characters, will be converted to uppercase)
email	No	String	Valid email address of the person (e.g., "[email protected]")
pan	No	String	PAN card number in format AAAAA9999A (e.g., "ABCDE1234F")
pincode	No	String	6-digit Indian postal code (e.g., "400001")
DOB	No	String	Date of birth in DD-MM-YYYY or DD/MM/YYYY format (e.g., "15-08-1990")
Gender	No	String	Gender specification - valid values: "male" or "female"
ipAddress	No	String	IPv4 or IPv6 address for location analysis (e.g., "192.168.1.1")
strictness	No	String	Fraud detection sensitivity level - valid values: "all", "strict", "moderate", "lenient" (default: "strict")

Expected Output

{
  “result”: {
    “trustScore": {
      "score": "",
      "riskCategory": "",
      "nameMatch": ""
    }
  }
 }

{
    "result": {
        "trustScore": {
            "strict": {
                "score": "439",
                "riskCategory": "Moderate Risk",
                "nameMatch": "0.29"
            },
            "moderate": {
                "score": "504",
                "riskCategory": "Low Risk",
                "nameMatch": "0.57"
            },
            "lenient": {
                "score": "537",
                "riskCategory": "Low Risk",
                "nameMatch": "0.57"
            }
        }
    }
}

Request body parameters

Field	Type	Description
result	object	Root object containing the evaluation result.
result.trustScore	object	Object holding trust score details (can be single or multiple modes).
result.trustScore.score	string	(Single mode only) Numeric trust score in string format.
result.trustScore.riskCategory	string	(Single mode only) Risk classification (e.g., Low Risk, Moderate Risk).
result.trustScore.nameMatch	string	(Single mode only) Name similarity value in string format (e.g., "0.29").
result.trustScore.strict	object	(Multi-mode) Strict evaluation object.
result.trustScore.strict.score	string	Trust score under strict evaluation.
result.trustScore.strict.riskCategory	string	Risk category under strict evaluation.
result.trustScore.strict.nameMatch	string	Name match score under strict evaluation.
result.trustScore.moderate	object	(Multi-mode) Moderate evaluation object.
result.trustScore.moderate.score	string	Trust score under moderate evaluation.
result.trustScore.moderate.riskCategory	string	Risk category under moderate evaluation.
result.trustScore.moderate.nameMatch	string	Name match score under moderate evaluation.
result.trustScore.lenient	object	(Multi-mode) Lenient evaluation object.
result.trustScore.lenient.score	string	Trust score under lenient evaluation.
result.trustScore.lenient.riskCategory	string	Risk category under lenient evaluation.
result.trustScore.lenient.nameMatch	string	Name match score under lenient evaluation.

Status Code:

Code	status	Description
200	Success	The request id was successfully generated.
400	Bad Request	Invalid input data
409	Upstream Error	Error in fetching data from upstream.
500	Internal Server Error	Something is broken. This is usually a temporary error, for example in a high-load situation.or if an endpoint is temporarily having issues. Try again later.

Contact Us for Any Assistance

If you have any questions or need assistance, please reach out to our customer support team. You can contact us via email at [email protected]. We strive to provide prompt and reliable assistance, ensuring your queries are addressed effectively.

We value your feedback and are committed to making your experience smooth and enjoyable. Our team is dedicated to assisting you with any needs you may have. Thank you for choosing our services. We look forward to helping you!