Matchmeter

Matchmeter is a tool that accurately matches naming nuances between merchant inputs and end-user bank records. The tool is optimised to minimise the number of false positive and is designed to work with data from any country, with specialised optimisation for Belgium, the United Kingdom, France, Ireland and Italy.

Matchmeter is capable of matching the account holder's name and account identifiers, such as IBAN or account number and sort code. This makes it a valuable component of the Account Ownership Verification process.

Matchmeter is a machine learning model trained to distinguish between two classes of name strings: one provided by the merchant and the other from the end user's bank record.

Class '1' indicates that the two strings correspond to the same person, while class '0' signifies that they do not match. Additionally, Matchmeter returns a metric on a scale from 0 to 100, expressing the degree of similarity between the strings, where 0 denotes completely different strings and 100 indicates a perfect match.

Recall and precision are metrics used for the evaluation of a machine-learning classifier.

• Recall in simple terms answers the question: Out of all the actual positive (negative) cases, how many did the model successfully detect?

Therefore, recall indicates how effectively the model detects all instances of a given class.

• Precision in simple terms answers the question: "Out of all the cases that the model predicted as positive (negative), how many were actually positive (negative)?

Therefore, precision indicates how accurate the model's predictions are for a given class.

The effectiveness of Matchmeter has been tested using a realistic dataset that preserves the distribution of bank popularity. However, it's important to note that the results may vary depending on factors such as i.e. the quality of the shopper's name provided.

To enable and use Matchmeter you need to ensure the following:

• You requested your Implementation Manager or Account Manager the enablement of this Product and completed all the commercial onboarding steps
• You authenticate first before you can request a payment
• You integrate the relevant endpoints

Matchmeter is available via the GET /payments/{id}/name-match-score endpoint. This endpoint returns a match score between the shopper's name and the account holder's name from the bank record.