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Risk Score

What is the Risk Score?

The Fideo Risk Score is a value between 0 (less risky) and 1 (more risky) which reflects how well known and connected the input query is to Fideo. The more input you can provide (name + address + email + phone) as opposed to just name + email the better and more accurate your risk score can be.

What Feeds In to the Risk Score?

To create the Fideo Risk Score we look at various aspects of your input: we look at whether the data is valid, how well the input query is connected to each other in our graph, how much of the data is known to our graph, is connected to a single person, and is made up of correct, legitimate identifiers.

Score Value Guidance

Note: These are only general guidelines. Certain use cases may require more or less friction. Example: Higher risk scores may be allowed for general use case where there are low levels of loss, product, or revenue. Transactions which are associated to higher potential loss, our guidance would be to require a lower risk score.

Risk Score RangesBucket NameDescriptionWeather
0.0-0.2LowData is well connected and known, belonging to one person.🌞
>0.2-0.4Medium-LowData is connected for the most part. There are some data misalignments, but may be due to different household members, or the person is new to an address.
>0.4-0.6MediumSome data in the input query is correlated, however there is evidence of data not correlating.
>0.6-0.8ElevatedData is not well connected or not legitimate, and may be combining multiple people. Suggesting to not let the customer/signup continue or do additional validation⛈️
>0.8-1.0HighData Considered not well connected, not belonging to the same person, or not legitimate.🌪️

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Interpreting Requests in Verify

The input provided should follow the multi-field format since it returns indicators on which submitted fields align and which do not.

For example, if an email, phone and name are provided, the response will indicate if the email, phone and name belong to the same person.

If they do not, the response will indicate as much and offer some insights into the mis-matched fields.

Only input fields will return.