Data validation can be a simple concept to grasp initially, and a Validator API and verify API can help.
However, it is one of the trickiest issues for companies and individuals to solve at scale, and this is where Validator API fits into the picture.
The lack of data validation procedures can be the downfall of many projects, especially those that handle data science or engineering.
As such, we will explore some of the most fundamental things developers and business owners need to know surrounding data verification. We will also explore how a validator API can help.
Table of Contents
Validate Method and the Phone Number Reverse Lookup API
Data validation is a procedure determining if data sent to or from an API is within specific acceptable values that have been preset. These values are available on a document through a description language, the most common being OpenAPI.
Data verification involves checking if an API request or response aligns with the API’s description in real-world use cases. There is client-side and server-side verification; however, this depends on the use case surrounding it.
In the context of a reverse lookup API for phones, the API is responsible for validating the phone number and provides the phone metadata, owner’s name, and other data. Other data can include demographics, current address, historical address, or associated people.
The Role and Method of Data Validation API for Phone Number Lookup
When completed properly, data validation can ensure the data is clean, usable, and accurate. Only validated data gets stored, imported, or even used. Failing to do so can result in other applications not operating properly and providing inaccurate outcomes.
Developers will typically run a series of checks known as check routines. These can range from simple to advanced checks involving structured conditional checks.
APIs such as the numverify API can provide a powerful JSON API allowing any developer to validate international and national numbers.
The numverify API supports 232 countries and features advanced phone number validating tools, implementing updated international numbering plans, carrier and line types, detection, and location lookup.
The Most Important Points an API Verifies
The most common points validated within the API tests are the status code, the response content type, and the response body.
Surrounding the response code, if the expected response code is not received, further validations do not have any meaning. This can save time, as earlier detection can reduce the cost and resources associated with validating a false response.
When we look at the response content type, if the content type is different from the expected one, there is no point in proceeding with any future validation points.
Then there’s the response body, where its validation can complete in two ways. For example, developers can validate the data returned as the response by reading each data.
This means that the API needs to verify the phone number in the context of a Validator API and then provide phone metadata, ownership names, demographics, and anything else that can be associated.
Validation Process With Validator APIs
It has been simpler than ever before for someone to begin validating phone numbers or get other Validator data by simply implementing a pre-created API.
One such example is the numverify API, a free, global phone number validation and lookup JSON API that anyone can utilize to its maximum extent.
What Is an API Validator?
An API validator is a tool that aids in checking to see if an API meets specific requirements regarding how it works, performs, and is safe.
How Do I Validate an API?
APIs validate in a wide range of different ways. Some of the most used ways to validate APIs include static analysis, dynamic analysis, or fuzz testing.
What Is the Use of a Validator?
A validator gets used to check the validity or correctness of specific code or documentation.
How Do You Check If API Is Valid or Not With Method Summary?
There are multiple ways through which an API might not function. Testing from invalid response codes to invalid response headers, time-outs, or incorrect required data in JSON responses gets done. Typically, developers would send the request with the necessary input data, get the response through output data, and verify that the response returned as expected in the original requirements.