Mock sample for your project: JIRA 7.6.1 API

The Snyk API is available to customers on paid plans and allows you to programatically integrate with Snyk.
API vs CLI vs Snyk integration
The API detailed below has the ability to test a package for issues, as they are defined by Snyk. It is important to note that for many package managers, using this API will be less accurate than running the Snyk CLI as part of your build pipe, or just using it locally on your package. The reason for this is that more than one package version fit the requirements given in manifest files. Running the CLI locally tests the actual deployed code, and has an accurate snapshot of the dependency versions in use, while the API can only infer it, with inferior accuracy. It should be noted that the Snyk CLI has the ability to output machine-readable JSON output (with the --json flag to snyk test).
A third option, is to allow Snyk access to your development flow via the existing Snyk integrations. The advantage to this approach is having Snyk monitor every new pull request, and suggest fixes by opening new pull requests. This can be achieved either by integrating Snyk directly to your source code management (SCM) tool, or via a broker to allow greater security and auditability.
If those are not viable options, this API is your best choice.
API url
The base URL for all API endpoints is https://snyk.io/api/v1/
Authorization
To use this API, you must get your token from Snyk. It can be seen on https://snyk.io/account/ after you register with Snyk and login.
The token should be supplied in an Authorization header with the token, preceded by token:

The Computer Vision API provides state-of-the-art algorithms to process images and return information. For example, it can be used to determine if an image contains mature content, or it can be used to find all the faces in an image. It also has other features like estimating dominant and accent colors, categorizing the content of images, and describing an image with complete English sentences. Additionally, it can also intelligently generate images thumbnails for displaying large images effectively.

Converter and validator for Swagger 2.0 to OpenAPI 3.0.x definitions

What's in this version:
Compare two screenshots for layout differences
Compare a full screenshot test of browsers to a single baseline browser for layout differences.
Compare a screenshot test version to another test version - good for regression tests.
Get links to the Comparison UI for visual representation of layout differences

This API provides current weather information for US Cities, including temperatures, wind speeds, wind direction, relative humidity, and visibility.

The Computer Vision API provides state-of-the-art algorithms to process images and return information. For example, it can be used to determine if an image contains mature content, or it can be used to find all the faces in an image. It also has other features like estimating dominant and accent colors, categorizing the content of images, and describing an image with complete English sentences. Additionally, it can also intelligently generate images thumbnails for displaying large images effectively.

The Spell Check API - V7 lets you check a text string for spelling and grammar errors.

The Bing Custom Image Search API lets you send an image search query to Bing and get back image search results customized to meet your custom search definition.

This API provides geographic information for a global telephone number, including city and country information, primary languages spoken, and mobile device identification.

This API provides XML to JSON, JSON to XML transformations.

This API provides area code information for a given telephone area code.