> For the complete documentation index, see [llms.txt](https://docs.pynt.io/documentation/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.pynt.io/documentation/applications-view/manage-sources-for-api-discovery/source-categories/api-documentation/postman-collection.md).
# Postman Collection
[Postman Collections](https://www.postman.com/collection/) are a powerful way to organize, document, and share APIs, providing a structured format to define API requests, parameters, tests, and workflows. Widely used by developers and teams for API development, testing, and collaboration, Postman Collections allow you to bundle multiple API calls into a single, organized structure, making it easier to manage complex API environments. Postman also offers features like environment variables, pre-request scripts, and test scripts, which can be included in collections to automate and streamline API testing.
Postman Collections serve as both a documentation tool and a testing suite, enabling developers to easily share API workflows with others, including detailed descriptions, examples, and expected responses. This makes them invaluable for API onboarding, testing, and collaboration across teams.
As part of its [API Catalog](/documentation/api-catalog/api-catalog-overview.md) Pynt allows seamless [integration](/documentation/applications-view/manage-sources-for-api-discovery.md) with Postman collection for API documentation.\
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By integrating Pynt with Postman Collections, you can automatically discover and catalog the APIs defined within your collections. Pynt enhances your API management by continuously monitoring these APIs for security vulnerabilities and compliance issues, providing real-time insights and detailed security assessments. This integration ensures that every API documented in your Postman Collections is securely managed and protected against potential threats.
Postman Collection
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