> For the complete documentation index, see [llms.txt](https://docs.fact-finder.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.fact-finder.com/integration/recommendation-engine-integration/product-comparison-integration.md). # Product Comparison Integration Display product comparison data returned by FactFinder through the REST API. This module allows you to easily offer a product-comparison function in your shop. FactFinder provides the relevant product information for each requested article number, as well as information on the attributes being compared, which you then just need to display. You can also emphasize selected attributes to draw the customer’s attention to them. ### Integration via REST The REST API documentation is part of the search application and is available at \[your NG server]/fact-finder/swagger-ui.html. You can also access it here: Swagger Link: In addition to the parameter documentation, you can test requests and inspect the results directly. Because the documentation is built with Swagger, you can also use Swagger Codegen to generate a client. Module data is retrieved via the `compareproducts` function. --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation by asking a question. Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters: ``` GET https://docs.fact-finder.com/integration/recommendation-engine-integration/product-comparison-integration.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.