> For the complete documentation index, see [llms.txt](https://help.openloyalty.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://help.openloyalty.io/technical-guide/data-exports/data-structure-and-types/rewards-redemption.md). # Rewards Redemption The Rewards Redemption file contains information about members' reward redemptions. A sample file is provided below: {% file src="/files/hTizvu8Te4a4cO2M8WZd" %} **Available Data:** * **issuedRewardId**: Unique ID for a single issued reward generated in Open Loyalty * **tenantId**: ID of the tenant where the transaction was created * **reward**: Reward's configuration details * **name**: Reward's name * **memberId**: Unique ID for the member generated in Open Loyalty * **memberData**: Information about the member whom the reward was issued to * **costInPoints**: Reward's cost in points * **token**: Unique token (for the material rewards) or coupon code * **redemptionDate**: Date of the reward's redemption * **rewardType**: Type of the reward (available reward types, depending on the reward configuration: `material`, `static_coupon`, `dynamic_coupon`, `conversion_coupon`, `fortune_wheel` * **tax:** Tax value * **taxPriceValue**: Tax price value * **price**: Price of the reward * **status**: Current status of the issued reward * **statusLastUpdatedAt**: The last date of the status update * **issuedCoupon**: Coupon code * **actionCause**: List of the trigger's data of the reward redemption * **createdAt**: Date when the issued reward record was created * **updatedAt**: Date when the issued reward record was last updated --- # 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 dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter: ``` GET https://help.openloyalty.io/technical-guide/data-exports/data-structure-and-types/rewards-redemption.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. 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.