Integrate Stripe with Databox
Use Databox to analyze Stripe data, track key revenue metrics, and uncover insights to optimize financial performance and drive business growth.
Availability
One or more features exclusive to select subscription plans
Stripe is a widely used payment processing platform designed to help businesses accept online payments, manage transactions, and streamline financial operations. It enables users to handle everything from one-time purchases to recurring billing, while providing detailed insights into revenue, customer behavior, and financial performance. Stripe also integrates with a variety of ecommerce, accounting, and analytics tools, making it easy to fit into existing business systems and workflows.
Connection
Before you begin
If your credentials don’t include full access to the data source, make sure your access level meets any permission requirements listed in the Specification section of the integration's page in the Metric Library.
Add a connection
To connect Stripe to your Databox account for the first time, or when using new credentials, provide the following information:
- Connection name – Any name you’d like to use for this connection.
- Restricted Key – Found in your Stripe account under Developers > API Keys.
- When creating the Restricted Key, make sure to enable Read-only access for all relevant resources.
- Timezone – Set in your Stripe account under Business settings > Account settings.
Datasets
The Stripe integration supports the creation of datasets, which allow you to structure and format your Stripe data for more flexible reporting in Databox. By organizing your data into a tabular format, datasets make it easier to filter, segment, and visualize key metrics across projects, clients, and team members.
The entity relationship diagram (ERD) below illustrates how data is organized within the Stripe integration, displaying the available views and columns, as well as the relationships between them (primary and foreign keys). This diagram represents the schema, or structure, of the data and helps you understand the underlying data model. With this context, you can create datasets using the relevant views and columns to build custom metrics tailored to your reporting needs.
To explore the interactive version of this diagram, hover over the image and click the link.
Resources
For comprehensive details on metrics, data availability, templates, specifications, usage guidelines, and other key information, refer to the resources listed below.