Most teams rely on dozens of different tools, and many of them don’t plug into their reporting workflows right away. There are always data sources that sit outside the list of native integrations: an internal app your team built, a niche platform used only in your industry, or software from a vendor that hasn’t added integration support yet. When that data isn’t readily accessible, teams find workarounds. Typically, that means manual CSV exports into spreadsheets, custom data pipelines that require engineering help, or ad-hoc automations that someone has to keep an eye on. These solutions can work, but they’re time-consuming to set up, fragile when something changes, and add ongoing maintenance for whoever owns them. The result is reporting with blind spots, where teams are forced to make decisions based on an incomplete picture of performance.
Introducing Custom Integrations
Custom Integrations lets you create your own data connectors without writing any code. You hook up an external API, choose the fields you care about, and Databox converts the response into a structured dataset that’s ready for reporting, right alongside every other data source in your account.
A dependable connection to almost any API
Previously, building a custom data connection meant involving engineers, writing code, and maintaining pipelines. With Custom Integrations, none of that is necessary.
Connect to any API without code
Custom Integrations supports Basic, Token, OAuth2, and unauthenticated APIs, and you can optionally add a test endpoint to confirm everything is configured correctly before saving the connection.
Tip: Paste your API documentation into an AI tool like Claude…