> For the complete documentation index, see [llms.txt](https://help.dscout.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://help.dscout.com/private-panels/integrations/private-panels-integrations/tango-card-integration.md).

# Tango Card integration

<figure><img src="https://1440167164-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FT7fhyut5rrQHwe5QRGot%2Fuploads%2Fx1zZA2y15QP7AEqSkQrV%2FTangocard%20(8).jpg?alt=media&amp;token=840decc4-85be-4a34-8d24-7e2f0797ec91" alt=""><figcaption></figcaption></figure>

By connecting Private Panels to your Tango Card account, you can pay study participants with gift cards funded by your own Tango Card budgets. Participants receive their reward by email, and you keep incentive spend inside the Tango Card account your team already manages.

Each study picks its own Tango Card reward, so one team can send Amazon gift cards while another sends a different brand—all from the same connected account.

### Use cases

With the Tango Card integration, you can:

* Pay participants from the Tango Card budgets your organization already funds instead of maintaining a separate incentive balance.
* Choose a different Tango Card reward for each study so incentives match the audience you're researching.
* Pay a study from a specific Tango Card funding account, which keeps incentive spend attributed to the right team or budget.

{% hint style="info" %}
**Note:** Tango Card payments are processed in USD only. Your study's incentive currency must be USD to pay with Tango Card.
{% endhint %}

### Resources

To learn more about the Tango Card integration, see the following resources:

<table data-view="cards"><thead><tr><th></th><th data-hidden data-card-target data-type="content-ref"></th></tr></thead><tbody><tr><td>Set up the Tango Card integration</td><td><a href="/private-panels/integrations/private-panels-integrations/tango-card-integration/set-up-the-tango-card-integration.md">Set up the Tango Card integration</a></td></tr><tr><td>Set up Tango Card for a study</td><td><a href="/private-panels/integrations/private-panels-integrations/tango-card-integration/set-up-tango-card-for-a-study.md">Set up Tango Card for a study</a></td></tr><tr><td>Pay incentives with Tango Card</td><td><a href="/private-panels/integrations/private-panels-integrations/tango-card-integration/pay-incentives-with-tango-card.md">Pay incentives with Tango Card</a></td></tr><tr><td>Troubleshoot the Tango Card integration</td><td><a href="/private-panels/integrations/private-panels-integrations/tango-card-integration/troubleshoot-the-tango-card-integration.md">Troubleshoot the Tango Card integration</a></td></tr></tbody></table>


---

# 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://help.dscout.com/private-panels/integrations/private-panels-integrations/tango-card-integration.md?ask=<question>&goal=<user_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.
