# Teamgate

[Teamgate ](https://www.integry.io/apps/teamgate)is a customer relationship management tool designed to increase your sales. It is easy to use and helps streamline the sales process by gathering leads and closing deals. The Teamgate App Connector helps you manage and sync contacts and leads with other third-party apps. 

### Specifications  <a href="#specifications-0-0" id="specifications-0-0"></a>

Before you connect your Insightly account with Teamgate, you can go through some basic specifications of the Teamgate App Connector.&#x20;

#### Authorization Type  <a href="#authorization-type-0-1" id="authorization-type-0-1"></a>

Teamgate uses [API Key + secret](https://support.integry.io/hc/en-us/articles/11112617800985-Authentication-Types-Supported-in-Integry) authorization type. The end-user is identified by an API key and a secret, and Integry uses this key+secret combination to perform API requests to Teamgate on behalf of that end-user.&#x20;

#### Trigger Type <a href="#trigger-type-0-2" id="trigger-type-0-2"></a>

The triggers in Teamgate are [poll-based](https://www.testpreptraining.com/tutorial/describe-polling-triggers-and-their-usage/). Integry will send a request to Teamgate every 5 minutes to collect data. In case of an occurrence of selected events, a trigger will be received at Integry with the required payload. Therefore, when you set up an integration (in which Teamgate acts as a trigger application) and perform an action in Teamgate, expect a 5-minute delay for the trigger to be received at Integry.&#x20;

### Limitations <a href="#limitations-0-3" id="limitations-0-3"></a>

Currently, there are no limitations in the Teamgate App Connector.


---

# Agent Instructions: 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:

```
GET https://docs.integry.ai/apps/supported-apps/teamgate.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
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.