> ## Documentation Index
> Fetch the complete documentation index at: https://docs.nekt.com/llms.txt
> Use this file to discover all available pages before exploring further.
# Hi Platform as a data source
> Bring data from Hi Platform to Nekt.
Hi Platform is a customer experience management platform that centralizes customer interactions from various channels into a single view. It provides tools for monitoring social media, managing support tickets, and analyzing customer feedback to help businesses improve their customer service and engagement.
## Configuring Hi Platform as a Source
In the [Sources](https://app.nekt.ai/sources) tab, click on the "Add source" button located on the top right of your screen. Then, select the Hi Platform option from the list of connectors.
Click **Next** and you'll be prompted to add your access.
### 1. Add account access
You'll need your Hi Platform API credentials for this connection. Check [this documentation](https://help.hiplatform.com/docs/api-de-integracao-para-o-hi-socialmonitoramentos-ocorrencias-publicacoes-chamados-relatorios-engajamento-outros#chaves-de-acesso) to see how to generate them.
* **API Secret**: The secret to authenticate against the API service.
* **API Key**: The key to authenticate against the API service.
* **Project ID**: The ID of the project to extract data from.
* **Start Date**: The earliest record date to sync.
Click **Next**.
### 2. Select streams
Choose which data streams you want to sync. The Hi Platform connector currently has only one available stream called `search_results`.
> Tip: The stream can be found more easily by typing its name.
Select the streams and click **Next**.
### 3. Configure data streams
Customize how you want your data to appear in your catalog. Select a name for each table (which will contain the fetched data) and the type of sync.
* **Table name**: we suggest a name, but feel free to customize it. You have the option to add a **prefix** and make this process faster!
* **Sync Type**: you can choose between INCREMENTAL and FULL\_TABLE.
* Incremental: every time the extraction happens, we'll get only the new data - which is good if, for example, you want to keep every record ever fetched.
* Full table: every time the extraction happens, we'll get the current state of the data - which is good if, for example, you don't want to have deleted data in your catalog.
Once you are done configuring, click **Next**.
### 4. Configure data source
Describe your data source for easy identification within your organization, not exceeding 140 characters.
To define your [Trigger](https://docs.nekt.com/runs/scheduling-and-triggers), consider how often you want data to be extracted from this source. This decision usually depends on how frequently you need the new table data updated (every day, once a week, or only at specific times).
Optionally, you can determine when to execute a [full sync](https://docs.nekt.com/get-started/core-concepts/types-of-sync#additional-full-sync). This will complement the incremental data extractions, ensuring that your data is completely synchronized with your source every once in a while.
Once you are ready, click **Next** to finalize the setup.
### 5. Check your new source
You can view your new source on the [Sources](https://app.nekt.ai/sources) page. If needed, manually trigger the source extraction by clicking on the arrow button. Once executed, your data will appear in your Catalog.
For you to be able to see it on your [Catalog](https://app.nekt.ai/catalog), you need at least one successful source run.
# Streams and Fields
Below you'll find the available data stream from Hi Platform and its corresponding fields:
Stream for managing search results, which can include social media mentions, support tickets, and other customer interactions.
**Key Fields:**
* `id`: The search result's system ID
* `type`: The type of search result
* `title`: The title of the content
* `text`: The content text
* `url`: URL of the content
* `media_id`: Media identifier
* `published_on`: Timestamp of publication
* `created_at`: Timestamp of creation
* `user`: Username
* `user_id`: User ID
* `user_image`: User profile image URL
* `attached_image_url`: URL of attached image
* `social_media`: Social media platform
* `search_term`: Search term used
* `polarization`: Polarization score
* `reach`: Reach metric
* `favorite`: Whether result is favorited
* `latitude`: Location latitude
* `longitude`: Location longitude
* `country`: Country name
* `state`: State name
* `city`: City name
* `gender`: User gender
* `crm_user_id`: CRM user ID
* `can_hide`: Whether content can be hidden
* `hidden_on_media`: Whether hidden on media platform
* `likes`: Number of likes
* `shares`: Number of shares
* `comments`: Number of comments
* `tags`: Content tags
## Skills for agents
Hi Platform connector documentation as plain markdown, for use in AI agent contexts.