
Configuring RD Station Conversas as a Source
In the Sources tab, click on the “Add source” button located on the top right of your screen. Then, select the RD Station Conversas option from the list of connectors. Click Next and you’ll be prompted to add your access.1. Add account access
You’ll need to provide authentication so Nekt can access your RD Station Conversas data. The API uses a JWT sent in theAuthorization: Bearer header.
The following configurations are available:
- Access token: Token used for authentication. Required. You can get it at Apps & Integrations > API > RD Station Conversas (developers.rdstation.com).
-
Private key (JWK) for decryption: JWK (JSON Web Key) of the private key as a JSON string, to decrypt messages history responses. Optional. Generate it at Apps & Integrations > API > Generate Key. See Conversas v2 encryption. If not provided, message history is stored as encrypted payload in the
datafield. -
Start date: Start date for fetching historical messages. Required if using the messages history stream. Only messages from this date onward are fetched. You can use common date formats (e.g.
2024-01-01).
2. Select streams
Choose which data streams you want to sync. For faster extractions, select only the streams that are relevant to your analysis. You can select entire groups of streams or pick specific ones.Tip: The stream can be found more easily by typing its name.
The messages_history stream is a child of contacts: it fetches conversation history per contact. Selecting messages_history will sync history for every contact. Ensure Start Date is set if you use this stream. This stream is available only on the Advanced plan — see planos RD Station Conversas.
3. Configure data streams
Customize how you want your data to appear in your catalog. Select the desired layer where the data will be placed, a folder to organize it inside the layer, a name for each table (which will effectively contain the fetched data) and the type of sync.- Layer: choose between the existing layers on your catalog. This is where you will find your new extracted tables as the extraction runs successfully.
- Folder: a folder can be created inside the selected layer to group all tables being created from this new data source.
- Table name: we suggest a name, but feel free to customize it. You have the option to add a prefix to all tables at once and make this process faster!
- Sync Type: all streams in this connector are full table; select the option that best fits how you want to refresh the data.
4. Configure data source
Describe your data source for easy identification within your organization, not exceeding 140 characters. To define your Trigger, 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 define some additional settings:- Configure Delta Log Retention and determine for how long we should store old states of this table as it gets updated. Read more about this resource here.
- Determine when to execute an 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.
5. Check your new source
You can view your new source on the Sources page. If needed, manually trigger the source extraction by clicking on the arrow button. Once executed, your data will appear in your Catalog.Streams and Fields
Below you’ll find all available data streams from RD Station Conversas and their corresponding fields. API reference: developers.rdstation.com.Contacts
Contacts
List contacts (GET /v2/customers). Base stream for conversation data; messages_history is a child of this stream.
Address (object):
Job (object):
| Field | Type | Description |
|---|---|---|
_id | String | ID do contato |
full_name | String | Nome completo do contato |
email | String | Endereço de e-mail do contato |
cel_phone | String | Número de telefone celular do contato |
| Field | Type | Description |
|---|---|---|
address.city | String | Cidade |
address.complement | String | Complemento |
address.country | String | País |
address.district | String | Bairro |
address.number | String | Número |
address.state | String | Estado/UF |
address.street | String | Logradouro |
address.zip_code | String | CEP |
| Field | Type | Description |
|---|---|---|
job.cnpj | String | CNPJ da empresa |
job.company | String | Nome da empresa |
job.department | String | Departamento |
job.email | String | E-mail profissional |
job.occupation_area | String | Área de atuação |
job.phone | String | Telefone profissional |
job.site | String | Site da empresa |
job.title | String | Cargo |
Custom Fields
Custom Fields
List custom fields (GET /v2/custom-fields). Variables that can be used in message templates.
| Field | Type | Description |
|---|---|---|
id | String | Custom field ID |
key | String | Variable to reference in message templates |
label | String | Label of the custom field |
info | String | Additional information about the field |
Employees
Employees
List employees (GET /v2/employees).
| Field | Type | Description |
|---|---|---|
id | String | Employee ID |
name | String | Employee name |
email | String | Employee email address |
Flows
Flows
List flows (GET /v2/flows).
| Field | Type | Description |
|---|---|---|
id | String | Flow ID |
title | String | Flow title |
Messages History
Messages History
List message history per contact (GET /v2/messages/history). Child stream of Contacts — one partition per contact. Requires Start Date in the source configuration. Response is encrypted (JWE); use Private Key (JWK) to store decrypted message JSON in the
data field; otherwise data contains the encrypted payload.| Field | Type | Description |
|---|---|---|
customer_id | String | Contact ID this message history belongs to |
data | String | Message content: decrypted JSON string if private key is set, otherwise encrypted JWE string |
Reports
Reports
List reports (GET /v4/reports). Uses the Conversas v4 API base.
| Field | Type | Description |
|---|---|---|
id | Integer | Report ID |
title | String | Report title |
description | String | Report description |
createdAt | String | Creation date |
updatedAt | String | Last update date |
Templates
Templates
List message templates (GET /v2/template/all).
| Field | Type | Description |
|---|---|---|
id | String | Template ID |
title | String | Template title |
channel | String | Channel (e.g. whatsapp, email) |
content | String | Template text content |
content_media | String | Media type of the message content |
Wallets
Wallets
List wallets (GET /v2/wallets).
| Field | Type | Description |
|---|---|---|
id | String | Wallet ID |
name | String | Wallet name |
WhatsApp Official Integrations
WhatsApp Official Integrations
List official WhatsApp integrations (GET /v2/whatsapp/integrations/official).
| Field | Type | Description |
|---|---|---|
key | String | Official integration key |
label | String | Integration label |
Workflows
Workflows
List workflows (GET /v2/workflows).
| Field | Type | Description |
|---|---|---|
title | String | Workflow title |
stages | String | Workflow stages as JSON array string |
Data Model
The following diagram illustrates the main relationships. Contacts is the core entity; messages_history is partitioned by contact (child stream). Other streams are independent configuration or metadata entities.Implementation Notes
Message history and encryption
- The messages_history stream returns responses encrypted with JWE (RSA-OAEP-256). To store decrypted message content in the
datafield, configure Private key (JWK) in the source. If not set, the raw encrypted payload is stored indata. - Start Date is required for messages_history so the API can filter messages from that date onward (YYYY-MM-DD or common date formats).
Child stream behavior
- messages_history is a child of contacts. The tap first syncs all contacts, then requests message history for each contact. Selecting both streams will result in one messages history partition per contact; ensure Start Date is set for consistent results.
Skills for agents
Download RD Station Conversas skills file
RD Station Conversas connector documentation as plain markdown, for use in AI agent contexts.