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Dixa (v1)

Last updated: 9/15/2026

Dixa is in beta
Dixa is currently in beta. The info in this guide is subject to change.

Dixa extraction is supported by Stitch
This integration is powered by Singer's Dixa tap and certified by Stitch. Check out and contribute to the repo on GitHub.

For support, contact Support.

Dixa integration summary

Stitch’s Dixa integration replicates data using the Dixa API. Refer to the Schema section for a list of objects available for replication.

Dixa feature snapshot

A high-level look at Stitch's Dixa (v1) integration, including release status, useful links, and the features supported in Stitch.

STITCH
Release status	Beta	Supported by	Stitch
Stitch plan	Standard	API availability	Available
Singer GitHub repository	singer-io/tap-dixa
REPLICATION SETTINGS
Anchor Scheduling	Supported	Advanced Scheduling	Supported
Table-level reset	Unsupported	Configurable Replication Methods	Unsupported
DATA SELECTION
Table selection	Supported	Column selection	Supported
Select all	Supported
TRANSPARENCY
Extraction Logs	Supported	Loading Reports	Supported

Connecting Dixa

Step 1: Generate a Dixa API token

Log into your Dixa account.
Go to Settings page.
Scroll to the Manage section and then click **Integrations”.
In the API Tokens card, click Configure API tokens.
Click Add API Token.
Give the API token a name, like Stitch Integration, to make it easy to find in your list of tokens. Choose Dixa API as the API version. Click Add API Token.
Copy the API token, and have it readily available for the next step.

Step 2: Add Dixa as a Stitch data source

Sign into your Stitch account.
On the Stitch Dashboard page, click the Add Integration button.
Click the Dixa icon.
Enter a name for the integration. This is the name that will display on the Stitch Dashboard for the integration; it’ll also be used to create the schema in your destination.

For example, the name “Stitch Dixa” would create a schema called stitch_dixa in the destination. Note: Schema names cannot be changed after you save the integration.
In the API Token field, paste the API token you copied from step 1.

Step 3: Define the historical replication start date

The Sync Historical Data setting defines the starting date for your Dixa integration. This means that data equal to or newer than this date will be replicated to your data warehouse.

Change this setting if you want to replicate data beyond Dixa’s default setting of 1 year. For a detailed look at historical replication jobs, check out the Syncing Historical SaaS Data guide.

Step 4: Create a replication schedule

Replication schedules affect the time Extraction begins, not the time to data loaded. Refer to the Replication Scheduling documentation for more information.

In the Replication Frequency section, you’ll create the integration’s replication schedule. An integration’s replication schedule determines how often Stitch runs a replication job, and the time that job begins.

Dixa integrations support the following replication scheduling methods:

Replication Frequency
Anchor Scheduling
Advanced Scheduling using Cron (Advanced or Premium plans only)

To keep your row usage low, consider setting the integration to replicate less frequently. See the Understanding and Reducing Your Row Usage guide for tips on reducing your usage.

Step 5: Set objects to replicate

Is an object missing or not replicating? Verify that the object meets the requirements for selection and replication.

The last step is to select the tables and columns you want to replicate. Learn about the available tables for this integration.

Note: If a replication job is currently in progress, new selections won’t be used until the next job starts.

For Dixa integrations, you can select:

Individual tables and columns
All tables and columns

Click the tabs to view instructions for each selection method.

In the integration’s Tables to Replicate tab, locate a table you want to replicate.
To track a table, click the checkbox next to the table’s name. A blue checkmark means the table is set to replicate.
To track a column, click the checkbox next to the column’s name. A blue checkmark means the column is set to replicate.
Repeat this process for all the tables and columns you want to replicate.
When finished, click the Finalize Your Selections button at the bottom of the screen to save your selections.

Important: Using the Select All feature will overwrite any previous selections. However, selections aren’t final until Finalize Your Selections is clicked. Clicking Cancel will restore your previous selections. Refer to the Select All guide for more info about this feature.

Click into the integration from the Stitch Dashboard page.
Click the Tables to Replicate tab.
In the list of tables, click the box next to the Table Names column.
In the menu that displays, click Track all Tables and Fields:

The Track all Tables and Fields menu in the Tables to Replicate tab
Click the Finalize Your Selections button at the bottom of the page to save your data selections.

Initial and historical replication jobs

After you finish setting up Dixa, its Sync Status may show as Pending on either the Stitch Dashboard or in the Integration Details page.

For a new integration, a Pending status indicates that Stitch is in the process of scheduling the initial replication job for the integration. This may take some time to complete.

Initial replication jobs with Anchor Scheduling

If using Anchor Scheduling, an initial replication job may not kick off immediately. This depends on the selected Replication Frequency and Anchor Time. Refer to the Anchor Scheduling documentation for more information.

Free historical data loads

The first seven days of replication, beginning when data is first replicated, are free. Rows replicated from the new integration during this time won’t count towards your quota. Stitch offers this as a way of testing new integrations, measuring usage, and ensuring historical data volumes don’t quickly consume your quota.

Replication will continue after the seven days are over. If you’re no longer interested in this source, be sure to pause or delete the integration to prevent unwanted usage.

Dixa table reference

Schemas and versioning

Schemas and naming conventions can change from version to version, so we recommend verifying your integration’s version before continuing.

The schema and info displayed below is for version 1 of this integration.

This is the latest version of the Dixa integration.

Table and column names in your destination

Depending on your destination, table and column names may not appear as they are outlined below.

For example: Object names are lowercased in Redshift (CusTomERs > customers), while case is maintained in PostgreSQL destinations (CusTomERs > CusTomERs). Refer to the Loading Guide for your destination for more info.

activity_logs

The activity_logs lists all information from activity logs for an organization in your Dixa account.

Replication Method	Key-based Incremental
Primary Key	id
Replication Key	activityTimestamp
Useful links	activity_logs schema on GitHub Dixa API method

Join activity_logs with	on
conversations	activity_logs.conversationId = conversations.id
messages	activity_logs.attributes.messageId = messages.id

_type

STRING

activityTimestamp

DATE-TIME

activityType

STRING

attributes

OBJECT

_type

STRING

agent

OBJECT

email

STRING

name

STRING

phoneNumber

STRING

agentId

STRING

agentName

STRING

agentNames

ARRAY

avatalUrl

STRING

avatarUrl

STRING

claimedFromLabel

STRING

claimedFromType

STRING

conversationSubject

STRING

destinationId

STRING

destinationLabel

STRING

destinationType

STRING

fromEndpoint

STRING

message

STRING

messageId

STRING

note

STRING

queueLabel

STRING

reason

STRING

subject

STRING

tag

STRING

tagAdded

STRING

templateName

STRING

transferType

STRING

author

OBJECT

email

STRING

name

STRING

phoneNumber

STRING

conversationId

INTEGER

STRING

conversations

The conversations table lists information about conversations in your Dixa account.

Replication Method	Key-based Incremental
Primary Key	id
Replication Key	updated_at
Useful links	conversations schema on GitHub Dixa API method

Join conversations with	on
activity_logs	conversations.id = activity_logs.conversationId

anonymized_at

INTEGER

assigned_at

INTEGER

assignee_email

STRING

assignee_id

STRING

assignee_name

STRING

assignee_phone_number

STRING

closed_at

INTEGER

conversation_wrapup_notes

ARRAY

created_at

INTEGER

custom_fields

ARRAY

archived

BOOLEAN

attribute_id

STRING

data_type

STRING

identifier

STRING

value

STRING

direction

STRING

dixa_email_integration_id

STRING

dixa_email_integration_sender_name

STRING

facebook_page_id

STRING

facebook_page_name

STRING

forwarding_email

STRING

from_provisioned_phone_number_id

STRING

from_provisioned_phone_number_name

STRING

handling_duration

INTEGER

initial_channel

STRING

last_message_created_at

INTEGER

originating_country

STRING

queue_id

STRING

queue_name

STRING

queued_at

INTEGER

rating_message

STRING

rating_score

INTEGER

ratings

ARRAY

rating_cancelled_timestamp

STRING

rating_created_timestamp

INTEGER

rating_language

STRING

rating_message

STRING

rating_modified_timestamp

INTEGER

rating_offered_timestamp

INTEGER

rating_rated_timestamp

INTEGER

rating_scheduled_for_timestamp

INTEGER

rating_scheduled_timestamp

INTEGER

rating_score

INTEGER

rating_status

STRING

rating_type

STRING

rating_unscheduled_timestamp

STRING

requester_email

STRING

requester_id

STRING

requester_name

STRING

requester_phone_number

STRING

status

STRING

subject

STRING

tags

ARRAY

tags_info

ARRAY

STRING

is_deactivated

BOOLEAN

name

STRING

to_provisioned_phone_number_id

STRING

to_provisioned_phone_number_name

STRING

total_duration

INTEGER

transfer_time

INTEGER

transferee_name

STRING

transferee_number

STRING

updated_at

INTEGER

widget_id

STRING

widget_name

STRING

messages

The messages table contains information about all messages in your Dixa account.

Replication Method	Key-based Incremental
Primary Key	id
Replication Key	created_at
Useful links	messages schema on GitHub Dixa API method

Join messages with	on
activity_logs	messages.id = activity_logs.attributes.messageId

attached_files

ARRAY

author_email

STRING

author_name

STRING

bcc

ARRAY

chat_input_answer

STRING

chat_input_question

STRING

chat_menu_text

STRING

created_at

INTEGER

csid

INTEGER

direction

STRING

duration

INTEGER

from

STRING

from_phone_number

STRING

initial_channel

STRING

is_automated_message

BOOLEAN

recording_url

STRING

text

STRING

ARRAY

to_phone_number

STRING

voicemail_url

STRING

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