Linking Dixa as a source

Alpha release

This source is currently in alpha. The interface and available tables may change.

Sync your Dixa customer service data – conversations, agents, end users, queues, and tags – into the PostHog data warehouse.

Adding a data source

  1. Go to the sources tab of the data pipeline section in PostHog.
  2. Click + New source and then click Link next to Dixa.
  3. Generate an API token in Dixa under Settings > Integrations > API Tokens. You need an admin-level token. The same token covers both the main API and the Exports API.
  4. Back in PostHog, paste the token in the API token field and click Next.
  5. Select the tables you want to sync, set the sync method and frequency, then click Import.

Once the syncs are complete, you can start using Dixa data in PostHog.

Available tables

TableDescriptionSync method
conversationsCustomer conversations exported via the Dixa Exports APIIncremental
agentsSupport agentsFull refresh
endusersEnd users (customers)Full refresh
queuesQueue configurationsFull refresh
tagsTags used for organizing conversationsFull refresh

Incremental tables sync only new or updated records on each run. Full refresh tables reload all data on each sync.

Sync limitations

The conversations table uses the Dixa Exports API, which is rate limited to 10 requests per minute. Data is fetched in 30-day windows, so large historical backfills may take a while.

Configuration

OptionTypeRequired
API tokenpasswordYes

Supported tables

TableDescriptionSync methodIncremental fieldPrimary key
conversations

A customer service conversation from the Dixa Exports API, with timing and handling metrics.

Incremental, Full refreshupdated_at
agents

An agent (team member) in the Dixa account.

Full refresh
endusers

An end user (customer) record in the Dixa account.

Full refresh
queues

A queue that conversations are routed into for handling by agents.

Full refresh
tags

A tag that can be applied to conversations to categorize them.

Full refresh

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