LiveChat
by Text
Live chat software for websites with chat archives, canned responses and reports.
- Category
- Support & Feedback
- Type
- Live chat
- Interface
- REST API
- Built with
- Connect Any API
- Credentials
- Access token, OAuth 2.0
02Data
What you can sync.
- Chats
- Customers
- Agents
- Reports
- Groups
Join LiveChat chats with orders and accounts, so service quality shows up next to revenue and churn.
Need more? Name any other LiveChat data the API returns, and the AI adds it to the connector.
03Credentials
Credentials you will need.
- An access token
- OAuth 2.0 (client ID, client secret, refresh token)
LiveChat uses an access token or OAuth 2.0 (client ID, client secret, refresh token). You add the credentials once, when the AI asks for them, and it tells you where to create them in Text if you need help.
04How it works
How it works in DataMind.
-
Pick LiveChat.
Open Lake, pick LiveChat in the source picker and name the connection. Connect Any API opens with a ready prompt that points the AI at the LiveChat API docs.
-
Answer a few questions.
The AI reads the LiveChat documentation, then asks which credentials you will use, which data to sync (for example chats and customers), whether you want a one-time load or a recurring sync, and which accounts or filters apply.
-
Your data lands in Lake.
It builds the connector, tests it and shows you sample rows. Then LiveChat data loads into your Lake on your schedule, ready for the Warehouse, DataPrism BI and AI Minds.
