Sentiment Analysis API + Intercom Integration

Why connect them

The Sentiment Analysis API in Intercom.

Intercom connects businesses with customers through messaging. Integrating APIs with Intercom enables intelligent lead qualification, automated data enrichment, and context-aware conversations. Give your team the data they need instantly.

What you can build

Workflows worth wiring.

Validate visitor email addresses before starting conversations

Enrich lead profiles with company data from business APIs

Score conversations based on external data signals

Automatically tag users based on their domain or company type

Templates

Ready-made ideas.

New message in Intercom conversation Analyze message text → add sentimentText and comparative as conversation note for agents

Conversation Sentiment in Intercom

Show support agents the customer's sentiment and comparative score in Intercom conversation notes.

New message in Intercom conversation Analyze text → if isNegative is true, tag conversation as urgent with normalizedScore

Unhappy Customer Detection in Intercom

Detect unhappy customers in Intercom by flagging conversations with negative sentiment.

Setup

Connect it in a few steps.

Set up with Zapier

1
Set the trigger. Create a Zap with Intercom as the trigger app and "New conversation" as the event. Connect your account.
2
Add the API action. Add APIVerve as the action, select the Sentiment Analysis API, and map your trigger data to the request.
3
Send it back. Add a second Intercom action for "Create user" and map the returned fields (like comparative) into it.
4
Test & turn on. Test the Zap with real data to confirm the mapping, then turn it on.

Set up with Make

1
Add the trigger. Create a scenario and add a Intercom module set to "New conversation". Authenticate your account.
2
Call the API. Add an HTTP module pointing at api.apiverve.com/v1/sentimentanalysis with your x-api-key header. Pass the trigger's data as the input.
3
Parse & map. Add a JSON module to read the response, then a Intercom module for "Create user". Map fields like data.comparative into place.
4
Activate. Run once to confirm the mapping, then switch the scenario on and set its schedule.

Set up with n8n

1
Add the trigger node. Start a workflow with a Intercom trigger node for "New conversation" and connect your credentials.
2
Add an HTTP Request node. Point it at api.apiverve.com/v1/sentimentanalysis using Header Auth (x-api-key). Feed in the trigger data.
3
Map with expressions. Add a Intercom node for "Create user" and reference the response with expressions such as {{ $json.data.comparative }}.
4
Execute & activate. Execute manually to verify, then activate the workflow for production.

The payload

What Intercom receives.

comparative0.25

sentimentText"positive"

sentiment3

isPositivetrue

isNegativefalse

normalizedScore0.3

Sentiment Analysis API + Intercom