Emotion analysis.
Read the emotional tone expressed in a message, with eight emotion scores, intensity, and confidence.
EmpatiQ API For developers
Understand the emotion.
Respond with Emery.
Bring emotion analysis, Emery’s full conversation experience, and digital twin creation into your product. Add memory, context, and tools to the conversations your users need.
Emotion analysis · Emery with memory & tools · Digital twins
Your application
Help me continue the conversation with Alex and save the next step.
Conversation context + Connected tools
Emery response Illustrative
{
"conversation_id": "conversation_example",
"message": "Let’s build on the wording we worked on with Alex. I’ve saved your next step to this conversation.",
"tool_results": [
"Recall conversation",
"Save next step"
]
}An ongoing conversation, with memory and tools.
The full Emery experience.
Bring Emery into your product with ongoing conversations, persistent memory, and connected tools that can act within your workflow.
Digital twin creation.
Create conversational digital twins from a person or role description, with personality, communication style, and emotional behavior shaped for your use case.
Design your integration
More than a reply.
A conversation that continues.
Combine emotion analysis, Emery’s memory and tools, and digital twins in a learning tool, communication coach, or custom conversation experience.
- 01
Tell us what you’re building
Choose emotion analysis, the full Emery experience, digital twin creation, or a combination.
- 02
Connect your context and tools
Define conversation memory, source material, and the actions Emery can take in your product.
- 03
Make the experience yours
Keep your interface and connect through the API designed for your integration.
# Use the endpoint URL supplied for your integration.
curl "$EMPATIQ_INTEGRATION_URL" \
-H "Authorization: Bearer $EMPATIQ_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"message": "I still feel unheard by Alex. Help me continue our conversation and save the next step.",
"conversation_id": "conversation_example",
"locale": "en"
}'Illustrative integration request. We agree endpoint URLs, credentials, memory scope, and tools with your team.
Built around your use case
Emotion intelligence.
Memory. Tools. Digital twins.
Start with the capabilities your product needs. We work with your team to define the integration, its context, and how it fits your users’ workflow.
- Emotion labels, intensity, confidence, and eight emotion scores
- Emery’s full conversations with persistent memory and connected tools
- Digital twins shaped by profiles, scenarios, and source context
- Account-scoped persona listings and text chat
Memory, tool access, source material, and delivery are agreed as part of your integration. Talk through your requirements.
Before you build
A few useful answers.
What does emotion analysis return?
A message’s expressed emotional tone, intensity, confidence, and independent scores for joy, trust, fear, surprise, sadness, disgust, anger, and anticipation. The analysis describes the tone of the text.
What is the full Emery experience?
Ongoing conversations with Emery, including persistent memory, relevant context, and connected tools. Emery can carry earlier conversations forward and work with documents or actions you connect as part of your integration.
What is digital twin creation?
Create a conversational representation of a person or role from a profile, scenario, or source material. Shape its personality, communication style, emotional behavior, and context for practice, simulation, or a custom experience.
How do I get API access?
Contact the EmpatiQ team with your use case. We’ll work through the capabilities, endpoint contract, memory, tools, and access your integration needs.
Can I use this in my existing app?
Yes. Call the API from your backend and show the response in your own interface. You can use any language that supports HTTP and JSON.
How does conversation memory work?
For an Emery integration, we define how conversations are identified, what Emery remembers, and which context and tools it can use. The existing persona chat API also supports app-managed history through conversationHistory.
How does API pricing work?
Pricing depends on your capabilities, usage, memory, and tool requirements. The existing persona chat API uses a minutes allowance. Discuss an API plan for your integration.
Build with EmpatiQ