Junip is a leading platform for collecting and analyzing customer feedback and reviews.
Enhance your feedback management with AI Agents that can automatically gather insights, analyze sentiment, and take action based on customer input.
Junip excels at gathering and analyzing customer feedback at scale. Relevance AI transforms this feedback data into intelligent action through AI Agents that can automatically respond, analyze sentiment, and drive improvements.
Dynamic Feedback Analysis
The agent can analyze customer sentiment in real-time, adapting responses based on emotional cues.
Automated Insight Generation
It compiles actionable insights from customer feedback, streamlining decision-making for product teams.
Enhanced Customer Experience
The agent personalizes interactions based on feedback, leading to improved satisfaction and retention.
Relevance AI gives you access to Junip's feedback collection and analysis capabilities within your automated workflows.
What you’ll need
You don't need to be a developer to set up this integration. Follow this simple guide to get started:
- A Junip account
- A Relevance AI account with access to your project settings
- Authorization (you'll connect securely using API keys—no sensitive info stored manually)
Security & Reliability
The integration uses secure OAuth authentication, ensuring only authorized workflows access your Junip data. Relevance AI handles API operations (like GET, POST, PATCH, DELETE) in the background—so you don't have to worry about errors, formatting, or limits.
Built-in validation and type conversion ensure your workflows run smoothly, even when data formats vary.
No training on your data
Your data remains private and is never utilized for model training purposes.
Security first
We never store anything we don’t need to. The inputs or outputs of your tools are never stored.
Best Practices for Non-Technical Users
To get the most out of the Junip + Relevance AI integration without writing code:
- Configure OAuth properly: Ensure correct Junip account authorization and permission settings.
- Structure API requests: Use clear path parameters and appropriate HTTP methods for each endpoint.
- Validate response data: Check response status codes and body content before processing.
- Handle rate limits: Implement appropriate delays between API calls to avoid throttling.
- Monitor integrations: Regularly check API logs and response patterns for optimal performance.
