Endorsal is a powerful tool for managing testimonials and customer feedback through its API. By integrating with Relevance AI, you can automate workflows and harness AI Agents to enhance your social proof collection and management.
Endorsal simplifies the collection and management of social proof, while Relevance AI empowers you to leverage that data through intelligent AI Agents that can automate and optimize your processes.
Intelligent Testimonial Orchestration
The AI agent automatically identifies, collects, and verifies authentic customer testimonials across multiple touchpoints.
Dynamic Social Proof Optimization
Contextual analysis enables the agent to display the most impactful testimonials based on visitor profiles and behavior patterns.
Multi-Channel Distribution Mastery
The agent seamlessly syndicates verified testimonials across various marketing platforms and digital properties.
Relevance AI seamlessly integrates with Endorsal to enhance your workflows by automating the management of testimonials and customer feedback.
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 Relevance AI account
- An Airtable account with access to the base and table you'd like to use
- Authorization (you'll connect securely using OAuth—no sensitive info stored manually)
Security & Reliability
This integration enables seamless management of testimonials and customer feedback through Endorsal's API while leveraging Relevance AI's workflow capabilities. With secure OAuth-based authentication, you can programmatically create and manage testimonials, handle contacts, and automate social proof collection processes.
Key benefits include automated testimonial collection and management, streamlined contact handling, and flexible API endpoints for various use cases.
To get started, ensure you have the required accounts and credentials, including an Endorsal account with API access, a Relevance AI account, and OAuth credentials for Endorsal authentication. Make sure your system supports HTTPS for API calls and has JSON parsing capabilities.
For installation, begin with authentication setup using your OAuth account ID and permission type. Then, configure the base URL for API calls. You can quickly create testimonials, list them, and create contacts using the provided API calls.
In case of common issues like authentication errors or property ID issues, refer to the troubleshooting section for solutions. Implement best practices for error handling, validation, and response handling to ensure smooth operation.
For further assistance, consult the Endorsal API documentation, OAuth configuration guide, and property management documentation.
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.
To get the most out of the 0CodeKit + Relevance AI integration without writing code:
- Start with a clear setup: Ensure your 0CodeKit account is properly configured with the necessary OAuth credentials and permissions.
- Utilize example code: Leverage the provided code snippets for PDF compression and barcode reading to jumpstart your integration.
- Validate inputs: Always check your input parameters for correctness before making API calls to avoid unnecessary errors.
- Test with sample data: Run your automations using test PDFs and images to ensure everything works smoothly before going live.
- Monitor API usage: Keep an eye on your API calls to avoid hitting rate limits, and implement caching where appropriate.
