Developer Resources and API Documentation

Getting Started with Iterato's Developer Resources

Iterato provides developer-friendly tools and documentation to help you integrate AI-powered feedback collection into your product. Whether you're building a custom integration or extending Iterato's functionality, our developer resources guide you through the process.

To access our technical documentation and API resources, visit the Developer section of our website. You'll find everything needed to connect Iterato's conversational feedback engine to your platform.

• Visit iterato.ai/developer for full technical documentation

• No credit card required to explore our free tier and test integrations

• Access code samples and integration guides for common use cases

Understanding Iterato's Core Features for Developers

Iterato's platform is built around two main feedback mechanisms: reaction-based feedback and AI-powered conversational feedback. Understanding these features will help you design better integrations for your users.

Reaction-based feedback captures quick user responses with minimal friction, while our conversational AI engine asks intelligent follow-up questions based on user behavior and business context. Both can be integrated into your application's workflow.

• Reaction-based feedback: Simple, high-engagement collection mechanism

• AI-powered conversational feedback: Adaptive chat that responds to user behavior and business events

• Event-triggered feedback: Launch feedback collection based on specific user actions or milestones

API Integration Basics

Iterato's API allows you to programmatically manage feedback collection, retrieve user conversation data, and integrate responses into your product analytics pipeline. The API is designed to be straightforward and developer-friendly.

Before you begin, familiarize yourself with authentication requirements and rate limits. Our documentation includes examples in multiple programming languages to speed up your implementation.

• Authenticate requests using API keys from your Iterato account

• Review rate limiting policies to plan high-volume integrations

• Use webhooks to receive real-time feedback events in your systems

• Access sample code in your preferred programming language

Working with Feedback Data and Logs

One of Iterato's key strengths is providing technical logs alongside user feedback. This means your development team gets context—not just user sentiment, but the technical activity that occurred during the user session.

You can retrieve, filter, and export feedback data through the API. This integration allows you to connect user insights directly to your bug tracking, analytics, and product roadmap tools.

• Access conversation transcripts and technical logs via API endpoints

• Filter feedback by date range, user segment, or business event

• Export data in structured formats for analysis and reporting

• Link feedback to specific user sessions and device information

Custom Integration Examples

Our developer documentation includes real-world examples for common integration scenarios. Whether you're triggering feedback after a specific user action or syncing responses to your data warehouse, you'll find working code samples.

The Academy section also offers tutorials and best practices for implementing Iterato in different product contexts.

• Trigger feedback collection after critical user events

• Send feedback data to analytics platforms and dashboards

• Automate alerts when critical issues are reported by users

• Build custom dashboards to visualize feedback trends and patterns

Support and Learning Resources

Iterato provides multiple resources to help developers succeed. Beyond technical documentation, the Academy offers training materials and best practices for implementing conversational feedback.

If you encounter issues or have questions, reach out through the standard support channels linked in the Developer section.

• Visit iterato.ai/academy for training and implementation guides

• Review API documentation for complete endpoint references

• Check the developer FAQ for common integration questions

• Contact the support team for help with custom implementations

Best Practices for API Integration

To ensure smooth integration and optimal performance, follow these established best practices. Proper implementation protects your users' experience and ensures reliable feedback collection.

Plan your integration timeline and test thoroughly in a staging environment before deploying to production users.

• Use API keys securely—never commit keys to version control

• Implement proper error handling and retry logic for failed requests

• Test integrations in a staging environment before production deployment

• Monitor API usage and adjust your integration based on performance metrics

• Keep your implementation updated as API versions are released