API Documentation
Comprehensive guide to using the Vambe Kategor API for conversation analysis and AI agent auditing
Introduction
Kategor is a REST API developed by Vambe for analyzing conversation metadata, tagging interactions, and auditing AI-assisted chats. This tool is designed to help businesses enhance their customer interactions by offering insights into conversation patterns, agent performance, and customer needs.
The system can be particularly helpful for sales or customer success teams who want to improve their customer service processes, fine-tune AI models for customer interactions, or gain clearer insights into how customers communicate.
Includes webhook functionality, allowing it to work smoothly with other systems. This feature enables automated actions based on the results of conversation analysis. The system also provides detailed agent analysis, which can be useful for assessing and improving the performance of both AI models and human customer service representatives.
Our API serves as a tool for managing and analyzing conversations in customer service settings. Its main goal is to extract practical insights from communication data, which businesses can use to make informed decisions and improvements.
Key Features
- Conversation Analysis: The core feature is the ability to submit conversations for analysis. This includes extracting metadata, applying tags, categorizing conversations, and deriving insights.
- Organization Management: The API allows for creating and managing organizations, which likely represent different clients or departments using the system.
- AI Chat Auditing: Evaluate the quality and effectiveness of AI-assisted conversations.
- Prompt Quality Assessment: Analyze the quality of prompts used in AI interactions.
- Agent Performance Analytics: Generate comprehensive reports on AI agent functionality and efficiency.
- Webhook Integration: There’s support for setting up webhooks, allowing real-time notifications to be sent to other systems when certain events occur.
- Conversation Retrieval: Users can fetch individual conversations or paginated lists of conversations, allowing for review and further analysis.
- Agent Analysis: The API provides endpoints for analyzing the performance and behavior of agents (both AI and human) involved in conversations. This includes overall statistics and detailed analysis of individual agents.
Getting Started
Go to the API Reference section here. To begin using the Kategor API, you’ll need to sign up for an API key. Once you have your key, you can start making requests to our endpoints.
Let’s talk
Please contact our sales team for enterprise-level support and custom integrations.