Chat Analytics API

Marsview Chat Analytics is a suite of API to analyze the internal conversations across all chat channels and groups.

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FAQ

  • What is Chat Analytics used for?

    Customer experience technology and service providers or organizations that run internal contact centers use chat-based channels for customer conversations. Sales and Support Agents and their Supervisors use these channels for one-to-one or many-to-many interactions for information exchange. The effectiveness of these channels is key to the success of a call center. Chat Analytics helps you measure the performance of agent/supervisor interaction at individual and group levels.

  • What are the supported chat channels?

    We support Zoom, Microsoft and all other chat applications that provide APIs to capture chat streams live or in an asynchronous mode.

  • What is the Marsview API platform?

    Marsview conversation self-service API platform offers a comprehensive suite of proprietary APIs and developer tools for automatic speech recognition, speaker separation, multi-modal emotion and sentiment recognition, intent recognition, time-sequenced visual recognition, and more. Designed for the demanding Call Center environments (CCAI) that handle millions of outbound and inbound sales and support calls.
    Marsview APIs provide end-to-end workflows from call listening, recording, insights generation, and Voice of Customer Insights. Conversation APIs are also used in one-on-one to many-to-many conversations and meetings to automatically generate rich contextual feedback, key topics, moments, actions, Q&A;, and summaries.

Features

Input

Asynchronous files or recordings

Pass a text file or an image or video input for processing.

Synchronous live streams

Pass a text or an image or video stream for processing.

Output

JSON format

API output data is delivered in JavaScript Object Notation (JSON) format.

Chat Insights

Group emotions

Convert speech into readable text from a live stream or from audio and/or video recordings in minutes.

Chat type

Automatically tag and group chat conversations into buckets like Escalations, Questions & Responses, FAQ, Chit-chat, Actions Items, Follow-ups and more.

Response time

Average response time of a supervisor to a request from an agent.

Q&A; detection

Automatically detect questions and related responses on chat groups.

Knowledge base curation

Curate the questions and responses automatically by topic and type of question to form a reusable knowledge base.

Automatic ticket detection

Detect support ticket ids from the chat messages for quick accessibility and actions.

Chat search

Indexed words and phrases over chat channels and group may be searched in natural language.

Action item detection

Detect phrases that are action items in the chat interactions.

Channel conversation insights

Get deep insights into the effectiveness of the communication process over chat groups and channels. Please refer to the Conversation Insights API page for more information.

Leaderboard

Visualize the performance of agents and supervisors by key metrics for process improvement.

PII redaction

Automatically detect and replace sensitive data like passwords, credit card numbers and social security numbers,in the transcription text.

Content safety detection

Automatically detect sensitive content in your transcriptions, such as content involving cyberbullying, sexual harassment, hate speech, violent threats, suicide/self-harm, PII, drugs, weapons, NSFW content and more.

Customization

Custom enhancements

With the “Build your own custom API” option, you can extend the Chat Analytics to include other metrics and KPI provided there is data available to be processed.

Security and Support Declaration

High uptime and 24x7 support

99.9% uptime with always-on support via email, chat and web call.

Robust security

Marsview encrypts all data via 256-bit SSL encryption and complies with GDPR and CCPA standards.

Deployment options

Optimized for public cloud and private on-premise deployments.


Use cases
  • CRM systems to measure agent metrics
  • Customer Experience management
  • Response time and SLA analysis
  • Chat Data Visualization
Benefits
  • Improve agent performance
  • Analyze group and individual sentiments
  • Improve response times