- Introduction
- Setting up your account
- Balance
- Clusters
- Concept drift
- Coverage
- Datasets
- General fields
- Labels (predictions, confidence levels, label hierarchy, and label sentiment)
- Models
- Streams
- Model Rating
- Projects
- Precision
- Recall
- Annotated and unannotated messages
- Extraction Fields
- Sources
- Taxonomies
- Training
- True and false positive and negative predictions
- Validation
- Messages
- Access Control and Administration
- Manage sources and datasets
- Understanding the data structure and permissions
- Creating or deleting a data source in the GUI
- Uploading a CSV file into a source
- Preparing data for .CSV upload
- Creating a dataset
- Multilingual sources and datasets
- Enabling sentiment on a dataset
- Amending dataset settings
- Deleting a message
- Deleting a dataset
- Exporting a dataset
- Using Exchange integrations
- Model training and maintenance
- Understanding labels, general fields, and metadata
- Label hierarchy and best practices
- Comparing analytics and automation use cases
- Turning your objectives into labels
- Overview of the model training process
- Generative Annotation
- Dastaset status
- Model training and annotating best practice
- Training with label sentiment analysis enabled
- Training chat and calls data
- Understanding data requirements
- Train
- Introduction to Refine
- Precision and recall explained
- Precision and Recall
- How validation works
- Understanding and improving model performance
- Reasons for label low average precision
- Training using Check label and Missed label
- Training using Teach label (Refine)
- Training using Search (Refine)
- Understanding and increasing coverage
- Improving Balance and using Rebalance
- When to stop training your model
- Using general fields
- Generative extraction
- Using analytics and monitoring
- Automations and Communications Mining™
- Developer
- Exchange Integration with Azure service user
- Exchange Integration with Azure Application Authentication
- Exchange Integration with Azure Application Authentication and Graph
- Fetching data for Tableau with Python
- Elasticsearch integration
- Self-hosted Exchange integration
- UiPath® Automation Framework
- UiPath® Marketplace activities
- UiPath® official activities
- How machines learn to understand words: a guide to embeddings in NLP
- Prompt-based learning with Transformers
- Efficient Transformers II: knowledge distillation & fine-tuning
- Efficient Transformers I: attention mechanisms
- Deep hierarchical unsupervised intent modelling: getting value without training data
- Fixing annotating bias with Communications Mining™
- Active learning: better ML models in less time
- It's all in the numbers - assessing model performance with metrics
- Why model validation is important
- Comparing Communications Mining™ and Google AutoML for conversational data intelligence
- Licensing
- Enabling Communications Mining™
- Unified Pricing
- Flex Plan
- FAQs and more

Communications Mining user guide
Unified Pricing
The following table shows the features available in Communications Mining, within IXP, based on the Platform plan:
Feature | Feature description |
Free | Basic Trial | Standard Trial | Enterprise Trial | Basic | Standard | Enterprise |
---|---|---|---|---|---|---|---|---|
Communications Data (Communications Mining™) | Access to Communications Mining capabilities, except for CMEK. | No | No | Yes | Yes | Available for Basic+ only* | Yes | Yes |
Customer Managed Encryption Key (CMEK) through multi-tenant and dedicated storage | Dedicated Communications Mining storage, or tenant for customer, that enables CMEK.
Note: You must submit a request to enable this feature. For more details, contact your Sales representative.
| No | No | No | No | No | No | By request |
The following table shows which user licenses provide access to Communications Mining™:
Unlicensed | Express | Basic | Plus | Pro |
---|---|---|---|---|
No | No | Yes | Yes | Yes |
Communications Mining™ utilization is measured based on the consumption rate of units.
In Communications Mining, units are consumed when data is uploaded to the platform, at a rate of 0.2 Platform Units per upload, as follows:
- Per created message, for example, a comment in the API, such as an email.
- Per updated message, if the text of the data was modified.
You will be charged 0.2 Platform Units per message for the following operations:
- Uploading data into the platform via the API.
- Uploading comments or raw emails (sync and sync-raw-email routes).
- Fetching predictions for comments or raw emails that are not in the platform (predict and predict-raw-email routes).
- Uploading data into the platform via the CLI.
- Uploading data into the platform via integrations.
- Syncing emails via the Exchange Integration
- Syncing Salesforce objects via the Salesforce Integration
- Uploading data into the platform via the platform user interface.
Once uploaded, Communications Mining stores messages with no additional charge for 2 years.
This section outlines how metering and charging for Platform Units are determined based on the type of operation you perform:
Product | Capability | Charge details | Activity or model | Platform Units consumed |
---|---|---|---|---|
Intelligent Extraction (IXP) | Communications Data (Communications Mining™) | Per Message uploaded, modified, or predicted | Classification and extraction | 0.2 |