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- 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
- FAQs and more
Communications Mining user guide
Last updated Aug 11, 2025
All the available API routes are listed below.
| METHOD | URL | DESCRIPTION |
|---|---|---|
| GET | /api/v1/sources | Retrieve metadata about all accessible sources |
| GET | /api/v1/sources/<project> | Retrieve metadata about all sources in a project |
| GET | /api/v1/sources/<project>/<source_name> | Retrieve metadata about a source by name |
| GET | /api/v1/sources/id:<source_id> | Retrieve metadata about a source by id |
| PUT | /api/v1/sources/<project>/<source_name> | Create a source |
| POST | /api/v1/sources/<project>/<source_name> | Update a source |
| DELETE | /api/v1/sources/id:<source_id> | Delete a source by id |
| METHOD | URL | DESCRIPTION |
|---|---|---|
| GET | /api/v1/datasets | Retrieve metadata about all accessible datasets |
| GET | /api/v1/datasets/<project> | Retrieve metadata about all datasets in a project |
| GET | /api/v1/datasets/<project>/<dataset_name> | Retrieve metadata about a dataset by name |
| PUT | /api/v1/datasets/<project>/<dataset_name> | Create a dataset |
| POST | /api/v1/datasets/<project>/<dataset_name> | Update a dataset |
| DELETE | /api/v1/datasets/<project>/<dataset_name> | Delete a dataset by name |
| POST | /api/v1/datasets/<project>/<dataset_name>/export | Export a dataset by name |
| METHOD | URL | DESCRIPTION |
|---|---|---|
| POST | /api/v1/sources/<project>/<source_name>/sync | Create or update comments |
| POST | /api/v1/sources/<project>/<source_name>/sync-raw-emails | Create or update comments from raw emails |
| METHOD | URL | DESCRIPTION |
|---|---|---|
| GET | /api/v1/sources/<project>/<source_name>/comments/<comment_id> | Retrieve comment by ID |
| DELETE | /api/v1/sources/<project>/<source_name>/messages?id=<message_id0>[&id=<message_id1>...] | Delete comments by ID |
| METHOD | URL | DESCRIPTION |
|---|---|---|
| GET | /api/v1/datasets/<project>/<dataset_name>/labellers/<version>/validation | Get model statistics |
| POST | /api/v1/datasets/<project>/<dataset_name>/labellers/<version>/predict | Get predictions |
| POST | /api/v1/datasets/<project>/<dataset_name>/labellers/<version>/predict-comments | Get predictions by comment ID |
| POST | /api/v1/datasets/<project>/<dataset_name>/labellers/<version>/predict-raw-emails | Get predictions for raw emails |
| METHOD | URL | DESCRIPTION |
|---|---|---|
| GET | /api/v1/datasets/<project>/<dataset_name>/streams/<stream_name> | Get a stream by name |
| GET | /api/v1/datasets/<project>/<dataset_name>/streams | Get all streams |
| PUT | /api/v1/datasets/<project>/<dataset_name>/streams | Create a stream |
| PUT | /api/v1/datasets/<project>/<dataset_name>/streams/<stream_name>/exceptions | Tag an exception |
| POST | /api/v1/datasets/<project>/<dataset_name>/streams/<stream_name> | Update a stream |
| POST | /api/v1/datasets/<project>/<dataset_name>/streams/<stream_name>/fetch | Fetch comments from a stream |
| POST | /api/v1/datasets/<project>/<dataset_name>/streams/<stream_name>/advance | Advance a stream |
| POST | /api/v1/datasets/<project>/<dataset_name>/streams/<stream_name>/reset | Reset a stream |
| DELETE | /api/v1/datasets/<project>/<dataset_name>/streams/<stream_name> | Delete a stream |
| DELETE | /api/v1/datasets/<project>/<dataset_name>/streams/<stream_name>/exceptions | Untag an exception |
