- 13 Feb 2025
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Billing
- Updated On 13 Feb 2025
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The Billing page contains features and pages to manage your subscription, organize and report your Dataloop usage, and manage your consolidated billing if you are part of an enterprise organization. The following tabs are available in the billing page to display various categories of Dataloop billing information:
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Subscription
Every organization in the Dataloop platform has at least one active subscription. A subscription is made of:
- A collection of quotas for different usage metrics.
- A payment method attached to it.
- Settings, such as period (monthly or annual), auto-renewal, and others.
- The price of the respective period.
The subscription page provides an easy and convenient way to review all subscription-related information and actions in a single place.
- Your plan: The plan currently linked to your account (for example, Free edition or other), and your next renewal date.
- Subscription details: Click to view the features included with your Subscription.
- Features & Services: Lists the quotas in your subscription for the various metrics and the usage count for each one of them.
- The usage information provided corresponds to the respective subscription period, and the remaining usage is what is available until your next renewal date.
- Subscription consumption counting started on January 5th 2023, which may reflect different numbers vs. the Usage page
Invoices History - an invoice is generated on every subscription renewal event. Invoices are emailed to the address on file, recent invoices are listed on this page and can be downloaded.
Usage Metrics
Subscription uses the following usage metrics:
- Annotation tool hours: The number of hours using the various annotation tools/studios as well as respective assignment/task browsers, as these are used for bulk annotation tasks.
- Data points: Number of file items and annotations created.
- Every file is 1 data point
- Every annotation is 1 data point
- In frames based files, such as video and LiDAR, every annotation on a keyframe, and every changed annotation in an interpolated frame are counted as data points.
- A key-frame is a frame where manual annotation creation or editing was done.
- An interpolated frame is a frame somewhere between 2 keyframes, in which an annotation was changed by an algorithm or a model.
- Annotations in an interpolated frame, that has no change vs. the last keyframe, are not counted as data-points.
- Deleted annotations are not counted as data points
- Annotations hidden in the annotation-studio still exist in the system and therefore counted as data points.
- API Calls: Number of API calls made through SDK and API interfaces. It does not include API calls for uploading items to a dataset.
- Hosted storage: Total size of file items hosted on the Dataloop storage. This is not consumed when synching external cloud storage from S3, GCS, Azure, and others.
- Compute Hours (By type): The number of hours used by compute resources of the specified type from the Dataloop catalog. For example, Regular-XS.
- Compute hours (system functions): A few functions of Dataloop require using dedicated compute resources. Initial operation is consumed from this quota.
Subscription Usage Count
Your organization's usage is taken from all projects billed to your account. By default, projects created by organization members are owned and billed to it. Also, you can set a project for billing from one organization while another remains its owner.
Usage data is collected from all respective projects, aggregated and deducted from the subscription accordingly.
Usage
The usage tab on the billing page summarizes the following usage metrics and information:
Counters:
Max Datapoints: Provides the total number of data points, such as Items, Annotations, and Keyframes.
UI Hours: Total annotation studio time used by all users.
Serverless Automation: Serverless Automation refers to a feature that allows organizations to monitor, manage, and control their compute resource usage within a predefined budget. It displays the total hours/cost spent by the current organization. Users can view compute usage by cost or hours. This feature is active only if the organization has a compute budget.
Click
to generate the details in a CSV file.To generate a monthly report, click
.
Columns:
- Project Name: The name of the project
- Owning Organization: The organization name of the project.
- Max Managed Items: The maximum amount of items currently managed on the Dataloop system, across all projects and storage types (internal/external).
- Total Storage: The storage space used by all projects combined.
- UI Hours: Annotation studio time used by all users per project.
- Max Annotations: The maximum number of annotations currently in the organization's projects.
- Max Keyframes: It refers to the maximum number of keyframes that can be utilized or processed within your account. Keyframes are specific frames in a video where annotations are explicitly defined, allowing for efficient tracking and labeling of objects throughout the video sequence.
- API Calls: The number of API requests to the server in your projects.
- Serverless Automation: It refers to a feature that allows organizations to monitor, manage, and control their compute resource usage within a predefined budget. It displays the total hours/cost spent by the project. Users can view compute usage by cost or hours. This feature is active only if the organization has a compute budget.
- GPU: Hours of GPU used by Applications (FaaS) / services.
- CPU: Hours of CPU used by Applications (FaaS) / services.
- System Compute: It refers to the total compute resources used by all machines categorized under the
system
service type.
Project Details
The usage information is also detailed on the project level, allowing you to learn more about consumption from the different projects.
- Sort the list by its various columns to learn more about the consumption of the different projects on each related metric.
- Use the search box to search for a specific project and filter by it.
- The list provides further details about CPU and GPU usage, by breaking it down into specific machine types.
Account Information
The organization's business information, as provided when creating the subscription, can be reviewed and changed as needed. The payment method that's on file is listed for review as well.
- To add a payment method: Click Add in the Business Details & Payment Method section and enter required details.
- To edit the business details: Click Manage in the Business Details section and edit the information.
The usage information gives you an in-depth analysis of your organization’s use of the Dataloop services. You can access it from the organization-related menu section on the left-side menu.
The usage information is counted and presented only for projects that are billed to your organization’s account. The projects that are not billed in your organization are not presented or accounted for.
The information on this page is displayed every month, with the current month as the default. Use the month-selection option to review consumptions in past months.
You can download the data available on this page as a CSV file to use it with your system or perform further analysis.
You can copy the account ID by clicking on the Copy to clipboard icon.
Alerts
The Alerts tab provides real-time notifications about system limits, helping users manage resources effectively. These alerts are triggered when usage approaches or exceeds predefined limits in various categories, such as:
- Compute Budget: Notifies when compute resources are nearing or exceeding allocated limits.
- Data Points: Tracks usage of labeled data points to ensure efficient dataset management.
- Compute CPU Limits: Alerts when CPU usage surpasses designated thresholds.
- Hosted Storage Limits – Monitors storage consumption to prevent overuse and ensure smooth operations.
Each alert entry includes the following details:
- Alert Date: The timestamp of when the alert was generated.
- Status: Indicates whether the alert is active, resolved, or pending action.
- Percentage of Used Limit: Displays how much of the allocated limit has been consumed.
- Description: Provides additional context on the alert and possible actions to take.
- Account Name: Specifies the account associated with the alert.
These alerts enable users to proactively manage their resources, preventing disruptions and optimizing system performance.