IrisX credits are how usage on the platform is measured and billed.
IrisX is organized into different capabilities, such as Analytics & Insights, AI & Machine Learning, and Automation Studio. Within each capability, there are specific activities you can perform.
For example, running a report is an activity within Analytics & Insights, while making an API call is an activity within Apps & Extensions.
Your credit usage appears as line items on your invoice, showing what was used and what it cost.
What are IrisX credits?
IrisX credits are the unit used to measure and price activity across IrisX capabilities.
Rather than pricing every type of activity separately, credits provide a common unit for measuring usage across different parts of the platform.
For example, credits may be consumed when your team:
Runs a report or dashboard
Uses an AI feature
Makes an API call
Sends or receives data through an integration
Runs an automated workflow
Which capabilities consume credits?
IrisX is organized around six core capabilities:
Data Lakehouse
Analytics & Insights
AI & Machine Learning
Apps & Extensions
Integrations & Connectors
Automation Studio
Credits are used when you perform activities within these capabilities that drive specific outcomes for your business.
An activity is a billable event within an IrisX capability.
For example:
One report run
One API call
One automation cycle
Each activity has an associated credit consumption. This means that it is the activities you perform within a capability that determine how many credits you use.
Basic fleet management and asset connectivity are included as part of your platform subscription and do not use credits. This includes standard platform access, device connectivity, and the IoT data foundation.
Examples of credit-consuming activities
Below are example activities within each of the six core IrisX capabilities and their typical credit usage (indicative only):
IrisX capability | Example activities | Credits |
Data Lakehouse | Storing 10 GB of model data and results for one month. | 9 |
Analytics & Insights | Asking AI a question about the fleet and running its queries. | 20–70 |
AI & Machine Learning | Running your own ML model across a fleet of 9,500 assets. | 5,500 |
Apps & Extensions | Keeping a custom maintenance app running for one day. | 210 |
Integrations & Connectors | Sending 1,000 fault code notifications via webhook. | 125 |
Automation Studio | Importing machinery data from a CSV or Excel file. | 75 |
How much is a credit worth?
To find the price of a credit, refer to your contract or contact your account manager for pricing specific to your account.
Further resources
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