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Digital Wallet Report by Feature Examples
After you create your own version of a Consumption by Feature report, you can decide which features you want to track consumption for in this report. Here are some example feature reports for some popular Salesforce features.
These examples assume you’ve created a report based on the existing Consumption by Feature report.
Report on Usage for Agentforce Coworker
Powered by Data 360, Agentforce Coworker is your AI-powered agent, connecting all your work tools into one conversational interface. Instead of juggling several different apps and pages, you can use Agentforce Coworker to find information, complete tasks, and work with your team and your customers, all in one place.
First, create your own report from the Consumption by Feature report. After you save the out-of-the-box Consumption by Feature report to a new name, you can narrow the scope of the report to just show consumption for Agentforce Coworker.
Click Edit, then add a new filter, where Feature
Developer Name equals AgentforceCoworker. Modify any of the other filter
options as required.
Save and run the report.
Report on Usage for Agentforce Vibes
Agentforce Vibes shifts Salesforce development beyond traditional chat assistants into an autonomous, agent-driven engineering workflow. It coordinates multiple specialized sub-agents, manages end-to-end project planning, optimizes context boundaries, and automatically suggests code completions as you type.
Agentforce Vibes usage is tracked under Flex Credits as either Standard or Advanced prompts on the consumption card insights page. You can create a report for Agentforce Vibes consumption by user ID based on the existing Consumption by Feature report. (hotlink to topic above)
After you save the out-of-the-box Consumption by Feature report to a new name, you can narrow the scope of the report to just show consumption for Agentforce Vibes.
Click Edit, then add a new filter, where
Feature Developer Name equals AgentforceVibesExtension. To show usage per
user, for Group Rows, select User ID. Modify any of the other filter
options as required.
Save and run the report. When you run the report, you see usage broken down by user ID.
