Agents & Indicators
Agents & Indicators
Understanding agents and indicators is fundamental to using Paygent effectively. They’re the building blocks of how Paygent tracks and bills for AI usage.
Scenario: Meet Sarah, who runs an e-commerce AI platform. Her system has a customer support chatbot, a product recommendation engine, and an email generator. Each of these does different things, costs different amounts, and provides different value. How does she track them separately?
Solution: With Paygent, Sarah defines each AI component as an Agent and each action as an Indicator:
Now Sarah can see exactly how much each AI component costs and which actions her customers use most.
Result: Sarah can now track that her chatbot handles 10,000 messages/month, recommendations generate 50,000 suggestions, and the email tool creates 2,000 emails. She bills customers accurately based on what they actually use.
🤖 What is an Agent?
An Agent is a distinct AI component or workflow in your application. Think of it as “who is doing the work.”
Examples:
- Customer support chatbot
- Code review assistant
- Content generator
- Data analyzer
⚡ What is an Indicator?
An Indicator is a specific action performed by an agent. Think of it as “what work was done.”
Examples:
message-sentarticle-generatedcode-reviewedreport-created
Best Practice: Choose descriptive agent names and indicator names that clearly describe what’s happening. This makes your usage data easy to understand and analyze later.
Good: customer-support-bot + message-sent
Avoid: agent1 + action
