Building pay-per-intelligence for AI agents: How Ampersend uses Amazon Bedrock AgentCore Payments
Ampersend just solved the $10M problem: AI agents that route themselves to cheaper models and never overspend.
Why it matters
As AI agents scale, cost control becomes existential. Ampersend's pay-per-intelligence routing on Amazon Bedrock shows how production agents can autonomously optimize spend across models in real-time—a critical capability for any company running multi-model inference at scale.
The key facts
7 to knowAmpersend built pay-per-intelligence routing layer on Amazon Bedrock AgentCore Payments
AI agents autonomously route tasks to most effective model
Pay-per-request model with spending budget constraints
Two-hop payment pattern architecture demonstrated
Feature reduces operational costs for multi-model agent deployments
Pay-per-request model with spending budget controls
AWS Bedrock feature: AgentCore Payments now available for agent builders
Go to the source
AWS Machine Learning Blogaws.amazon.com
Publisher excerpt: In this post, you will learn how Ampersend built a pay-per-intelligence routing layer on top of Amazon Bedrock AgentCore Payments. AI agents autonomously route tasks to the most effective model, pay per request, and operate within spending budgets. You will also see how the two-hop payment pattern…