Agentic AI represents a fundamental shift in artificial intelligence capabilities. Unlike traditional AI workflows, agentic AI systems possess a degree of autonomy and self-direction that allows them to act as 'agents' pursuing goals with minimal human intervention.

How do you price Agentic AI SaaS with variable costs?

Pricing Agentic AI SaaS requires creating sustainable models when underlying costs are highly variable and tied to usage. Unlike traditional software where marginal costs approach zero, Agentic AI introduces ongoing, fluctuating expenses that must be carefully managed in pricing strategy.

What is Agentic AI Pricing about?

Agentic AI Pricing is a publication by Monetizely's experts covering pricing strategies for AI agents, Agentic AI systems, and AI-powered SaaS products. We provide insights on managing variable costs, AI monetization, and navigating the evolving landscape of AI pricing.

Who writes for Agentic AI Pricing?

Content is created by Ajit Ghuman (CEO) and Akhil Gupta (COO/CTO), co-founders of Monetizely, a B2B SaaS and AI pricing consultancy specializing in Agentic AI pricing strategies.

developer pricing

ai api pricing

How to price AI APIs for enterprise buyers vs developers

The fundamental challenge of pricing AI APIs lies not in choosing between enterprise and developer audiences, but in recognizing that these segments represent fundamentally different buying behaviors, risk tolerances, and value perceptions. According to research from Menlo Ventures, model API spending more than doubled to $3.5 billion by mid-2025,

api and ui pricing

Designing packaging for AI products with both API and UI buyers

Perfect! I found highly relevant content. Now I'll write the comprehensive blog post. The modern AI landscape presents a unique monetization challenge: products must simultaneously serve two fundamentally different buyer personas with distinct needs, expectations, and purchasing behaviors. On one side, technical developers demand transparent, usage-based API access