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Introduction Many websites treat crawlers and scraping agents as unwanted traffic. An alternative approach is to monetize that traffic with a pay per crawl model. This post explains what pay per crawl is, how it works, who benefits, and practical considerations for implementing it so you can turn bot requests into predictable revenue instead of…
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Introduction AI trading agent payments are becoming a critical operational detail for firms that run algorithmic strategies. When payments between counterparties, or to agents themselves, are visible on public rails, they can reveal signals about strategy performance, frequency, and counterparty relationships. This post explains the privacy risks, how information leakage happens, and practical approaches—especially private…
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The rise of autonomous software agents changes how companies consume cloud services and drives the need for practical AI agent SaaS billing. Unlike human users, agents act independently, create high-frequency small transactions, and may require private settlement paths. This article explains the real-world challenges and provides a clear implementation plan so product and billing teams…
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Introduction: What is AI agent checkout? AI agent checkout is a new approach that lets intelligent agents complete purchases on behalf of customers. For merchants, this can mean higher conversion rates, faster checkout flows, and improved accessibility for customers who prefer conversational or automated buying experiences. This article explains how agentic checkout works, what privacy…
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Introduction An AI agent treasury refers to systems where autonomous software holds, moves, and manages funds on behalf of an organization or protocol. As teams adopt AI-driven workflows, architects must balance autonomy with safety: the treasury should enable efficient operations while preserving privacy and strong controls. This article explains practical patterns for an AI agent…
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Introduction Pay-per-inference billing is changing how companies price AI features in agent-driven products. Instead of charging per seat or a flat subscription, this model bills for each model call — the actual inference an AI makes. For product teams and finance leads, this aligns cost with usage, simplifies budgeting for sporadic workloads, and can make…
