Skill marketplace monetization

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This entry sits under Agent Payment Infrastructure Research Report. Read it with The Agent Actorship Debate: 4 Camps for adjacent context and FinWiki index for the broader system boundary.

[!info] TL;DR LLMs and Skill form a 2-layer division of labor in the AI industry. LLMs are an oligopolistic infrastructure (training costs in the billions of dollars); Skills are an application layer anyone can enter (development completed by one person in a few hours). This tiered structure is isomorphic to the OS/App relationship of iOS/App Store.

Skills are currently almost all free, but 3 forces are irreversibly driving monetization. Operating costs become unsustainable as call volume grows · a free marketplace cannot foster quality competition · and platforms need to secure revenue from ecosystem transactions (Stripe already provides billing infrastructure via ACP/MPP).

Skill monetization is a native catalyst for transaction volume in the A2A economy. Each time an agent calls a paid Skill, a microtransaction occurs (payment preferentially routes through USD Stablecoin Interchange Market, and the wallet is ERC-4337 or ERC-7702 based). When an average of 5-20 Skills are called per 1task and active Agents reach the 10 万 scale, daily transaction counts reach the 1000 万 scale — at this scale, infrastructure such as settlement · pricing · credit shifts from optional to mandatory.

Within 12-18 months, Skill billing is expected to evolve from individual cases into a platform standard feature.

Source note: public AI-agent commerce and payment-protocol disclosures; pricing conclusions remain framework-level synthesis.

Related

• Wiki Index
• Claude Code extension component architecture
• The current state of AI companies' payment methods