Klarna launches open standard to help AI agents discover and compare 100 million products

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Klarna unveiled its Agentic Product Protocol, giving AI agents access to a live feed of over 100 million products and 400 million prices across 12 markets. The open standard allows merchants to make their inventory discoverable to any AI platform without ads or intermediaries, establishing a foundation for the next generation of agentic commerce.

Klarna Introduces Tools for Discovery by AI Agents

Klarna has launched the Agentic Product Protocol, an open standard designed to bridge the gap between merchants and AI agents in what the company calls the next evolution of shopping. Released to developers, AI platforms, and merchants on Monday, December 15, the protocol provides AI agents with structured access to products and pricing data on an unprecedented scale

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. The live feed encompasses more than 100 million products and 400 million prices standardized across 12 markets, creating a foundational layer that enables AI systems to discover, compare, and recommend products across different merchants, markets, and platforms

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Source: PYMNTS

Source: PYMNTS

Open Standard for Making Products Discoverable

The protocol addresses a critical challenge in AI agent-led commerce: product visibility. Merchants hosting the open standard can make their inventory discoverable to any AI agent or platform that supports the protocol, eliminating the need for ads, paywalls, or intermediaries. The API supports existing feed formats including Google Merchant, Shopify, Facebook Catalog, and CSV/JSON, allowing merchants to integrate their product catalogs seamlessly. This compatibility means businesses can make their products instantly discoverable and comparable in agent-driven conversations without overhauling their existing infrastructure.

Building Blocks for Agentic Commerce

"Before agents can buy, they need to know what exists," says David Sykes, chief commercial officer at Klarna. "Klarna's Agentic Product Protocol defines a common language for how AI systems, merchants, and platforms exchange product data - a foundational layer for the next generation of agentic commerce". The protocol establishes standardized communication between AI agents and merchants, enabling real-time pricing and availability information to flow seamlessly. For merchants, this shift matters because AI agents are becoming the new gatekeepers of commerce, and incomplete product data or poor attributes could mean exclusion from agent responses entirely

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Expanding the Vision for Open and Responsible Payments Architecture

This launch builds on Klarna's broader strategy to shape the infrastructure of AI-driven shopping. In October, Klarna expanded its partnership with Google to support the Agent Payments Protocol (AP2), an open standard designed to enable secure, AI-driven payments

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. "Agent-led commerce represents an exciting new frontier, one that demands transparency, trust and smarter payment experiences," Sykes said at the time. "We're doubling down on our long-standing relationship with Google to support their work with AP2 and help define an open, responsible payments architecture for the future of shopping"

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. Together, these protocols position Klarna at the center of agentic commerce infrastructure, addressing both product discovery and payment execution.

What This Means for the Future of Shopping

The shift toward AI agents represents a fundamental change in how consumers find and purchase products. Discovery is no longer about keywords and endless scrolling but contextual, conversational queries where agents act as intermediaries between shoppers and merchants

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. For businesses, adopting the Agentic Product Protocol could determine whether their products appear in agent recommendations or remain invisible. The protocol's emphasis on live feed data ensures that AI agents work with current inventory and pricing, reducing the friction that has historically plagued automated shopping experiences. As AI platforms increasingly integrate these standards, merchants who provide structured, high-quality product data will likely gain a competitive advantage in agent-driven markets.

Source: Finextra Research

Source: Finextra Research

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