E-com Directors
Who need to add the "AI Agent" channel across multiple agent platforms without disrupting existing storefront operations.
AI agents need protocols to interact with your store. We implement UCP for Google AI Mode, MCP for tool-using agents like Claude and ChatGPT, and A2A for agent-to-agent commerce — so your products are transactable everywhere agents shop.
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Different agents use different protocols. A complete agent commerce strategy requires implementing all of them — and we handle the entire stack.
Universal Commerce Protocol
by Google
The protocol powering Google AI Mode checkout. Exposes discovery manifests, checkout sessions, payment handling, and order management to Google's agent ecosystem.
Model Context Protocol
by Anthropic
The protocol for exposing your commerce capabilities as tools that AI agents can invoke. Product search, inventory checks, cart operations, and checkout — all as callable functions.
Agent-to-Agent Protocol
by Google
The agent-to-agent communication protocol. Your commerce agent publishes an Agent Card declaring its capabilities, then negotiates with buyer agents to complete transactions.
Agents can't buy from you without protocols in place.
Who need to add the "AI Agent" channel across multiple agent platforms without disrupting existing storefront operations.
Who want clean, standards-based protocol integrations (UCP, MCP, A2A) rather than fragile custom API hacks for each agent.
Who are tasked with "solving AI commerce" and need a multi-protocol, production-ready solution, not a proof of concept.
You don't need to rebuild your backend. UCP works as a lightweight layer on top of your existing infrastructure. Simply add structured metadata to your product pages or expose a standard API endpoint.
Agents automatically scrape and index UCP-enhanced JSON-LD tags from your existing product pages.
Decouple your inventory from your frontend. Let Gemini or ChatGPT become your new storefront.
{
"@context": "https://schema.org/",
"@type": "Product",
"name": "Sony Alpha a7 IV",
/* UCP EXTENSION: Enables Agent Discovery */
"ucp:commerce": {
"inventory": {
"type": "RealTime",
"endpoint": "https://api.store.com/stock"
},
"checkout": {
"supported_protocols": ["AP2"]
}
}
}# Initiate an Agent Session
curl -X POST https://api.ucp.network/v1/sessions \
-H "Authorization: Bearer sk_test_..." \
-H "Content-Type: application/json" \
-d '{'
"agent_id": "gemini-pro-shopping",
"intent": {
"sku": "a7iv",
"action": "hold_inventory"
}
}'See the data packets fly between User, Agent, and Merchant.
Visualize the data path of an agentic purchase
User Intent
User asks: "Buy red running shoes, size 10."
AI Agent
Agent parses intent and queries UCP network.
UCP Layer
Protocol standardizes request & identity.
Merchant
Merchant API returns structured inventory.
Payment
Tokenized payment exchange via UCP.
Complete
Order confirmed & receipt generated.
User asks: "Buy red running shoes, size 10."
UCP replaces shared secrets (like passwords) with asymmetric cryptography. Explore the four defense layers below.
Device-Level Auth
Cryptographic Binding
Data Anonymization
Anti-Phishing
Security Layer 1 of 4
Private keys never leave the user's device. Transaction signatures are generated inside the hardware Secure Enclave (e.g., Apple Secure Enclave, Android Titan M) only after a successful biometric challenge.
See how UCP's full-stack approach compares to the agent-only interaction layer.
| Feature | UCP (Universal) | ACP (Agentic) |
|---|---|---|
| Scope | Full merchant-side commerce stack | Agent interaction layer |
| Product Discovery | /.well-known/ucp manifest + catalog sync | Relies on external search APIs |
| Cart & Checkout | Native session management & AP2 payment | Delegates to merchant checkout |
| Payment Security | Tokenization, Secure Enclave, PCI-DSS L1 | Passes through to PSP |
| Order Management | Full lifecycle tracking & webhooks | Limited post-purchase support |
| Identity Linking | OAuth 2.0 customer account mapping | Agent-level auth only |
| Transport Options | REST, MCP, A2A | Primarily REST / HTTP |
| Merchant Registry | Decentralized identity verification | No built-in registry |
Click any node to explore how the protocol layers connect. Each component plays a critical role in enabling AI-powered commerce.
Protocol Core
Market Impact
Merchants & Platforms
AI Agents
Payment Providers
Governance & Security
Transport Layer
The protocol stack (UCP, MCP, A2A) is the central orchestration layer that standardizes how AI agents discover products, negotiate terms, and complete purchases across any merchant platform.
"UCP acts as the universal translator, ensuring that any AI agent can discover, configure, and purchase products from any merchant."
Technically, yes — the spec is public. In practice, enterprise implementations require handling edge cases the spec doesn't cover: payment handler integration, inventory sync timing, error states, and multi-tenant checkout flows. Our team has shipped this across SFCC, Shopify Plus, and headless stacks. Your devs stay focused on your core product.
They will — UCP, MCP, and A2A are all evolving. That's exactly why we offer managed services post-implementation. We track protocol changes across all three specs and apply updates proactively. Your implementation stays current without your team needing to monitor three separate protocol repos.
Most implementation work is done by our team. We need API access, a staging environment, and a technical point of contact for review and sign-off. Your developers are involved mainly at integration checkpoints — not carrying the implementation workload.
Different agents use different protocols. UCP powers Google AI Mode checkout. MCP powers tool-using agents like Claude and ChatGPT. A2A enables agent-to-agent negotiation. Most clients implement UCP + MCP as a baseline, then add A2A for B2B use cases. We scope based on your audience and channels.
Scoped to your platform. Includes UCP implementation with MCP and A2A add-on options.
Native acceleration + multi-protocol optimization
Plugin + full protocol integration
Custom SDK + multi-protocol agent layer
Not sure which package fits your stack? Start with the readiness assessment →
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