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Commerce infrastructure for the agent economy.

AI agents already research, compare and buy on behalf of people and companies. Interpria is the layer that makes your catalog readable, optimized and sellable to them, on any protocol.

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Trade Graph

Agent-to-agent interactions

Graph-based recommendations +11% conversion

Supported protocols
  • ACPAgentic Commerce Protocol
  • UCPUniversal Commerce Protocol
  • AP2Agent Payments Protocol
  • MCPModel Context Protocol
  • A2AAgent2Agent

When the buyer is an agent,
commerce needs a new layer.

Merchants and brands

  • Catalogs written for people
  • Price, stock and rules spread across systems
  • Checkout designed for clicks
  • No visibility into who is buying

Interpria

agentic
commerce layer

Shopping agents

  • Read structured data, not pages
  • Speak one protocol per ecosystem
  • Pay with delegated mandates
  • Decide in milliseconds

Interpria translates each side for the other and learns from every transaction. Three products, one source of truth.

Platform

Three products. One commerce layer for agents.

Each product solves one part of the problem. They all share the same canonical model, so what one learns, the others use.

01Agent e-Commerce Bridge

List once. Sell on every protocol.

A canonical commerce model for multiple protocols. Every product or service you list gets its own representation, with price, variants, stock, policies and business rules, independent of any protocol.

The Bridge translates that representation in real time into every standard agents speak. When a protocol changes, or a new one appears, your catalog stays exactly the same.

  1. 01Connecte-commerce platform, ERP or product feed
  2. 02Normalizeeverything becomes one versioned canonical model
  3. 03Publishadapters for ACP, UCP, AP2, MCP and A2A
  4. 04Receiveorders from any protocol in a single format
02Agent Trade GraphKnow Your Agent

Every interaction between agents becomes market intelligence.

The active graph that turns every interaction between agents into transactions and autonomous market recommendations.

Searches, comparisons, negotiations, carts and payments become edges in a temporal graph. It learns who buys what, from whom and why, and recommends pricing, assortment and partners as the market unfolds.

Know Your Agent

Every agent gets a verifiable identity, mandate and reputation. Before you accept an order, you know who is on the other side and on whose behalf it acts.

  1. 01Observeevery interaction becomes an event in the graph
  2. 02Verifythe agent’s identity, mandate and reputation
  3. 03Recommendpricing, assortment and partners in real time
  4. 04Executeautonomous transactions within your rules
03Agent Eval Studio

Test conversion before you go live.

The complete environment to simulate, test and optimize agent conversion before going to production.

Run thousands of synthetic shopping agents, with different profiles, budgets and intents, against your catalog and your checkout. See where they drop off, what they don’t understand and what makes them buy.

  1. 01Simulateagent populations with real buying profiles
  2. 02Testend-to-end journeys across every protocol
  3. 03Comparecatalog, pricing and policy versions side by side
  4. 04Promoteonly what is proven to convert better

Bridge

Agent e-Commerce Bridge

One canonical model
Every protocol

Your operation stays where it is. The Bridge reads, normalizes and publishes, and every agent gets your catalog in the language it understands.

  • ASingle APICreate and update products, offers and policies in one place, with versioning and an audit trail.
  • WWebhooksOrders, mandates and payment events from any protocol arrive in a single format.
  • VVersioningProtocol changes are absorbed by the Bridge. Your model, and your integration, stay the same.
Multi-protocolReal timeVersionedNo lock-in
TOPOLOGYCANONICAL
YOUR OPERATIONERPE-COMMERCECMSINTERPRIA BRIDGECANONICAL MODELAero 2 running shoetypephysical productprice$151.00stock128 units · 3 colorspolicy30-day returnsdelivery2 business daysACPAgentic Commerce ProtocolUCPUniversal Commerce ProtocolAP2Agent Payments ProtocolMCPModel Context ProtocolA2AAgent2AgentAGENTS
CANONICAL DATA PROTOCOL TRANSLATION

Variants, stock and return rules travel together to every protocol.

Graph

Agent Trade Graph

The market between agents, modeled as a living graph.

Every signal from every agent flows into the same temporal graph. It learns from what has already happened and uses that to verify agents it has never seen. It is not just a data log. It is the structure beneath every decision.

SEARCHESCOMPARISONSNEGOTIATIONSCARTSPAYMENTSRETURNSREVIEWSVERIFIED BYASSOCIATIONT-90DT-30DNOW

Drag to see the full graph

01

Verifiable identity

Every agent carries an identity tied to whoever it represents: a person, a company or another agent.

02

Explicit mandates

Spending limits, categories and expiry dates are on record. Every order is checked against the mandate before it goes through.

03

Reputation by association

An agent you have never seen is assessed through the connections already in the graph: who it traded with, how it paid, what it returned.

04

Autonomous recommendations

The graph suggests pricing, assortment and partners based on how agents actually behave, and can act on them within your rules.

05

Auditable trail

Every interaction becomes an immutable, queryable event. Disputes, chargebacks and compliance stop being a black box.

Use what you already know to assess who you don’t know yet

Our thesis

Your next customerwon’t open your websiteThey’ll arrive through an agent

For three decades, digital commerce was designed for human eyes. The next one will be designed for agents too. We are building the infrastructure that connects both sides.

Agent Eval Studio

Simulate, test and optimize before your first real buyer

BARGAIN AGENT×1,250
Step 1

Simulate

Generate populations of shopping agents with different profiles, budgets, constraints and negotiation styles, modeled on the agents already active in the market.

Step 2

Test

Run complete journeys, from discovery to post-sale, across every protocol. Every drop-off comes with the reason and the catalog field responsible.

Step 3

Optimize

Compare catalog, pricing and policy versions side by side. Promote to production only what is proven to convert better, and keep the rest as regression tests.

FAQ

What you need to know.

What is agentic commerce?

It is when AI agents research, compare, negotiate and buy on behalf of people and companies. Instead of browsing pages, they consume structured data and use their own protocols to discover products and complete payments.

Do I need to switch my e-commerce platform?

No. Interpria connects to your current operation, whether that is a platform, an ERP or a product feed, and works as a layer on top of it. Checkout for people stays exactly as it is.

Which protocols does the Bridge cover?

The Bridge was designed for the open standards of agentic commerce, such as ACP, UCP, AP2, MCP and A2A. Because your catalog lives in a canonical model, a new protocol becomes a new adapter, with no rework on your side.

How does Know Your Agent work?

Every agent that interacts with you gets an identity, a mandate (how much it can spend, on what and until when) and a reputation. When an agent is new, the Trade Graph assesses it through the connections it already has in the graph, the same way a good salesperson trusts a referral.

Does Eval Studio use my customers’ data?

It doesn’t need to. Simulations run on synthetic agents. If you like, you can calibrate the profiles with aggregated, anonymized data from your operation to bring the tests even closer to reality.

When can I start?

We are opening access gradually, starting with a group of design partners. Join the waitlist and we’ll talk about your use case.

Agents don’t browse
They negotiate

We are opening access gradually to a group of design partners. Leave your email and we’ll talk about your operation.