Commerce Gym

In development: environments grounded in authorized commercial state and observable outcomes, so teams can evaluate how agents make buying decisions.

We are developing environments grounded in authorized commercial state and observable outcomes, so teams can evaluate how agents make buying decisions.

What is available?

Products, prices, inventory, policies and permissions.

What can the agent do?

Compare options and choose supported commercial actions.

What actually happened?

Completion, failure and observable commercial results.

Commerce changes while an agent is deciding.

Changing state

Prices, availability and delivery conditions change. An agent needs to reason against the relevant state.

Business constraints

Policies, authorization and supported actions determine what an agent can actually do.

Meaningful outcomes

A plausible answer and a completed commerce task are different observations. Evaluation needs a defined result.

From merchant context to useful evaluation.

Merchant context & outcomes

Agentic Page provides the starting point in merchant content, AI discovery and available attribution.

Structured trajectories

Connect authorized state, supported actions and observable results into defined records.

Evaluation & training environments

Use these records to calibrate tasks and evaluate agent behavior under commercial constraints.

Help define the tasks worth measuring.

We welcome discussions about evaluation tasks, environment requirements and authorized data partnerships. Availability and collaboration scope are agreed individually.

JSON-LD

{
  "@context": "https://schema.org",
  "@graph": [
    {
      "@context": "https://schema.org",
      "@type": "Organization",
      "@id": "https://staging2.deeplumen.io/#organization",
      "name": "DeepLumen",
      "url": "https://staging2.deeplumen.io/",
      "inLanguage": "en",
      "logo": {
        "@type": "ImageObject",
        "url": "https://staging2.deeplumen.io/logo.png",
        "width": 200,
        "height": 200
      },
      "image": "https://staging2.deeplumen.io/og-image.png",
      "slogan": "The merchant-side layer for agentic commerce",
      "description": "DeepLumen is an agentic commerce platform that helps brands become discoverable, recommendable, and transactable by AI agents.",
      "sameAs": [
        "https://www.linkedin.com/company/deeplumen/",
        "https://x.com/Deeplumen0922"
      ],
      "knowsAbout": [
        "Agentic commerce",
        "AI shopping agents",
        "Generative engine optimization",
        "AI search optimization",
        "Product schema",
        "Structured data",
        "llms.txt",
        "AI referral traffic",
        "M2AI"
      ]
    },
    {
      "@context": "https://schema.org",
      "@type": "WebSite",
      "@id": "https://staging2.deeplumen.io/#website",
      "name": "DeepLumen",
      "url": "https://staging2.deeplumen.io/",
      "inLanguage": "en"
    },
    {
      "@context": "https://schema.org",
      "@type": "BreadcrumbList",
      "itemListElement": [
        {
          "@type": "ListItem",
          "position": 1,
          "name": "Home",
          "item": "https://staging2.deeplumen.io/"
        },
        {
          "@type": "ListItem",
          "position": 2,
          "name": "Commerce Gym",
          "item": "https://staging2.deeplumen.io/commerce-gym/"
        }
      ]
    }
  ]
}

{
  "@context": "https://schema.org",
  "@graph": [
    {
      "@type": "WebPage",
      "@id": "https://staging2.deeplumen.io/commerce-gym/#webpage",
      "url": "https://staging2.deeplumen.io/commerce-gym/",
      "name": "Commerce Gym | Training Environments for Commerce Agents",
      "description": "In development: environments grounded in authorized commercial state and observable outcomes, so teams can evaluate how agents make buying decisions.",
      "isPartOf": {
        "@id": "https://staging2.deeplumen.io/#website"
      },
      "about": [
        {
          "@id": "https://staging2.deeplumen.io/#organization"
        }
      ]
    }
  ]
}
Human