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Crystallize

Headless commerce platform combining PIM, CMS and subscription commerce behind a GraphQL API, with MCP access so AI agents can query product catalogues.

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ecommerceguide summary

Crystallize is a headless commerce platform from Crystallize AS that holds products, content, media and taxonomy in one model behind a GraphQL API. It covers PIM, CMS, subscription commerce with contracts, metering, tiers and pause or resume, multi-market pricing and currencies, and checkout funnel insights for active carts and abandoned checkouts. A Crystallize MCP server lets AI clients query the catalogue. Plans run Particle (free plus metering), Atom ($949 plus metering per month) and tailored Crystal.

Why it stands out

Crystallize publishes its own MCP server so AI clients can query the catalogue alongside the GraphQL API.

What Crystallize does

ecommerceguide editorial
  • PIM, CMS, commerce and subscriptions in one data model
  • GraphQL API served from a global CDN, plus webhooks and CLI
  • MCP server lets ChatGPT, Claude, Gemini and Perplexity read the catalogue
  • Flare AI handles translation, content generation and attribute enrichment, metered by tokens
  • Checkout funnel insights track active carts, abandoned checkouts and purchases
  • Metered usage on orders, items, bandwidth, API calls and AI tokens
  • Crystal plan adds SAML/SSO, three tenants and invoice billing

How ecommerce teams could use it

ecommerceguide editorial

Illustrative scenarios written by ecommerceguide from the product's documented capabilities. They are not customer case studies.

  1. A brand adding recurring orders to an existing product range

    Setting up subscription plans with contracts, tiers and pause or resume alongside one-off products

    Intended outcomeCrystallize holds both product types in the same model and serves them through one GraphQL API.

  2. A B2B seller opening additional countries

    Adding currencies, tax rules, pricing and languages without a second platform

    Intended outcomeMulti-market pricing and unlimited languages are handled in the same tenant, with hierarchies and approvals kept for B2B buyers.

  3. A team preparing its catalogue for AI assistants

    Making product data readable by ChatGPT, Claude, Gemini and Perplexity without scraping HTML

    Intended outcomeThe Crystallize MCP server and GraphQL API expose structured product data for agents to query directly.

Who it suits

ecommerceguide editorial

Best for

You want PIM, CMS, commerce and subscriptions in one GraphQL backend with an MCP server for AI clients, and can start on the free metered tier or $949 per month Atom plan.

Probably not for

You need prebuilt integrations with Shopify, BigCommerce or Magento, since Crystallize documents comparisons rather than connections and expects you to build the frontend yourself.

Business size
Any stageCrystallize markets Particle for hobbyists and testing, Atom for DIY startups and small teams, and Crystal for enterprises and growth companies.
Verticals
B2B commerce, Digital products and memberships

Often used alongside

ecommerceguide editorial

Categories and use cases

Alternatives to Crystallize

Listings that share this one's category, platforms or use cases. Ordered by how many relationships they share, not by quality or payment.

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Sources

ecommerceguide profiles are built from public product information and written for ecommerce teams. We do not test products, and paying never changes where a listing ranks.

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