Johnnie-O is a Los Angeles based men's, women's and boys' apparel brand founded in 2005 by John O'Donnell, blending East Coast prep with West Coast casual across polos, performance golf shirts, outerwear, shorts and collegiate Game Day licensed product, sold direct through johnnie-o.com, its own retail stores, wholesale and green-grass golf accounts. It is an apparel company, not a software vendor, and it operates no developer program, publishes no API documentation, ships no SDK and has no GitHub organization. It does, however, expose two real anonymous machine-readable surfaces through the Shopify Hydrogen storefront it runs: an introspectable Storefront GraphQL endpoint on its own domain, and a live Universal Commerce Protocol (UCP) MCP endpoint on its Shopify-served primary domain that publishes thirteen agent tools for catalog search, cart, checkout and order lookup. The store also serves its own llms.txt and agents.md agent instructions. Those surfaces are Shopify platform infrastructure running under Johnnie-O's tenant and on hosts Johnnie-O controls; they are profiled here as Johnnie-O's agent surface, not as Johnnie-O-authored API design.
Johnnie-O is listed with 2 APIs on the APIs.io network. Tagged areas include Company, Apparel, Retail, E-Commerce, and Direct to Consumer.
Johnnie-O’s developer surface includes authentication, documentation, support, signup flow, and 25 more developer resources.
Regulatory Posture applies to this provider. Its tags matched the
Horizontal (data, software, accessibility, platform) regime, so
Regulatory Posture carries 15 points of the composite.
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applicability map is public and we will correct it.
Create-or-Update Ergonomics could not be measured. We hold no machine-readable contract for
this provider to read, so there is nothing to measure a write surface against. Excluded rather than scored zero:
never-measured and measured-empty are different facts. Publishing an OpenAPI is what makes this facet — and
several others — scorable at all.
The six quality facets above are damped to 85 points between them,
because the conditional facet above carries the other
15. That is why each facet's contribution is shown against a damped
maximum: raising a quality facet moves the composite by 85% of its nominal
weight, not 100%. The full arithmetic is at apis.io/rating/.
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Agent readiness — checks not met, largest first (exact, from this profile):
Idempotency+9 pts — OpenAPI mutating operations declare an idempotency key — a header, a request-body property, or a named de-duplication token whose own description says so (verified); else common[].type matches /idempoten/i (documented) Ask about this →
Typed Event Surface+6 pts — AsyncAPI document, OR webhooks/callbacks objects in the as-published OpenAPI, OR common[].type includes Webhooks Ask about this →
4 more unmet checks in the Agent Readiness table above.
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The Kin Score Market layer reads a provider inside its market:
its position, and how deep its integrations go. Depth is only comparable within a position. Provisional and unweighted:
not part of the Kin Score or agent readiness.
Registered MCP server and declares compatibility are report only — not weighted.
Undeclared means we found nothing we can read, so there is no number: we never infer integrations.
Standards this provider implements or carries. De facto ones are profiled and measured by the API Commons; formal ones come from the standards directory and are linked by the provider's own tags. The evidence column says how each claim was established — not that it was made.
Anonymous, fully introspectable GraphQL endpoint served from Johnnie-O's own Hydrogen storefront host. This is the Shopify Storefront API for merchant tenant 22750137; the Hydro...
Live remote MCP server implementing the Universal Commerce Protocol shopping service (version 2026-04-08) on Johnnie-O's Shopify-served primary domain. An anonymous JSON-RPC too...
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