everlane

Everlane is a San Francisco-based direct-to-consumer apparel and footwear brand known for its "Radical Transparency" model — publishing factory sourcing, true costs, and markups on everyday wardrobe essentials. As an API Evangelist network entry, Everlane has no bespoke public developer program; its online store runs on Shopify and exposes an agent-facing commerce surface: a live Storefront MCP server at everlane.com/api/mcp (product search, cart, product details, and policy/FAQ lookup), a Universal Commerce Protocol (UCP) profile at /.well-known/ucp, a published /llms.txt of agent instructions, and Shopify Customer Account OIDC/OAuth2 authentication. Surfaced as a Slow Ventures portfolio company and enriched from its public agent, well-known, and authentication surfaces.

everlane is listed with 1 API on the APIs.io network. Tagged areas include Company, Retail, E-Commerce, Apparel, and Fashion.

everlane’s developer surface includes support, signup flow, authentication, and 10 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

19.5/100 emerging ▬ flat Agent 14/100 agent aware Front door AI 1/6 silent saas Full breakdown ↓
scored 2026-10-31 · rubric v0.25.0 · Show this score on your site →

AccessSelf serve

1 API 1 MCP Servers

Company Retail E-Commerce Apparel Fashion Direct to Consumer Shopify Agentic Commerce

Kin Score

Kin Score How this is scored →
scored 2026-10-31 · rubric v0.25.0

Composite quality — 19.5/100 · emerging

Contract Quality 0.0 / 21

Developer Ergonomics 2.8 / 17

Access Clarity 5.8 / 17

Operational Transparency 0.6 / 11

Contract Governance 0.0 / 10

Discoverability 5.5 / 9

Regulatory Posture 4.4 / 15

Agent readiness — 14/100 · agent aware

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 12 / 12

Machine-Readable Auth 10 / 10

Idempotency 0 / 9

Stable Error Semantics 0 / 8

Request/Response Examples 0 / 7

Rate-Limit Signaling 0 / 7

Typed Event Surface 0 / 6

Agent Skills 0 / 5

Well-Known Catalog 0 / 4

Consent & Bot Identity 0 / 3

A2A Agent Card 0 / 8

Dry-Run / Simulate Mode 0 / 4

Delegated User Identity 6 / 6

Protected Resource Metadata 0 / 5

Registration Without a Human 0 / 6

Agentic Commerce Well-Known Document 5 / 5

Pagination 5 / 5

Distinct Operations 3 / 3

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. If this regime is wrong for your business, say so on your provider repo — the 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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<a href="https://apis.io/providers/everlane/"><img src="https://apis.io/badge/everlane/card.svg" alt="everlane on APIs.io — Kin Score by API Evangelist"></a>

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Agent readiness — checks not met, largest first (exact, from this profile):

Machine-Readable Contract +18 pts — api_specs includes an OpenAPI document
Agentic Access Contract +10 pts — agentic_access artifact present (x-agentic-access), graded by author
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)
A2A Agent Card +8 pts — a2a/-a2a.yml manifest, graded on conformance.grade against A2A 1.0.0
Stable Error Semantics +8 pts — OpenAPI $refs a shared error schema across 4xx/5xx responses (verified), else common[].type includes ErrorCatalog / ErrorCodes / DeclineCodes
Rate-Limit Signaling +7 pts — OpenAPI responses document X-RateLimit-* / RateLimit headers (verified), else a rate_limits artifact or RateLimits link (documented)

9 more unmet checks in the Agent Readiness table above.

Kin Score — facets with the most composite points still available (weight × headroom):

Contract Quality scores 0.0 — up to +25.0 composite points
Developer Ergonomics scores 16.7 — up to +16.7 composite points
Access Clarity scores 34.2 — up to +13.2 composite points

Each check links to what satisfies it. Publish the artifact, or tell us where it already lives, and the score moves on the next scoring run.

Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. Every facet and dimension name above is a link: it opens that measurement's own page — what it means, the exact checks that feed it, how the whole catalog distributes on it, and the providers at the top of it. This rating is computed from the provider profile at artifacts.apis.io/everlane/apis.yml: open an issue on github.com/api-evangelist/everlane to ask a question or point us at an artifact you publish. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

Markets this provider is in provisional

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.

Market	Position	Depth	Registered MCP server	Declares compatibility
Fashion & Apparel (apparel, footwear, textiles)	standard	17.2 (thin)	-	-

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.

APIs 1

Individual APIs this provider publishes, each with its own machine-readable definition.

Everlane Storefront (Shopify MCP / UCP)

Agent-facing commerce surface for the Everlane storefront, hosted on Shopify: a Model Context Protocol (MCP) server for catalog search, cart, product details, and store-policy l...

MCP Servers 1

Model Context Protocol servers that expose these APIs to AI agents.

everlane MCP Server

Remote MCP server at everlane.com over HTTP; 5 tools listed.

MCP SERVER

Security Posture 2

Authentication, domain security, vulnerability disclosure, and trust-center signals.

Everlane Authentication

oauth2/openIdConnect · 1 scheme

SECURITY

Everlane Domain Security

TLSv1.3 · HSTS · DNSSEC · DMARC

SECURITY

Scopes 1

OAuth scopes governing access to this provider's APIs.

Everlane Scopes

4 scopes · authorizationCode

4 scopes

SCOPES

Resources

Get Started 1

Portal, sign-up, and the first successful call

SignUp

SignUp

Agent Surfaces 3

MCP servers, agent skills, and machine-readable catalogs

MCPServer

MCPServer

WellKnown

WellKnown

LLMsTxt

LLMsTxt

Design & Contract 1

Pagination, idempotency, versioning, errors, and events

Conventions

Conventions

Build 1

SDKs, sample code, and the tooling you integrate with

GitHubOrganization

GitHubOrganization

Access & Security 3

Authentication, authorization, and security posture

Authentication

Authentication

OAuthScopes

OAuthScopes

DomainSecurity

DomainSecurity

Operate 1

Status, limits, changes, and where to get help

Support

Support

Commercial 2

Pricing, plans, and the legal terms of use

PrivacyPolicy

PrivacyPolicy

TermsOfService

TermsOfService

Company 1

The organization behind the API

Website

Website

Source (apis.yml)

aid: everlane
name: everlane
description: 'Everlane is a San Francisco-based direct-to-consumer apparel and footwear brand known for its "Radical Transparency"
  model — publishing factory sourcing, true costs, and markups on everyday wardrobe essentials. As an API Evangelist network
  entry, Everlane has no bespoke public developer program; its online store runs on Shopify and exposes an agent-facing commerce
  surface: a live Storefront MCP server at everlane.com/api/mcp (product search, cart, product details, and policy/FAQ lookup),
  a Universal Commerce Protocol (UCP) profile at /.well-known/ucp, a published /llms.txt of agent instructions, and Shopify
  Customer Account OIDC/OAuth2 authentication. Surfaced as a Slow Ventures portfolio company and enriched from its public
  agent, well-known, and authentication surfaces.'
url: https://raw.githubusercontent.com/api-evangelist/everlane/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- slow-ventures
x-tier: stub
x-tier-reason: portfolio-lead
deliveryModel:
  model: saas
  open_source: false
  commercial: true
  callable_host: false
  label: Hosted service · you call their endpoint
  confidence: medium
  source:
  - pricing
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: unknown
  onboarding: self-serve
  trial: false
  try_now: false
  public: false
  label: Self-serve signup
  confidence: medium
  source:
  - authentication
  generated: '2026-07-22'
  method: derived
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-19'
image: https://www.everlane.com/favicon.ico
tags:
- Company
- Retail
- E-Commerce
- Apparel
- Fashion
- Direct to Consumer
- Shopify
- Agentic Commerce
tags_raw:
- Company
- Retail
- E-Commerce
- Apparel
- Fashion
- Direct-to-Consumer
- Shopify
- Agentic Commerce
apis:
- name: Everlane Storefront (Shopify MCP / UCP)
  description: 'Agent-facing commerce surface for the Everlane storefront, hosted on Shopify: a Model Context Protocol (MCP)
    server for catalog search, cart, product details, and store-policy lookup, plus a Universal Commerce Protocol (UCP) checkout
    flow.'
  humanURL: https://everlane.com
  baseURL: https://everlane.com/api/mcp
  tags:
  - MCP
  - Commerce
  - Shopify
  - AI Agents
  tags_raw:
  - MCP
  - Commerce
  - Shopify
  - Agentic
  properties:
  - type: MCPServer
    url: mcp/everlane-mcp.yml
  - type: WellKnown
    url: well-known/everlane-well-known.yml
  - type: Authentication
    url: authentication/everlane-authentication.yml
  - type: OAuthScopes
    url: scopes/everlane-scopes.yml
  - type: LLMsTxt
    url: llms/everlane-llms.txt
  - type: Conventions
    url: conventions/everlane-conventions.yml
  x-surface: platform-generated
  x-platform: shopify
  x-platform-surface: storefront-mcp
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Website
  url: https://everlane.com
- type: Support
  url: https://support.everlane.com/
- type: PrivacyPolicy
  url: https://www.everlane.com/policies/privacy-policy
- type: TermsOfService
  url: https://www.everlane.com/policies/terms-of-service
- type: SignUp
  url: https://account.everlane.com
- type: GitHubOrganization
  url: https://github.com/Everlane
- type: MCPServer
  url: mcp/everlane-mcp.yml
- type: WellKnown
  url: well-known/everlane-well-known.yml
- type: LLMsTxt
  url: llms/everlane-llms.txt
- type: Authentication
  url: authentication/everlane-authentication.yml
- type: OAuthScopes
  url: scopes/everlane-scopes.yml
- type: Conventions
  url: conventions/everlane-conventions.yml
- type: DomainSecurity
  url: security/everlane-domain-security.yml
x-enrichment:
  date: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence

everlane API — frequently asked questions

Does everlane have an API?

Yes. APIs.io lists 1 API from everlane, including Everlane Storefront (Shopify MCP / UCP).

How do I authenticate with the everlane API?

everlane documents its authentication (oauth2/openIdConnect · 1 scheme). The details are profiled on APIs.io as Everlane Authentication.

Does everlane have an MCP server?

Yes. APIs.io lists 1 MCP server for everlane: Remote MCP server at everlane.com over HTTP; 5 tools listed.

Is the everlane API ready for AI agents?

everlane has a Kin Score of 19.5 out of 100 (emerging) and an Agent Readiness score of 13.8 (agent-aware), scored by API Evangelist on 2026-10-31.

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