# Beautylish

**Canonical:** https://apis.io/providers/beautylish/  
**Website:** https://www.beautylish.com/  
**APIs profiled:** 0

Beautylish is a San Francisco based online beauty retailer and community, founded in 2010 by Nils Johnson, Vu Nguyen and Sameer Iyengar. It began as a community where beauty enthusiasts shared tutorials, reviews and product knowledge, and launched its own e-commerce storefront in 2012. Beautylish curates makeup, skincare, hair, fragrance, nails, bath and body, wellness and tool brands from around the world, pairs them with editorial content and makeup-artist guidance, and operates its own fulfillment, rewards (Beautylish Rewards), flexible payments and Zero Day Delivery programs. The company runs a first-party storefront rather than a developer platform: as of this profile it publishes no developer portal, no public API reference, no OpenAPI or other machine-readable contract, and no SDKs. Its public partner surface is a ShareASale/Awin affiliate program rather than an API.

## Kin Score — 14.2 / 100 (emerging)

Scored 2026-08-17 under rubric 0.11.0. Trend: flat (+0.0 from 14.2).

| Facet | Score |
|---|---|
| Discoverability | 53.7 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Operational Transparency | 5.3 |
| Developer Ergonomics | 6.5 |
| Commercial Clarity | 34.2 |

## Agent readiness — 0.0 (human-only)

| Dimension | Value |
|---|---|
| Spec Presence | no |
| Agentic Access | no |
| MCP Server | no |
| Auth Clarity | no |
| Idempotency | no |
| Error Semantics | no |
| OpenAPI Examples | no |
| Rate Limit Signal | no |
| Event Surface Described | no |
| Agent Skills | no |
| Well Known Catalog | no |
| Consent Identity | no |
| Agent Card | no |
| Dry Run Mode | no |

## Security (1)

- **Beautylish Domain Security** — TLSv1.3 · HSTS · DMARC

## Tags

Company, E-Commerce, Retail, Beauty, Cosmetics, Consumer, Marketplace, Direct to Consumer

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Profiled by [API Evangelist](https://apievangelist.com) and published on [APIs.io](https://apis.io/providers/beautylish/). Scores are computed from the provider's own public artifacts under a published rubric.