# GlamSt

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

GlamSt (GlamST LLC) builds customized virtual makeover and try-on solutions for beauty brands and retailers, combining augmented reality (AR), artificial intelligence, and machine learning to power virtual makeup and cosmetics try-on across mobile, web, and in-store experiences. Founded with offices in San Francisco, Montevideo (Uruguay), and Wilmington (Delaware), the company was surfaced as a portfolio company of 500 Global and added to the API Evangelist network. GlamSt was acquired by Ulta Beauty in 2018 and integrated into Ulta's digital innovation team; it exposes no public developer portal, API, SDK, or documentation surface, so this profile is identity-only.

## Kin Score — 7.1 / 100 (minimal)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 7.1).

| Facet | Score |
|---|---|
| Discoverability | 50.0 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 0.0 |
| Commercial Clarity | 10.5 |
| Access Clarity | 10.5 |

## Agent readiness — 0.0 (human-only)

| Dimension | Value |
|---|---|
| Spec Presence | no |
| Agentic Access | no |
| Reversibility Documented | 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 |

## Access

Unknown — onboarding: unknown, pricing: unknown, trial: no (confidence: low).

## Security (1)

- **Glamst Domain Security** — TLSv1.3 · DMARC

## Tags

Company, Beauty, Augmented Reality, Artificial Intelligence, Machine-Learning, Virtual Try-On, Cosmetics, Retail

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