# BeauticsLab

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

BeauticsLab is a Korean AI‑driven beauty market intelligence platform that provides real‑time insights into skincare routines, product ingredients, and market trends. By aggregating data from thousands of products and user routines, it helps brands and consumers make data‑backed decisions, avoid ingredient conflicts, and discover market opportunities. The service includes AI‑powered analysis, personalized recommendations, and a community of users sharing their skincare experiences.

## Kin Score — 6.3 / 100 (minimal)

Scored 2026-11-06 under rubric 0.27.0.

| Facet | Score |
|---|---|
| Discoverability | 48.2 |
| Contract Quality | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 1.2 |
| Access Clarity | 10.5 |

Regulatory layer — **Horizontal (data, software, accessibility, platform)**: 9.1 (matched via fallback).

## Agent readiness — 3.1 (human-only)

| Dimension | Value |
|---|---|
| Spec Presence | no |
| Agentic Access | no |
| Reversibility Documented | no |
| MCP Server | documented |
| 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 |
| Delegated Identity | no |
| Protected Resource Metadata | no |
| Dynamic Client Registration | no |
| Agentic Commerce | no |
| Pagination Ratio | na |
| Operation Distinctiveness | na |
| MCP Tool Quality | na |

## Access

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

## Security (1)

- **Beauticslab Com Domain Security** — TLSv1.3 · HSTS · DMARC

## Tags

Beauty, Artificial Intelligence, Skincare, Market Intelligence, Korean

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