AI-Fitzpatrick-Skin-Type-Analysis
shallowcom.makeupar/beauty · Verify this server
**AI Fitzpatrick Skin Type Analysis** Integrate AI driven Fitzpatrick skin type detection into your applications to classify skin types accurately using camera input. This API enables developers to build personalized skincare, sunscreen, and product recommendation workflows for eCommerce and digital health platforms. **Skin Type Detection** The API uses computer vision and machine learning models to analyze skin characteristics and return a Fitzpatrick classification in a single request. It provides structured, objective data that can be directly consumed by frontend applications, recommendation engines, or clinical systems. The Fitzpatrick Scale, introduced by Dr. Thomas B. Fitzpatrick, defines six skin types based on melanin levels and response to UV exposure, allowing systems to predict tendencies to burn or tan. **Classification Output** The API returns one of six standardized skin types from Type I to Type VI based on UV response modeling. This output enables developers to deliver tailored product recommendations, automate skincare workflows, and enhance personalization logic across user experiences while maintaining consistency and scalability. | Fitzpatrick Scale | Skin Type | Skin Reaction to Sun | | - | - | - | | Type I | White | Almost always burns, never tans | | Type II | Beige | Usually burns, tans minimally | | Type III | Light Brown | Sometimes burns, gradually tans | | Type V | Medium Brown | Rarely burns, tans easily | | Type V | Dark Brown | Very rarely burns | | Type VI | Very Dark Brown | Almost never burns |
1 trials · measured 8 days ago
AI-Fitzpatrick-Skin-Type-Analysis scores 100.0/100 on Vouch's measured behaviour index, from 1 real invocation trials against com.makeupar/beauty, measured 25 Aug 2026 under methodology v0.2.0. Every measured component scored 100.
Component breakdown
| Component | Weight | Value |
|---|---|---|
| Reliability | 35% | not applicable |
| Schema integrity | 25% | 100.0 |
| Failure behaviour | 15% | not applicable |
| Latency | 15% | not applicable |
| Concurrency | 10% | not applicable |
Tool details
- Transport
- remote
- Credential class
- self-provisionable
- Category
- Travel & local
- Input schema
- not declared
- Output schema
- not declared
- Side-effect classification
- unclassified
Score history
| Day | Score | Tier | Methodology |
|---|---|---|---|
| 2026-08-25 | 100.0 | shallow | v0.2.0 |
Probe evidence
| Probe | Outcomes |
|---|---|
| schema_integrity | pass: 1 |
Raw request/response logs are not archived yet — the outcome counts above are drawn directly from every recorded trial.
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[](https://vouch.tools/tools/0b9eae6a-9386-48bd-ab8a-ee0bbfb87eec)