Autoderm – AI Dermatology API

Autoderm is a white-label REST API for AI-assisted analysis of dermatological images, operated as a regulated medical device. A client POSTs a single skin photograph as multipart/form-data and receives the top five most probable conditions, each with a confidence score between 0 and 1, an ICD-10 code and an English name; a companion static catalog maps every ICD-10 code to localized and layman's names plus read-more links in seven languages. Alongside disease detection the API exposes Fitzpatrick skin-type classification, a blur/image-quality screen, a genitalia content-safety classifier, an age estimator, and — unusually — the regulatory device label itself as a live anonymous endpoint. Autoderm is CE-marked under EU MDD 93/42/EEC as a legacy Class I device, is transitioning to MDR Class IIa under EU MDR 2017/745, and holds FDA Breakthrough Device Designation. It is sold into telemedicine, pharmacy, and digital health platforms as a decision-support and triage tool, and is explicitly not intended as a means of diagnosis.

Autoderm – AI Dermatology API publishes 4 API contracts indexed on the APIs.io network, including Device API, Inference API, System API, and 1 more. Tagged areas include dermatology-api, ai-dermatology, Medical Imaging, Telehealth, and skin-analysis.

The Autoderm – AI Dermatology API catalog on APIs.io includes 1 Spectral governance ruleset.

Autoderm – AI Dermatology API’s developer surface includes documentation, API reference, getting-started guide, support, engineering blog, pricing, signup flow, and 29 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

65.1/100 strong ▬ flat Agent 27/100 agent aware Front door AI 5/6 prominent Heartbeat 50/100 alive saas Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

AccessPaid

1 published contract 3 Agent Skills

dermatology-apiai-dermatologyMedical Imaging Telehealthskin-analysisREST API OpenAPI Llms.txtce-markedWhite Label Healthcare Medical AI Computer Vision Medical Devices ICD-10image-classificationClinical Decision Support triage

What this lets a business do 1

Business capabilities this provider's published APIs can perform, derived from its own contracts. Browse all capabilities →

AI Model Services

AE-110

Inference

POST /v1/infer-diseases/v1

Kin Score

Kin Score How this is scored →
scored 2026-11-06 · rubric v0.27.0

Composite quality — 65.1/100 · strong

Contract Quality 10.5 / 19

Developer Ergonomics 9.9 / 15

Access Clarity 13.8 / 15

Operational Transparency 5.6 / 10

Contract Governance 2.9 / 9

Discoverability 5.5 / 8

Regulatory Posture 3.3 / 15

Create-or-Update Ergonomics 0.0 / 10

Agent readiness — 27/100 · agent aware

Machine-Readable Contract 18 / 18

Agentic Access Contract 10 / 10

Documented Reversibility 0 / 6

MCP Server 0 / 12

Machine-Readable Auth 10 / 10

Idempotency 0 / 9

Stable Error Semantics 8 / 8

Request/Response Examples 7 / 7

Rate-Limit Signaling 7 / 7

Typed Event Surface 0 / 6

Agent Skills 5 / 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 0 / 6

Protected Resource Metadata 0 / 5

Registration Without a Human 0 / 6

Agentic Commerce Well-Known Document 0 / 5

Pagination 5 / 5

Distinct Operations 0 / 3

MCP Tool Quality 6 / 6

Regulatory Posture applies to this provider. Its tags matched the Health 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 applies to this provider. This API accepts writes, so it carries 10 points of the composite. It is scored from the published contracts themselves: whether a caller can create-or-update in one call, whether the write accepts a key the caller already holds, and whether the response says which branch ran. Without that, every write needs a search-and-branch in front of it, and the first time that check is skipped a duplicate record is created. Scored against the observed mean rather than raw — a provider at the catalog average is unchanged by this facet, not penalised by it.

The six quality facets above are damped to 75 points between them, because the conditional facet above carries the other 25. That is why each facet's contribution is shown against a damped maximum: raising a quality facet moves the composite by 75% of its nominal weight, not 100%. The full arithmetic is at apis.io/rating/.

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<a href="https://apis.io/providers/autoderm-ai-dermatology-api/"><img src="https://apis.io/badge/autoderm-ai-dermatology-api/card.svg" alt="Autoderm – AI Dermatology API on APIs.io — Kin Score by API Evangelist"></a>

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

MCP Server +12 pts — deployment.mode + probe verdict on the mcp/ manifest, not the pointer; an unprobed slug falls back to authorship
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
Registration Without a Human +6 pts — a `registration_endpoint` in the served RFC 8414 / OIDC discovery document
Delegated User Identity +6 pts — a served discovery document listing authorization_code in grant_types_supported (served), else an oauth2 authorizationCode flow or openIdConnect declared in an OpenAPI (documented)
Typed Event Surface +6 pts — AsyncAPI document, OR webhooks/callbacks objects in the as-published OpenAPI, OR common[].type includes Webhooks

7 more unmet checks in the Agent Readiness table above.

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

Contract Quality scores 56.0 — up to +11.0 composite points
Contract Governance scores 31.8 — up to +8.2 composite points
Developer Ergonomics scores 66.1 — up to +6.8 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/autoderm-ai-dermatology-api/apis.yml: open an issue on github.com/api-evangelist/autoderm-ai-dermatology-api 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
Medical Technology (certified health IT, FDA-authorized AI devices)	undeclared	-	-	-
Medical Imaging & IHE Interoperability Profiles	undeclared	-	-	-
ONVIF Video Analytics (video surveillance, edge cameras, computer vision)	undeclared	-	-	-
US NPI Health Provider Registry (CMS NPPES)	undeclared	-	-	-

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.

Standards implemented 2

Standards this provider implements or carries. De facto ones are profiled and measured by the API Commons; formal ones come from the standards directory and are linked by the provider's own tags. The evidence column says how each claim was established — not that it was made.

llms.txt

Prices published by Autoderm – AI Dermatology API, read 2026-10-28 from autoderm.ai/pricing/. A free plan or tier is listed.

Plan	Price
TRIAL	Free Includes: 5 one-time detections
BASIC	$100 per month · 100 detections Includes: 100 detections
ENTERPRISE	Custom unlimited · custom pricing Includes: Unlimited API volume & custom pricing

Plan details, limits and sources →

Rate limits

Trial plan detections: 5 detections
Basic plan included detections: 100 detections
Enterprise plan volume: unlimited detections

Rate-limit details →

Billed by: detections · FinOps profile →

Pricing Plans 2

Published pricing tiers and plan structures.

Autoderm Ai Dermatology Api Plans

3 plans

PLANS

Autoderm Ai Dermatology Api Price Estimates

0 plans

PLANS

Rate Limits 1

Documented rate limits and quota policies.

Autoderm Ai Dermatology Api Rate Limits

3 limits

RATE LIMITS

Service Levels 1

Uptime the provider promises or reports, as SLA4OAI. Read from its own pages; APIs.io runs no monitors.

Autoderm – AI Dermatology API

SLA

FinOps 1

Cost, billing, and metering signals for API financial operations.

Autoderm Ai Dermatology Api Finops

FINOPS

Spectral Rules 1

Spectral governance rulesets for linting and validating these APIs.

Autoderm – AI Dermatology API API Rules

53 rules · 51 errors 1 warnings 1 info

SPECTRAL

OpenAPI Overlays 1

Overlays applied on top of this provider's contracts. Each card says who wrote it: a document the provider publishes, or one API Evangelist derived or generated.

Autoderm Ai Dermatology Api Openapi Overlay

10 actions · documentation · autoderm-ai-dermatology-api-openapi.yml

DERIVED

2 fields

EXAMPLE

Security Posture 2

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

Autoderm Ai Dermatology Api Authentication

http · 1 scheme

SECURITY

Autoderm Ai Dermatology Api Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Agentic Access 1

Recommended x-agentic-access execution contracts for AI agents.

Autoderm Ai Dermatology Api Agentic Access

17 operations · 5 acting

AGENTIC

Resources

Get Started 4

Portal, sign-up, and the first successful call

DeveloperPortal

DeveloperPortal

GettingStarted

GettingStarted

SignUp

SignUp

Login

Documentation 3

Reference material describing how the API behaves

Documentation

Documentation

APIReference

APIReference

JSONSchema

JSONSchema

Agent Surfaces 4

MCP servers, agent skills, and machine-readable catalogs

X-MCPServerCandidate

LLMsTxt

AgentSkill

AgenticAccess

Design & Contract 6

Pagination, idempotency, versioning, errors, and events

Versioning

Conventions

ErrorCatalog

Lifecycle

Conformance

DataModel

Build 4

SDKs, sample code, and the tooling you integrate with

GitHubOrganization

Packages

SDKs

Examples

Access & Security 3

Authentication, authorization, and security posture

Compliance

Compliance

Authentication

Authentication

DomainSecurity

DomainSecurity

Operate 3

Status, limits, changes, and where to get help

Support

Support

Deprecation

Deprecation

RateLimits

RateLimits

Commercial 4

Pricing, plans, and the legal terms of use

Pricing

TermsOfService

PrivacyPolicy

Plans

Company 3

The organization behind the API

BlogRSS

BlogRSS

Website

Website

Blog

Blog

Other 2

Properties that don't map to a standard resource type

CapabilityMap

CapabilityMap

Overlay

Overlay

Source (apis.yml)

name: Autoderm – AI Dermatology API
description: Autoderm is a white-label REST API for AI-assisted analysis of dermatological images, operated as a regulated
  medical device. A client POSTs a single skin photograph as multipart/form-data and receives the top five most probable conditions,
  each with a confidence score between 0 and 1, an ICD-10 code and an English name; a companion static catalog maps every
  ICD-10 code to localized and layman's names plus read-more links in seven languages. Alongside disease detection the API
  exposes Fitzpatrick skin-type classification, a blur/image-quality screen, a genitalia content-safety classifier, an age
  estimator, and — unusually — the regulatory device label itself as a live anonymous endpoint. Autoderm is CE-marked under
  EU MDD 93/42/EEC as a legacy Class I device, is transitioning to MDR Class IIa under EU MDR 2017/745, and holds FDA Breakthrough
  Device Designation. It is sold into telemedicine, pharmacy, and digital health platforms as a decision-support and triage
  tool, and is explicitly not intended as a means of diagnosis.
url: https://raw.githubusercontent.com/api-evangelist/autoderm-ai-dermatology-api/refs/heads/main/apis.yml
deliveryModel:
  model: saas
  open_source: false
  commercial: true
  callable_host: true
  label: Hosted service · you call their endpoint
  confidence: high
  source:
  - openapi
  - pricing
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: paid
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Paid
  confidence: high
  source:
  - plans
  - authentication
  - rate-limits
  - security
  generated: '2026-11-06'
  method: derived
image: https://autoderm.ai/wp-content/uploads/2026/05/autoderm-logo.svg
created: '2026-08-07'
modified: '2026-10-06'
specificationVersion: '0.23'
tags:
- dermatology-api
- ai-dermatology
- Medical Imaging
- Telehealth
- skin-analysis
- REST API
- OpenAPI
- Llms.txt
- ce-marked
- White Label
- Healthcare
- Medical AI
- Computer Vision
- Medical Devices
- ICD-10
- image-classification
- Clinical Decision Support
- triage
tags_raw:
- dermatology-api
- ai-dermatology
- medical-imaging
- telemedicine
- skin-analysis
- rest-api
- openapi
- llms-txt
- ce-marked
- white-label
- healthcare
- medical-ai
- computer-vision
- medical-device
- icd-10
- image-classification
- clinical-decision-support
- triage
- Computer-Vision
apis:
- aid: autoderm-ai-dermatology-api:autoderm-ai-dermatology-api-device-api
  name: Autoderm – AI Dermatology API Device API
  description: The device API from Autoderm – AI Dermatology API — 1 operation(s) for device.
  humanURL: https://docs.autoderm.ai/en
  baseURL: https://api.autoderm.ai
  tags:
  - Device
  tags_raw:
  - device
  properties:
  - type: OpenAPI
    url: openapi/autoderm-ai-dermatology-api-device-api-openapi.yml
  - type: OpenAPI Source
    url: https://api.autoderm.ai/openapi.json
  - type: Documentation
    url: https://docs.autoderm.ai/en
  - type: APIReference
    url: https://docs.autoderm.ai/en/api-reference
  - type: GettingStarted
    url: https://docs.autoderm.ai/en/getting-started/getting-started
  - type: LLMSTxt
    url: https://autoderm.ai/llms.txt
- aid: autoderm-ai-dermatology-api:autoderm-ai-dermatology-api-inference-api
  name: Autoderm – AI Dermatology API Inference API
  description: The inference API from Autoderm – AI Dermatology API — 5 operation(s) for inference.
  humanURL: https://docs.autoderm.ai/en
  baseURL: https://api.autoderm.ai
  tags:
  - Inference
  tags_raw:
  - inference
  properties:
  - type: OpenAPI
    url: openapi/autoderm-ai-dermatology-api-inference-api-openapi.yml
  - type: OpenAPI Source
    url: https://api.autoderm.ai/openapi.json
  - type: Documentation
    url: https://docs.autoderm.ai/en
  - type: APIReference
    url: https://docs.autoderm.ai/en/api-reference
  - type: GettingStarted
    url: https://docs.autoderm.ai/en/getting-started/getting-started
  - type: LLMSTxt
    url: https://autoderm.ai/llms.txt
- aid: autoderm-ai-dermatology-api:autoderm-ai-dermatology-api-system-api
  name: Autoderm – AI Dermatology API System API
  description: The system API from Autoderm – AI Dermatology API — 6 operation(s) for system.
  humanURL: https://docs.autoderm.ai/en
  baseURL: https://api.autoderm.ai
  tags:
  - System
  tags_raw:
  - system
  properties:
  - type: OpenAPI
    url: openapi/autoderm-ai-dermatology-api-system-api-openapi.yml
  - type: OpenAPI Source
    url: https://api.autoderm.ai/openapi.json
  - type: Documentation
    url: https://docs.autoderm.ai/en
  - type: APIReference
    url: https://docs.autoderm.ai/en/api-reference
  - type: GettingStarted
    url: https://docs.autoderm.ai/en/getting-started/getting-started
  - type: LLMSTxt
    url: https://autoderm.ai/llms.txt
- aid: autoderm-ai-dermatology-api:autoderm-ai-dermatology-api-utils-api
  name: Autoderm – AI Dermatology API Utils API
  description: The utils API from Autoderm – AI Dermatology API — 1 operation(s) for utils.
  humanURL: https://docs.autoderm.ai/en
  baseURL: https://api.autoderm.ai
  tags:
  - Utils
  tags_raw:
  - utils
  properties:
  - type: OpenAPI
    url: openapi/autoderm-ai-dermatology-api-utils-api-openapi.yml
  - type: OpenAPI Source
    url: https://api.autoderm.ai/openapi.json
  - type: Documentation
    url: https://docs.autoderm.ai/en
  - type: APIReference
    url: https://docs.autoderm.ai/en/api-reference
  - type: GettingStarted
    url: https://docs.autoderm.ai/en/getting-started/getting-started
  - type: LLMSTxt
    url: https://autoderm.ai/llms.txt
maintainers:
- FN: Alexander Börve
  url: https://autoderm.ai/
  email: support@autoderm.ai
generated:
  by: apis.io/add
  model: claude-opus-4-8
  confidence: 90
  at: '2026-08-07T07:19:02.528Z'
common:
- type: CapabilityMap
  url: capabilities/autoderm-ai-dermatology-api-capability-edges.yml
  name: Autoderm – AI Dermatology API Business Capability Map
- url: https://autoderm.ai/feed/
  type: BlogRSS
- type: X-MCPServerCandidate
  url: mcp/autoderm-ai-dermatology-api-mcp.yml
  note: 'Renamed from MCPServer 2026-09-03 (roadmap#247): the manifest self-describes as status: candidate — a tool list derived
    from the published API contracts, not an existing server. The scorer already read the manifest and reported mcp_server
    correctly; the MCPServer type was crediting the artifact-type surfaces with a server that does not exist.'
- type: Website
  url: https://autoderm.ai/
- type: DeveloperPortal
  url: https://app.autoderm.ai
- type: Documentation
  url: https://docs.autoderm.ai/en
- type: APIReference
  url: https://docs.autoderm.ai/en/api-reference
- type: GettingStarted
  url: https://docs.autoderm.ai/en/getting-started/getting-started
- type: Support
  url: https://docs.autoderm.ai/en/support/support-contact
- type: Blog
  url: https://autoderm.ai/blog/
- type: GitHubOrganization
  url: https://github.com/autodermai
- type: Pricing
  url: https://autoderm.ai/pricing/
- type: SignUp
  url: https://app.autoderm.ai/en/auth/sign-up
- type: Login
  url: https://app.autoderm.ai/en/auth/login
- type: TermsOfService
  url: https://autoderm.ai/terms-of-service-autoderm/
- type: PrivacyPolicy
  url: https://autoderm.ai/privacy-policy/
- type: Compliance
  url: https://autoderm.ai/regulatory/
- type: Deprecation
  url: https://docs.autoderm.ai/en/support/api-versioning
- type: Versioning
  url: https://docs.autoderm.ai/en/support/api-versioning
- type: Authentication
  url: authentication/autoderm-ai-dermatology-api-authentication.yml
- type: Conventions
  url: conventions/autoderm-ai-dermatology-api-conventions.yml
- type: ErrorCatalog
  url: errors/autoderm-ai-dermatology-api-problem-types.yml
- type: Lifecycle
  url: lifecycle/autoderm-ai-dermatology-api-lifecycle.yml
- type: Conformance
  url: conformance/autoderm-ai-dermatology-api-conformance.yml
- type: DataModel
  url: data-model/autoderm-ai-dermatology-api-data-model.yml
- type: RateLimits
  url: rate-limits/autoderm-ai-dermatology-api-rate-limits.yml
- type: Plans
  url: plans/autoderm-ai-dermatology-api-plans.yml
- type: Packages
  url: packages/autoderm-ai-dermatology-api-packages.yml
- type: SDKs
  url: packages/autoderm-ai-dermatology-api-packages.yml
- type: Examples
  url: examples/_index.yml
- type: JSONSchema
  url: json-schema/
- type: Overlay
  url: overlays/autoderm-ai-dermatology-api-openapi-overlay.yaml
- type: LLMsTxt
  url: llms/autoderm-ai-dermatology-api-llms.txt
- type: AgentSkill
  url: skills/_index.yml
- type: AgenticAccess
  url: agentic-access/autoderm-ai-dermatology-api-agentic-access.yml
- type: DomainSecurity
  url: security/autoderm-ai-dermatology-api-domain-security.yml
x-enrichment:
  date: '2026-08-09'
  status: enriched
  artifacts_added: 45
  pass: local-v1

Autoderm – AI Dermatology API — frequently asked questions

Does Autoderm – AI Dermatology API have an API?

Yes. APIs.io lists 4 APIs from Autoderm – AI Dermatology API, including Autoderm – AI Dermatology API Device API, Autoderm – AI Dermatology API Inference API and Autoderm – AI Dermatology API System API, and 1 more.

Is there an OpenAPI specification for the Autoderm – AI Dermatology API?

Yes. APIs.io indexes 4 OpenAPI specifications for Autoderm – AI Dermatology API, each linked for download from this page.

How do I authenticate with the Autoderm – AI Dermatology API?

Autoderm – AI Dermatology API uses bearer-token authentication (http · 1 scheme). The details are profiled on APIs.io as Autoderm Ai Dermatology Api Authentication.

How much does the Autoderm – AI Dermatology API cost?

Autoderm – AI Dermatology API publishes its prices; its BASIC plan is $100 per month · 100 detections as of 2026-10-28. APIs.io lists 3 pricing plans for Autoderm – AI Dermatology API, with each plan's price, limits and inclusions under Pricing on this page.

Is the Autoderm – AI Dermatology API ready for AI agents?

Autoderm – AI Dermatology API has a Kin Score of 65.1 out of 100 (strong) and an Agent Readiness score of 27.1 (agent-aware), scored by API Evangelist on 2026-11-06.

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