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.
Solid contracts, transparent operations, and an easy start — typically complete on four or five facets with one clear soft spot.
API Evangelist profiles Autoderm – AI Dermatology API the way a machine reads it — 37 machine-readable artifacts across 4 APIs, pulled from the provider's own public surface and indexed so a developer, an analyst, or an AI agent can evaluate it against every other provider on the network.
Every provider in the network is reduced to the same set of machine-readable artifacts — OpenAPI contracts, event specifications, GraphQL schemas, runnable collections, pricing and rate-limit signals, security posture, OAuth scopes, and the agent surfaces (MCP servers and skills) that let software drive the API on its own. We profile them because the interface is the part of a company you can actually inspect: it is a truer signal of what a provider does than any marketing page. From those artifacts we compute the Kin Score — Autoderm – AI Dermatology API scores 59.4/100 (strong), with a separate agent-readiness read of 43/100 (agent ready). The full breakdown is below, followed by every artifact we hold — each card links through to its machine-readable definition on apis.io.
Kin Score
This is the API Evangelist rating — a single, repeatable read computed from the artifacts on this page. Green fill is points earned; the red track is points possible, so every bar shows earned-versus-possible at a glance.
Kin Score
How this is scored →scored 2026-08-17 · rubric v0.11.0
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How we profile Autoderm – AI Dermatology API
Each block below is one kind of artifact we hold for Autoderm – AI Dermatology API. For each we say what it is and why it earns a place in the profile, then list every one we've indexed — capped at two rows, scroll within the panel for the rest.
APIs 4
Each API is captured as its own OpenAPI definition — every operation, parameter, and response. This is the single most useful machine-readable description of what an API does, and it's what lets us score, lint, mock, and generate against it without asking the provider for anything.
Individual APIs this provider publishes, each with its own machine-readable definition.
Autoderm – AI Dermatology API Device API
The device API from Autoderm – AI Dermatology API — 1 operation(s) for device.
Autoderm – AI Dermatology API Inference API
The inference API from Autoderm – AI Dermatology API — 5 operation(s) for inference.
Autoderm – AI Dermatology API System API
The system API from Autoderm – AI Dermatology API — 6 operation(s) for system.
Autoderm – AI Dermatology API Utils API
The utils API from Autoderm – AI Dermatology API — 1 operation(s) for utils.
Open Collections 5
Open, tool-agnostic collections carry the same runnable value as Postman without locking you to one client — the portable, forkable form of the same exercise.
Open, tool-agnostic API collections (OpenAPI-derived and Bruno).
API Collection
OPEN COLLECTIONAutoderm Device API
OPEN COLLECTIONAutoderm Inference API
OPEN COLLECTIONAutoderm System API
OPEN COLLECTIONAutoderm Utils API
OPEN COLLECTIONMCP Servers 1
Model Context Protocol servers expose these APIs directly to AI agents. We profile them because agent-native access is the fastest-growing way this provider's capabilities actually get used.
Model Context Protocol servers that expose these APIs to AI agents.
autoderm-ai-dermatology-api-mcp.yml
MCP SERVERPricing Plans 1
Pricing is part of the interface. Machine-readable plans tell you what a tier costs and includes before you commit — one of the six things the Kin Score reads for commercial clarity.
Published pricing tiers and plan structures.
Rate Limits 1
Rate limits are the difference between a demo that works and a production integration that doesn't fall over. Publishing them is an operational-transparency signal — and a hard requirement for any agent that plans its own throughput.
Documented rate limits and quota policies.
Autoderm Ai Dermatology Api Rate Limits
RATE LIMITSJSON Schema 18
Standalone JSON Schema definitions describe the data models behind the API. We profile them so the shapes are validatable on their own — useful long after a single request is forgotten.
Standalone JSON Schema definitions for this provider's data models.
AgeModelResponse
JSON SCHEMABody_detect_blur_v1_utils_detect_blur_post
JSON SCHEMABody_infer_age_v1_v1_infer_age_v1_post
JSON SCHEMABooleanAnalysis
JSON SCHEMADetectBlurResponse
JSON SCHEMADiseaseCatalogEntry
JSON SCHEMADiseaseCatalogLocalizedEntry
JSON SCHEMADiseaseCategory
JSON SCHEMADiseaseModelResponse
JSON SCHEMADiseasePrediction
JSON SCHEMAHTTPValidationError
JSON SCHEMAMedicalDeviceLabel
JSON SCHEMASkinToneModelResponse
JSON SCHEMAValidationError
JSON SCHEMAVersion
JSON SCHEMAScroll within the panel for all 18 ·
Examples 4
Real request and response payloads are what turn a spec from abstract into obvious — and they're one of the twelve things an agent needs to call an API correctly on the first try.
Example request and response payloads for these APIs.
Security Posture 2
Authentication, domain security, vulnerability disclosure, and trust-center signals — the evidence that a provider takes security seriously enough to document it. We profile it because you can't govern what you can't see.
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Agentic Access 1
An x-agentic-access contract marks which operations are safe for an agent to run on its own and which need a human in the loop. It is the difference between an API an agent can use and one it can use safely.
Recommended x-agentic-access execution contracts for AI agents.
Resources
Every other property we hold for Autoderm – AI Dermatology API — documentation, portals, status pages, policies, and corporate surface — grouped by the job it does, following the integrator's arc from getting started to running in production.
Get Started 4
Portal, sign-up, and the first successful call
Documentation 3
Reference material describing how the API behaves
Agent Surfaces 4
MCP servers, agent skills, and machine-readable catalogs
Design & Contract 6
Pagination, idempotency, versioning, errors, and events
Build 4
SDKs, sample code, and the tooling you integrate with
Access & Security 3
Authentication, authorization, and security posture
Operate 3
Status, limits, changes, and where to get help
Commercial 4
Pricing, plans, and the legal terms of use
Company 2
The organization behind the API
Other 1
Properties that don't map to a standard resource type
← All providers · Data indexed from github.com/api-evangelist/autoderm-ai-dermatology-api · machine-readable index on apis.io
This is an independent, third-party profile of Autoderm – AI Dermatology API, published by API Evangelist. We do not operate, host, resell, or support these APIs, and we are not affiliated with or endorsed by the company unless stated above. Everything here is built from publicly available information — the company's own site, developer portal, documentation, public repositories, and the specifications it publishes for public use. Nothing is obtained by breaching a system, defeating an access control, or using credentials.
The Kin Score and Agent Readiness rating are independently calculated assessments of a company's public API artifacts, scored against a published rubric. They are not certifications, endorsements, security assessments, or audits.
Corrections, re-scores, and removal are free — no partnership or purchase required, and you do not need to justify the request. A removed company is recorded as unrated, never scored zero for having asked. Acknowledgement within one business day; removal within two.
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