Aillis

Aillis, Inc. (アイリス株式会社) is a Tokyo-based medical technology company founded in 2017 that applies machine learning to the diagnosis of infectious disease. Its flagship product, nodoca, is an AI-equipped pharyngeal camera cleared in Japan as an AI-based new medical device for influenza screening: it photographs the posterior pharyngeal wall, detects influenza follicles in the image, and combines those findings with body temperature and reported symptoms to support a physician's diagnosis. nodoca is sold to clinics and hospitals as a finished end-user medical device; Aillis publishes no public developer portal, API reference, SDK or machine-readable contract of any kind, and its corporate site is a marketing site built on the STUDIO no-code platform.

Aillis is profiled on the APIs.io network. Tagged areas include Company, Healthcare, Medical Devices, Artificial Intelligence, and Machine Learning.

Aillis’ developer surface includes engineering blog, support, and 7 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

3.9/100 minimal ▬ flat Agent 0/100 human only Full breakdown ↓
scored 2026-11-13 · rubric v0.28.0 · Show this score on your site →

0 APIs

Company Healthcare Medical Devices Artificial Intelligence Machine Learning Diagnostics Medical Imaging Japan

Kin Score

Kin Score How this is scored →
scored 2026-11-13 · rubric v0.28.0

Composite quality — 3.9/100 · minimal

Contract Quality 0.0 / 21

Developer Ergonomics 0.0 / 17

Access Clarity 0.7 / 17

Operational Transparency 0.0 / 11

Contract Governance 0.0 / 10

Discoverability 4.1 / 9

Regulatory Posture 0.0 / 15

Agent readiness — 0/100 · human only

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 0 / 12

Machine-Readable Auth 0 / 10

Idempotency 0 / 9

Stable Error Semantics 0 / 8

Request/Response Examples 0 / 7

Rate-Limit Signaling 0 / 7

Typed Event Surface 0 / 6

Agent Skills 0 / 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 3 / 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 could not be measured. We hold no machine-readable contract for this provider to read, so there is nothing to measure a write surface against. Excluded rather than scored zero: never-measured and measured-empty are different facts. Publishing an OpenAPI is what makes this facet — and several others — scorable at all.

The six quality facets above are damped to 85 points between them, because the conditional facet above carries the other 15. That is why each facet's contribution is shown against a damped maximum: raising a quality facet moves the composite by 85% of its nominal weight, not 100%. The full arithmetic is at apis.io/rating/.

Show this score on your site.

It updates itself when the score changes. Paste this where you link to your API docs:

<a href="https://apis.io/providers/aillis/"><img src="https://apis.io/badge/aillis/card.svg" alt="Aillis on APIs.io — Kin Score by API Evangelist"></a>

Other styles, a README pill and a shields.io endpoint are on the badge page.

Raise your score.

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

Machine-Readable Contract +18 pts — api_specs includes an OpenAPI document Ask about this →
MCP Server +12 pts — deployment.mode + probe verdict on the mcp/ manifest, not the pointer; an unprobed slug falls back to authorship Ask about this →
Agentic Access Contract +10 pts — agentic_access artifact present (x-agentic-access), graded by author Ask about this →
Machine-Readable Auth +10 pts — a served openid-configuration/oauth-authorization-server carrying `issuer` (served), else the securitySchemes class in the provider OpenAPIs — bound (mutualTLS, DPoP, Signature) > negotiable (oauth2 authorizationCode/clientCredentials, openIdConnect) > bearer (http bearer, apiKey) Ask about this →
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) Ask about this →
Stable Error Semantics +8 pts — OpenAPI $refs a shared error schema across 4xx/5xx responses (verified), else common[].type includes ErrorCatalog / ErrorCodes / DeclineCodes Ask about this →

13 more unmet checks in the Agent Readiness table above.

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

Contract Quality scores 0.0 — up to +25.0 composite points Ask about this →
Developer Ergonomics scores 0.0 — up to +20.0 composite points Ask about this →
Access Clarity scores 4.3 — up to +19.1 composite points Ask about this →

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.

Not sure how this applies to your stack? Ask about any one item. Kin Lane reads every question, looks at your profile and your situation, and replies with what a fix would take — scoped to that one area, priced up front, yours whether you ship it or not. Ask a question →

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/aillis/apis.yml: open an issue on github.com/api-evangelist/aillis 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 →

Privacy & Data 1

Its role, the data it processes, retention and transfers, quoted from its own privacy page.

Aillis

9 quoted statements, read from Aillis's own page on 2026-11-09.

PRIVACY

Security Posture 1

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

Aillis Domain Security

TLSv1.3 · DMARC

SECURITY

Resources

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Operate 1

Status, limits, changes, and where to get help

Support

Support

Commercial 1

Pricing, plans, and the legal terms of use

PrivacyPolicy

PrivacyPolicy

Company 5

The organization behind the API

Website

Blog

About

Careers

LinkedIn

Other 1

Properties that don't map to a standard resource type

DataProcessing

DataProcessing

Source (apis.yml)

aid: aillis
name: Aillis
description: 'Aillis, Inc. (アイリス株式会社) is a Tokyo-based medical technology company founded in 2017 that applies machine learning
  to the diagnosis of infectious disease. Its flagship product, nodoca, is an AI-equipped pharyngeal camera cleared in Japan
  as an AI-based new medical device for influenza screening: it photographs the posterior pharyngeal wall, detects influenza
  follicles in the image, and combines those findings with body temperature and reported symptoms to support a physician''s
  diagnosis. nodoca is sold to clinics and hospitals as a finished end-user medical device; Aillis publishes no public developer
  portal, API reference, SDK or machine-readable contract of any kind, and its corporate site is a marketing site built on
  the STUDIO no-code platform.'
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  probe_state: none
  source:
  - security
  generated: '2026-11-13'
  method: derived
image: https://storage.googleapis.com/production-os-assets/assets/b6fd5289-9033-4b4c-8983-676f44998135
url: https://raw.githubusercontent.com/api-evangelist/aillis/refs/heads/main/apis.yml
x-type: company
x-source: harvest:secondary-market
specificationVersion: '0.20'
created: '2026-09-14'
modified: '2026-09-14'
tags:
- Company
- Healthcare
- Medical Devices
- Artificial Intelligence
- Machine Learning
- Diagnostics
- Medical Imaging
- Japan
tags_raw:
- Company
- Healthcare
- Medical Devices
- Artificial Intelligence
- Machine Learning
- Diagnostics
- Medical Imaging
- Japan
- Machine-Learning
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: DomainSecurity
  url: security/aillis-domain-security.yml
- type: Website
  url: https://aillis.jp/
- type: Blog
  url: https://aillis.jp/en/news
- type: PrivacyPolicy
  url: https://aillis.jp/en/privacy
- type: Support
  url: https://aillis.jp/en/contact
- type: Solutions
  url: https://nodoca.aillis.jp/
- type: About
  url: https://aillis.jp/about
- type: Careers
  url: https://aillis.jp/careers
- type: LinkedIn
  url: https://www.linkedin.com/company/aillis-inc/
- type: DataProcessing
  url: privacy/aillis-privacy-policy.yml
x-enrichment:
  date: '2026-09-14'
  status: minimal
  artifacts_added: 2
  pass: local-v3
x-coverage:
  state: none
  reason: no-developer-program
  detail: Aillis ships nodoca as a finished AI medical device to Japanese clinics, not as a platform — its entire web presence
    is a STUDIO-built marketing site whose sitemap lists only about, technology, news, careers, privacy, presskit and contact,
    with no developer, API or docs path anywhere, and contract discovery against aillis.jp, www.aillis.jp and nodoca.aillis.jp
    found no OpenAPI, GraphQL, MCP, agent card, llms.txt or .well-known document.
  evidence:
  - url: https://aillis.jp/sitemap-static.xml
    status: 200
  - url: https://aillis.jp/openapi.json
    status: 200
  - url: https://nodoca.aillis.jp/openapi.json
    status: 404
  - url: https://nodoca.aillis.jp/.well-known/agent-card.json
    status: 404
  - url: https://aillis.jp/bogus-does-not-exist-xyz
    status: 200
  checked: '2026-09-14'

Work with this as data

Every provider here is available over the APIs.io API and to AI agents over MCP.

MCP server

One button, every client — Claude, Cursor, VS Code and the rest.

https://apis.io/mcp

Tools for providers

9 MCP tools reach this

find_providersBrowse and filter every provider in the catalog.
get_provider_artifactsEvery artifact this provider publishes, grouped by type.
get_provider_operationsEvery operation across all of their OpenAPIs — one call instead of parsing every spec.
get_provider_toolsEvery MCP tool they ship, with the operation each wraps.
get_provider_evidenceHow each part of their score was established. Free — the basis for a claim should not sit behind it.
get_provider_ratingPRO — composite, band, trend and facet scores.
apis_io_searchSTART HERE — APIs, providers and tags for one query, each with its total.
resolveTurn a domain, URL or GitHub org into the provider it belongs to.
find_cohortsEvery scored population of providers in the catalog.

All 92 tools →

Call it yourself

curl for this page

This provider

curl "https://apis.io/api/v1/providers/aillis"

All providers

curl "https://apis.io/api/v1/providers?limit=25"

Every operation they expose

curl "https://apis.io/api/v1/providers/aillis/operations?limit=25"

How their score was established

curl "https://apis.io/api/v1/providers/aillis/evidence"

Calls without X-API-Key need no key. Calls with it need a paid plan — get a key.

Get an API key

Free tier, no form to fill in. Signing in shares your email address with us — we store it to create your key and to recognise you if you sign in with another provider. See our Privacy Policy and Terms.

GitHub Google LinkedIn

A second provider on the same verified email joins the account you already have.