dehaze

dehaze is a Munich-area (Fürstenfeldbruck, Germany) healthtech company, part of the Techstars Berlin cohort, building proprietary causal AI infrastructure that detects chronic and autoimmune disease earlier by identifying overlooked diagnoses, health risks, and inappropriate treatments. Its platform unifies and harmonizes diverse health data (lab results, medical imaging, genomics, clinical notes) into doctor-validated patient journeys, risk-profiles individuals against millions of health journeys and medical guidelines, and runs targeted AI follow-ups to improve treatment adherence for patients, payers, and providers. dehaze has analyzed over 250,000 patient lives across 300 million health events and 200+ AI algorithms, and raised €3.2M in 2026. dehaze publishes no first-party developer API; it exposes a Wix Site MCP endpoint and an llms.txt for agentic AI access to public site content.

dehaze is profiled on the APIs.io network. Tagged areas include Company, Health Tech, Artificial Intelligence, Machine-Learning, and Digital Health.

🌐 Visit website 📡 Source on GitHub

4.1/100 minimal ▬ flat Agent 9/100 agent aware Full breakdown ↓
scored 2026-09-08 · rubric v0.20.0

0 APIs 1 MCP Servers

Company Health Tech Artificial Intelligence Machine-Learning Digital Health Chronic Disease Diagnostics Data Harmonization Techstars Germany

Kin Score

Kin Score How this is scored →
scored 2026-09-08 · rubric v0.20.0

Composite quality — 4.1/100 · minimal

Contract Quality 0.0 / 21

Developer Ergonomics 0.0 / 17

Access Clarity 0.0 / 17

Operational Transparency 0.0 / 11

Contract Governance 0.0 / 10

Discoverability 4.9 / 9

Regulatory Posture 1.1 / 15

Agent readiness — 9/100 · agent aware

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 12 / 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

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/.

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 github.com/api-evangelist/dehaze: open an issue to ask a question, or submit a pull request to add artifacts. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

MCP Servers 1

Model Context Protocol servers that expose these APIs to AI agents.

dehaze MCP Server

MCP SERVER

Security Posture 1

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

Dehaze Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Resources

Agent Surfaces 2

MCP servers, agent skills, and machine-readable catalogs

MCPServer

MCPServer

LLMsTxt

LLMsTxt

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Company 4

The organization behind the API

About

Careers

Press

Website

Source (apis.yml)

aid: dehaze
name: dehaze
description: dehaze is a Munich-area (Fürstenfeldbruck, Germany) healthtech company, part of the Techstars Berlin cohort,
  building proprietary causal AI infrastructure that detects chronic and autoimmune disease earlier by identifying overlooked
  diagnoses, health risks, and inappropriate treatments. Its platform unifies and harmonizes diverse health data (lab results,
  medical imaging, genomics, clinical notes) into doctor-validated patient journeys, risk-profiles individuals against millions
  of health journeys and medical guidelines, and runs targeted AI follow-ups to improve treatment adherence for patients,
  payers, and providers. dehaze has analyzed over 250,000 patient lives across 300 million health events and 200+ AI algorithms,
  and raised €3.2M in 2026. dehaze publishes no first-party developer API; it exposes a Wix Site MCP endpoint and an llms.txt
  for agentic AI access to public site content.
url: https://raw.githubusercontent.com/api-evangelist/dehaze/refs/heads/main/apis.yml
deliveryModel:
  model: unknown
  open_source: false
  commercial: false
  callable_host: false
  label: Delivery model not determined — needs a product licence on record
  confidence: low
  source:
  - none
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source: []
  generated: '2026-07-22'
  method: derived
image: https://static.wixstatic.com/media/2f3c0d_42767967d90a40f58e3c1dc8c413b9a4~mv2.png
x-type: company
x-source: vc-portfolio
x-backed-by:
- techstars
x-tier: stub
x-tier-reason: portfolio-lead
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-18'
tags:
- Company
- Health Tech
- Artificial Intelligence
- Machine-Learning
- Digital Health
- Chronic Disease
- Diagnostics
- Data Harmonization
- Techstars
- Germany
tags_raw:
- Company
- Healthtech
- Artificial Intelligence
- Machine Learning
- Digital Health
- Chronic Disease
- Diagnostics
- Data Harmonization
- Techstars
- Germany
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: MCPServer
  url: mcp/dehaze-mcp.yml
- type: LLMsTxt
  url: llms/dehaze-llms.txt
- type: DomainSecurity
  url: security/dehaze-domain-security.yml
- type: About
  url: https://www.dehaze.de/about
- type: Careers
  url: https://www.dehaze.de/careers
- type: Press
  url: https://www.dehaze.de/press
- type: Website
  url: https://dehaze.de/
x-enrichment:
  date: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence

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