Fraugster website screenshot

Fraugster

Fraugster is a Berlin-based artificial intelligence company focused on payment fraud prevention and transaction risk scoring for online merchants, payment service providers, and acquirers. Its machine-learning platform was designed to analyze payments in real time to detect and block fraudulent transactions while reducing false declines and chargebacks. The company was surfaced through venture portfolio data (backed by Seedcamp) and added to the API Evangelist network. During this enrichment pass the company's public developer surface was not reachable to automated clients (the primary domain returns HTTP 403), so no API specifications, SDKs, or documentation could be harvested; only live infrastructure/domain-security signals were probed.

Fraugster is profiled on the APIs.io network. Tagged areas include Company, Fraud Prevention, Payments, Machine Learning, and Artificial Intelligence.

7.7/100 minimal ▬ flat Agent 0/100 human only Full breakdown ↓
scored 2026-07-27 · rubric v0.5
0 APIs
CompanyFraud PreventionPaymentsMachine LearningArtificial IntelligenceRisk ManagementSecurity

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-07-27 · rubric v0.5
Composite quality — 7.7/100 · minimal
Contract Quality 0.0 / 25
Developer Ergonomics 0.0 / 20
Commercial Clarity 0.0 / 20
Operational Transparency 0.0 / 13
Governance 0.0 / 12
Discoverability 6.8 / 10
Agent readiness — 0/100 · human only
Machine-Readable Contract 0 / 18
Agentic Access Contract 0 / 15
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
Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. This rating is computed from github.com/api-evangelist/fraugster: open an issue to ask a question, or submit a pull request to add artifacts. Want it done for you? Prioritized profiling — $2,500 →

Security Posture 1

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

Fraugster Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Resources

Access & Security 1

Authentication, authorization, and security posture

Company 1

The organization behind the API

Source (apis.yml)

apis.yml Raw ↑
aid: fraugster
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://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/fraugster.png
name: Fraugster
description: Fraugster is a Berlin-based artificial intelligence company focused on payment fraud prevention and transaction
  risk scoring for online merchants, payment service providers, and acquirers. Its machine-learning platform was designed
  to analyze payments in real time to detect and block fraudulent transactions while reducing false declines and chargebacks.
  The company was surfaced through venture portfolio data (backed by Seedcamp) and added to the API Evangelist network. During
  this enrichment pass the company's public developer surface was not reachable to automated clients (the primary domain returns
  HTTP 403), so no API specifications, SDKs, or documentation could be harvested; only live infrastructure/domain-security
  signals were probed.
url: https://raw.githubusercontent.com/api-evangelist/fraugster/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- seedcamp
x-tier: stub
x-tier-reason: portfolio-lead
specificationVersion: '0.20'
created: '2026-07-17'
modified: '2026-07-19'
tags:
- Company
- Fraud Prevention
- Payments
- Machine Learning
- Artificial Intelligence
- Risk Management
- Security
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: DomainSecurity
  url: security/fraugster-domain-security.yml
- type: Website
  url: http://fraugster.com
x-enrichment:
  date: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence