# Fraugster

**Canonical:** https://apis.io/providers/fraugster/  
**Website:** http://fraugster.com  
**APIs profiled:** 0

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.

## Kin Score — 1.5 / 100 (minimal)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 1.5).

| Facet | Score |
|---|---|
| Discoverability | 50.0 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 0.0 |
| Commercial Clarity | 0.0 |
| Access Clarity | 0.0 |

Regulatory layer — **Payments**: 9.4 (matched via tags).

## Agent readiness — 0.0 (human-only)

| Dimension | Value |
|---|---|
| Spec Presence | no |
| Agentic Access | no |
| Reversibility Documented | no |
| MCP Server | no |
| Auth Clarity | no |
| Idempotency | no |
| Error Semantics | no |
| OpenAPI Examples | no |
| Rate Limit Signal | no |
| Event Surface Described | no |
| Agent Skills | no |
| Well Known Catalog | no |
| Consent Identity | no |
| Agent Card | no |
| Dry Run Mode | no |

## Access

Unknown — onboarding: unknown, pricing: unknown, trial: no (confidence: low).

## Security (1)

- **Fraugster Domain Security** — TLSv1.3 · HSTS · DMARC

## Tags

Company, Fraud Prevention, Payments, Machine-Learning, Artificial Intelligence, Risk Management, Security

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Profiled by [API Evangelist](https://apievangelist.com) and published on [APIs.io](https://apis.io/providers/fraugster/). Scores are computed from the provider's own public artifacts under a published rubric.