# Wodan AI

**Canonical:** https://apis.io/providers/wodan-ai/  
**Website:** https://wodan.ai  
**APIs profiled:** 0

Wodan AI provides zero‑trust AI solutions that run machine‑learning models on encrypted data without ever decrypting it. By leveraging advanced cryptographic techniques, the platform enables enterprises to extract insights from sensitive information while preserving privacy and complying with regulations such as GDPR and the EU AI Act. Their services target identity verification, financial services, industrial IP protection, and broader AI‑driven analytics, offering a secure, collaborative environment for data‑intensive workloads.

## Kin Score — 17.0 / 100 (emerging)

Scored 2026-10-31 under rubric 0.25.0.

| Facet | Score |
|---|---|
| Discoverability | 44.6 |
| Contract Quality | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 10.5 |
| Developer Ergonomics | 21.4 |
| Access Clarity | 28.9 |

Regulatory layer — **Horizontal (data, software, accessibility, platform)**: 22.7 (matched via fallback).

## Agent readiness — 3.1 (human-only)

| Dimension | Value |
|---|---|
| Spec Presence | no |
| Agentic Access | no |
| Reversibility Documented | no |
| MCP Server | documented |
| 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 |
| Delegated Identity | no |
| Protected Resource Metadata | no |
| Dynamic Client Registration | no |
| Agentic Commerce | no |
| Pagination Ratio | na |
| Operation Distinctiveness | na |

## Security (2)

- **Wodan Ai Domain Security** — TLSv1.3 · DMARC
- **Wodan Ai Vulnerability Disclosure** — security.txt · contact published

## Tags

Company, AI, Zero-Trust, Encryption, Data-Privacy, Financial-Services

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