# AIonIQ Labs

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

AIonIQ Labs builds privacy‑first, security‑focused AI tools that give individuals and organisations control over their data. Their products span private search, healthcare intelligence, local AI memory, and AI threat monitoring, all designed to work without compromising information. The company pioneers AI security with cutting‑edge LLM code analysis to protect against vulnerabilities and ensure safer AI development.

## Kin Score — 5.4 / 100 (minimal)

Scored 2026-11-06 under rubric 0.27.0. Trend: flat (+0.0 from 5.4).

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

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

## 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 |
| MCP Tool Quality | na |

## Access

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

## Security (2)

- **Aioniq Ai Domain Security** — TLSv1.3 · HSTS · DNSSEC · DMARC
- **Aioniq Ai Vulnerability Disclosure** — no policy recorded

## Tags

AI Security, LLM Safety, Privacy, Healthcare, Search

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