# aiegis-ie

**Canonical:** https://apis.io/providers/aiegis-ie/  
**Website:** https://aiegis.ie/  
**APIs profiled:** 1

AIEGIS provides universal identity, governance, and visibility solutions for autonomous AI agents. It enables businesses to assign verifiable identities to AI agents, enforce real‑time policy compliance, and record tamper‑evident evidence of actions. The platform offers a single /api/protect endpoint that evaluates requests across fifteen security layers, including identity verification, instruction integrity, data protection, and human‑review routing, helping organizations trust and control AI‑driven operations.

## Kin Score — 11.1 / 100 (emerging)

Scored 2026-10-31 under rubric 0.25.0.

| Facet | Score |
|---|---|
| Discoverability | 57.1 |
| Contract Quality | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 15.8 |
| Developer Ergonomics | 23.8 |
| Access Clarity | 0.0 |

Regulatory layer — **Horizontal (data, software, accessibility, platform)**: 5.5 (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 |

## APIs (1)

- **AIEGIS API** — API for AIEGIS identity, governance, and visibility platform as described in the developer docs.

## Security (1)

- **Aiegis Ie Domain Security** — TLSv1.3 · HSTS

## Tags

Company, AI, Identity, Governance, Security

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