# Augenix AI

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

Augenix AI provides free, AI‑generated professional websites for local service businesses such as plumbers, electricians, HVAC, landscapers, and painters. Users answer a brief questionnaire and receive a multi‑page site in minutes, with optional paid hosting and custom branding. The platform also offers workflow automations, AI agents, dashboards, and custom applications to help small businesses manage leads and online presence.

## Kin Score — 7.2 / 100 (minimal)

Scored 2026-11-06 under rubric 0.27.0. Trend: flat (-3.4 from 10.6).

| Facet | Score |
|---|---|
| Discoverability | 44.6 |
| Contract Quality | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 3.6 |
| Access Clarity | 10.5 |

Regulatory layer — **Horizontal (data, software, accessibility, platform)**: 14.5 (matched via fallback).

## Agent readiness — 17.5 (agent-aware)

| Dimension | Value |
|---|---|
| Spec Presence | no |
| Agentic Access | no |
| Reversibility Documented | no |
| MCP Server | documented |
| Auth Clarity | served |
| 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 | served |
| Protected Resource Metadata | verified |
| 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 (1)

- **Augenix Ai Domain Security** — TLSv1.3 · DMARC

## Tags

Artificial Intelligence, Website Builder, Small Business, Local Services, Free Tier

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