# Hugo

**Canonical:** https://apis.io/providers/hugo-team/  
**Website:** https://hugo.ai/  
**APIs profiled:** 1

Hugo AI is an AI‑powered customer support agent that resolves tickets faster, automates repetitive tasks, and serves customers 24/7. It connects to business tools via the Model Context Protocol (MCP), enabling real‑time data access and actions. Hugo offers a no‑code interface for quick deployment, supports multiple large language models, and provides enterprise‑grade encryption, EU data residency, and compliance. The platform includes performance analytics, customizable routing, and seamless integration with helpdesks, knowledge bases, and CRMs, helping teams reduce support workload and improve satisfaction.

## Kin Score — 9.8 / 100 (minimal)

Scored 2026-10-31 under rubric 0.25.0.

| Facet | Score |
|---|---|
| Discoverability | 57.1 |
| Contract Quality | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 21.1 |
| Developer Ergonomics | 7.1 |
| Access Clarity | 0.0 |

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

## Agent readiness — 2.9 (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 | yes |
| 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)

- **Hugo API** — AI-powered customer support API

## Security (2)

- **Hugo Team Authentication** — 0 schemes
- **Hugo Team Domain Security** — TLSv1.3 · HSTS · DNSSEC · DMARC

## Tags

AI, Customer Support, SaaS, Automation, Enterprise

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