# designare-at

**Canonical:** https://apis.io/providers/designare-at/  
**Website:** https://designare.at/  
**APIs profiled:** 0

Designare.at appears to be a personal portfolio site for Michael Kanda, focusing on web and AI projects. The site includes a brief introduction, links to projects, and contact information. While the domain suggests a company, the content does not provide clear corporate information, services, or an API offering. Further investigation is needed to determine if a formal company exists behind this domain.

## Kin Score — 3.7 / 100 (minimal)

Scored 2026-11-06 under rubric 0.27.0.

| Facet | Score |
|---|---|
| Discoverability | 40.0 |
| Contract Quality | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 5.3 |
| Developer Ergonomics | 2.4 |
| Access Clarity | 0.0 |

Regulatory layer — **Horizontal (data, software, accessibility, platform)**: 5.5 (matched via fallback).

## Agent readiness — 3.5 (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).

## MCP servers (1)

- **designare-at MCP Server** — Remote MCP server at designare.at.

## Security (1)

- **Designare At Domain Security** — TLSv1.3 · HSTS · DMARC

## Tags

Company, Technology, Web, Artificial Intelligence

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