# Aicut

**Canonical:** https://apis.io/providers/aicut-pro/  
**Website:** https://www.aicut.pro/  
**APIs profiled:** 0

Aicut provides an AI-powered video generation platform enabling creators to produce faceless YouTube, TikTok, and Instagram videos automatically. Leveraging advanced text‑to‑video models, it offers voiceover, captions, and auto‑scheduling features, targeting marketers and content creators seeking scalable video content. The service includes a free tier and paid plans with higher resolution outputs and brand customization.

## Kin Score — 14.5 / 100 (emerging)

Scored 2026-11-06 under rubric 0.27.0. Trend: flat (-4.8 from 19.3).

| Facet | Score |
|---|---|
| Discoverability | 48.2 |
| Contract Quality | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 3.6 |
| Access Clarity | 47.4 |

Regulatory layer — **AI & Biometrics**: 14.5 (matched via residual_tags).

## Agent readiness — 18.2 (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 | no |
| Dynamic Client Registration | yes |
| Agentic Commerce | no |
| Pagination Ratio | na |
| Operation Distinctiveness | na |
| MCP Tool Quality | na |

## Access

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

## Security (1)

- **Aicut Pro Domain Security** — TLSv1.3 · HSTS · DMARC

## Plans (1)

- **Aicut Pro Plans Pricing**

## Tags

Artificial Intelligence, Video Generation, Marketing, Content Creation, Automation, Company

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