# Avatar Factory

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

Avatar Factory provides an AI-powered platform that lets users create and monetize AI influencer avatars. Users can generate short video reels in minutes using scripts that analyze over 50 million videos. The service offers a $1 three‑day trial, monthly plans starting at $39, and a help center with guides, pricing details, and support resources.

## Kin Score — 27.1 / 100 (thin)

Scored 2026-11-02 under rubric 0.26.0.

| Facet | Score |
|---|---|
| Discoverability | 48.2 |
| Contract Quality | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 15.8 |
| Developer Ergonomics | 26.2 |
| Access Clarity | 65.8 |

Regulatory layer — **Horizontal (data, software, accessibility, platform)**: 27.3 (matched via fallback).

## Agent readiness — 20.5 (agent-aware)

| Dimension | Value |
|---|---|
| Spec Presence | no |
| Agentic Access | no |
| Reversibility Documented | no |
| MCP Server | no |
| Auth Clarity | served |
| Idempotency | no |
| Error Semantics | no |
| OpenAPI Examples | no |
| Rate Limit Signal | documented |
| Event Surface Described | no |
| Agent Skills | no |
| Well Known Catalog | yes |
| 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

Paid · Open access — onboarding: open, pricing: paid, trial: no (confidence: medium).

## Security (2)

- **Avatarfactory Io Authentication** — 0 schemes
- **Avatarfactory Io Domain Security** — TLSv1.3 · DMARC

## Plans (1)

- **Avatarfactory Io Plans Pricing**

## Tags

Artificial Intelligence, Avatars, Influencer, Video, Marketing, Company

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