# KatalistAI

**Canonical:** https://apis.io/providers/katalistai/  
**Website:** https://katalist.ai  
**APIs profiled:** 0

Katalist is an AI-powered storyboarding and video platform that turns scripts and ideas into visual stories with consistent characters and scenes. Founded in 2023, it converts scripts (CSV, Word, PowerPoint) into storyboards in one click, keeps characters consistent across shots, lets creators customize framing, angles, poses and scenes, and includes a video studio that layers voiceover, music and sound effects. It targets filmmakers, directors, advertisers, content creators, animators and educators looking to move from concept to visualized story faster. Backed by 500 Global, Katalist is a consumer/creative generative-AI SaaS accessed through its web application; it does not currently publish a public developer API, OpenAPI definition, or developer documentation surface.

## Kin Score — 10.6 / 100 (minimal)

Scored 2026-08-21 under rubric 0.12.0. Trend: flat (+0.0 from 10.6).

| Facet | Score |
|---|---|
| Discoverability | 50.0 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 7.1 |
| Commercial Clarity | 21.1 |
| Access Clarity | 21.1 |

## Agent readiness — 0.0 (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 | no |
| Consent Identity | no |
| Agent Card | no |
| Dry Run Mode | no |

## Access

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

## Security (1)

- **Katalistai Domain Security** — TLSv1.3 · DMARC

## Tags

Company, Artificial Intelligence, Generative AI, Storyboarding, Video, Content Creation, Filmmaking, Creative Tools, Software-as-a-Service

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