# Storia Originals, Inc.

**Canonical:** https://apis.io/providers/storia-originals-inc/  
**Website:** https://storia.io  
**APIs profiled:** 0

Storia Originals, Inc. (doing business as Storiaverse) was a Los Angeles-based consumer mobile entertainment startup founded in 2023 by Agnes Kozera and David Kierzkowski. Its Storiaverse app pioneered a patent-pending "read-watch" format blending short-form reading, animation, and audio, connecting writers and animators to publish and monetize original stories across sci-fi, fantasy, horror, mystery, and comedy, including adaptations of HarperCollins titles. It raised a pre-seed round led by 500 Global. As of this enrichment pass the company exposes no public API, SDK, or developer platform; both its marketing site (storia.io) and its iOS/Android app store listings are no longer reachable (all HTTP 404), indicating the product is inactive or has been wound down.

## Kin Score — 5.0 / 100 (minimal)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 5.0).

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

## 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).

## Tags

Company, Entertainment, Media, Storytelling, Animation, Mobile App, Publishing

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