# Zzish

**Canonical:** https://apis.io/providers/zzish/  
**Website:** https://zzish.com/  
**APIs profiled:** 0

Zzish is an EdTech company (a Techstars-backed startup) building a K-12 learning product suite used by teachers and students across 180 countries. Its flagship product, Quizalize, is a classroom quiz and formative-assessment platform; the portfolio also includes Blockerzz (a 3D game engine with quiz games and coding tutorials), Marvely.ai (AI-powered, exam-aligned language tutoring), Quizalize Insights (leadership dashboards for tracking academic progress), and QUAT (a customer-analytics platform for schools and EdTech partners). Zzish reports 250k+ teachers onboarded in the last two years and 250m+ questions answered since launch. As of this enrichment pass, Zzish publishes no public developer API, OpenAPI, or developer-documentation surface.

## Kin Score — 12.1 / 100 (emerging)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 12.1).

| Facet | Score |
|---|---|
| Discoverability | 50.0 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 2.4 |
| Commercial Clarity | 34.2 |
| Access Clarity | 34.2 |

Regulatory layer — **Education & Research**: 25.9 (matched via tags).

## 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)

- **Zzish Domain Security** — TLSv1.3 · HSTS · DMARC

## Tags

Company, Education, EdTech, K-12, Assessment, Quizzes, Learning, AI Tutoring

---

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