# Inoh

**Canonical:** https://apis.io/providers/inoh-app/  
**Website:** https://inoh.app/  
**APIs profiled:** 1

Inoh is a vocabulary‑building application that helps users super‑power their English. It lets you collect words from anywhere, turn them into rich vocabulary cards with pictures, audio and example sentences, and practice them using AI‑driven review sessions. The service offers free, Plus and Pro plans with increasing limits on cards, private AI‑made cards and Claude review sessions, catering to learners of all levels.

## Kin Score — 8.5 / 100 (minimal)

Scored 2026-11-13 under rubric 0.28.0.

| Facet | Score |
|---|---|
| Discoverability | 57.1 |
| Contract Quality | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 16.7 |
| Access Clarity | 8.5 |

Regulatory layer — **Education & Research**: 3.6 (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 |
| Delegated Identity | no |
| Protected Resource Metadata | no |
| Dynamic Client Registration | no |
| Agentic Commerce | no |
| Pagination Ratio | na |
| Operation Distinctiveness | na |
| MCP Tool Quality | na |

## Access

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

## APIs (1)

- **Inoh API** — API documentation is provided at the Inoh Docs site but no machine‑readable OpenAPI spec was found.

## Security (1)

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

## Tags

Education, Vocabulary, Language Learning, Artificial Intelligence, Mobile App

---

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