# English Central

**Canonical:** https://apis.io/providers/english-central/  
**Website:** http://englishcentral.com  
**APIs profiled:** 0

English Central is an online English language learning platform that combines a large library of authentic video content with speech-recognition-driven pronunciation practice, adaptive vocabulary and quiz tools, and live one-on-one lessons with tutors. It serves individual learners as well as schools, universities, and enterprise/partner programs (including regional partners in Japan and elsewhere). Backed by GV (Google Ventures), it operates in the consumer education / EdTech sector. No public developer API, SDK, or developer portal was found during enrichment; partner integrations appear to be handled privately.

## Kin Score — 2.5 / 100 (minimal)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 2.5).

| 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 |

Regulatory layer — **Education & Research**: 11.1 (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

Requires approval — onboarding: approval, pricing: unknown, trial: no (confidence: medium).

## Security (1)

- **English Central Domain Security** — TLSv1.3 · HSTS · DMARC

## Tags

Company, Consumer, Education, EdTech, Language Learning, E-Learning, English, Video

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