# BeConfident

**Canonical:** https://apis.io/providers/beconfident/  
**Website:** https://beconfident.app  
**APIs profiled:** 0

BeConfident (Beconfident Inteligencia Artificial em Idiomas Ltda.) is an AI-powered English language-learning platform that lets learners practice through real-time conversations with AI tutors via text, voice, and video, plus guided 24/7 lessons, grammar and pronunciation feedback, and study plans tailored to proficiency level, with access across web, WhatsApp, and smartwatch. It is a consumer EdTech application backed by Prosus Ventures and operating primarily in the Brazilian (Portuguese) market. As of this enrichment pass the company publishes no public API, developer portal, or documentation surface, so this profile is identity-only.

## Kin Score — 3.5 / 100 (minimal)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 3.5).

| Facet | Score |
|---|---|
| Discoverability | 50.0 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 4.8 |
| 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

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

## Security (1)

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

## Tags

Company, EdTech, Language Learning, Artificial Intelligence, Education, English

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