# languagelayer

**Canonical:** https://apis.io/providers/languagelayer/  
**Website:** https://languagelayer.com/  
**APIs profiled:** 2

Language detection REST API that identifies 173 languages and accents from text with confidence scores, character usage statistics, and batch processing support, powered by an AI-based detection algorithm via the APILayer platform.

## Kin Score — 40.7 / 100 (developing)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 40.7).

| Facet | Score |
|---|---|
| Discoverability | 68.5 |
| Contract Quality | 61.5 |
| Governance | 9.8 |
| Contract Governance | 9.8 |
| Operational Transparency | 21.1 |
| Developer Ergonomics | 22.6 |
| Commercial Clarity | 50.0 |
| Access Clarity | 50.0 |

## Agent readiness — 41.9 (agent-ready)

| Dimension | Value |
|---|---|
| Spec Presence | yes |
| Agentic Access | derived |
| Reversibility Documented | no |
| MCP Server | no |
| Auth Clarity | yes |
| Idempotency | no |
| Error Semantics | verified |
| OpenAPI Examples | verified |
| Rate Limit Signal | documented |
| Event Surface Described | no |
| Agent Skills | no |
| Well Known Catalog | no |
| Consent Identity | no |
| Agent Card | no |
| Dry Run Mode | no |

## Access

Freemium · Self-serve signup — onboarding: self-serve, pricing: freemium, trial: no (confidence: high).

## APIs (2)

- **languagelayer Batch API** — The Batch API from languagelayer — 1 operation(s) for batch.
- **languagelayer Detect API** — The Detect API from languagelayer — 1 operation(s) for detect.

## Agentic access (1)

- **Languagelayer Agentic Access** — 2 operations · 1 acting

## Security (2)

- **Languagelayer Authentication** — apiKey · 1 scheme
- **Languagelayer Domain Security** — TLSv1.3 · HSTS · DMARC

## Plans (1)

- **Languagelayer Plans Pricing**

## Tags

Language Detection, Natural Language Processing, Text Analysis, Machine-Learning, Artificial Intelligence

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