# LAB94 Co., Ltd.

**Canonical:** https://apis.io/providers/getfrenchie-dev/  
**Website:** https://getfrenchie.dev/  
**APIs profiled:** 1

LAB94 Co., Ltd. builds narrow, high‑impact AI agent workflow tools. Their flagship product Frenchie combines the Frenchie Method with the Frenchie Kit MCP tools for OCR, transcription, file extraction, and image generation, enabling product teams to move from requirement to release using AI agents. The company focuses on delivering specialized, developer‑friendly solutions for AI‑driven automation and content processing.

## Kin Score — 21.8 / 100 (emerging)

Scored 2026-11-13 under rubric 0.28.0.

| Facet | Score |
|---|---|
| Discoverability | 57.1 |
| Contract Quality | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 14.3 |
| Developer Ergonomics | 23.8 |
| Access Clarity | 53.2 |

Regulatory layer — **Horizontal (data, software, accessibility, platform)**: 7.3 (matched via fallback).

## 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

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

## APIs (1)

- **Frenchie API** — API for Frenchie tools and MCP, documented at the provider's Docs site.

## Security (1)

- **LAB94 Co., Ltd. Domain Security** — TLSv1.3 · HSTS · DMARC

## Plans (1)

- **LAB94 Co., Ltd. Plans Pricing**

## Tags

Artificial Intelligence, Tools, OCR, Transcription, Content Extraction

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