# Animalindustrydatakorea

**Canonical:** https://apis.io/providers/animalindustrydatakorea/  
**Website:** https://equityzen.com/company/animalindustrydatakorea  
**APIs profiled:** 1

Animalindustrydatakorea provides comprehensive data on the Korean animal industry, including livestock statistics, health monitoring, farm productivity, and sustainability metrics. The company focuses on digital health solutions for livestock, leveraging AI and data analytics to improve animal welfare and farm efficiency, supporting both domestic and global agricultural stakeholders.

## Kin Score — 4.8 / 100 (minimal)

Scored 2026-10-23 under rubric 0.25.0. Trend: flat (+0.0 from 4.8).

| Facet | Score |
|---|---|
| Discoverability | 62.5 |
| Contract Quality | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 0.0 |
| Access Clarity | 0.0 |

Regulatory layer — **Horizontal (data, software, accessibility, platform)**: 5.5 (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 |

## APIs (1)

- **Animal Industry Data Korea API** — Provides data on Korean animal industry as described on the company's website.

## Security (1)

- **Animalindustrydatakorea Domain Security** — TLSv1.3 · DMARC

## Tags

Company, Agriculture, Data, Livestock, Artificial Intelligence

---

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