# Co2recyclingresearchinstitute

**Canonical:** https://apis.io/providers/co2recyclingresearchinstitute/  
**Website:** https://www.co2.co.jp  
**APIs profiled:** 1

Co2recyclingresearchinstitute is an alternative protein startup based in Tokyo, Japan, focused on research, development, manufacturing, and sales of artificial protein resources derived from carbon dioxide recycling. The institute aims to create sustainable protein solutions by converting CO2 into valuable food ingredients, addressing global food security and climate change challenges. It has raised Series B funding and is positioned as a key player in the emerging carbon recycling industry.

## Kin Score — 14.9 / 100 (emerging)

Scored 2026-10-09 under rubric 0.23.0.

| Facet | Score |
|---|---|
| Discoverability | 57.1 |
| Contract Quality | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 26.2 |
| Access Clarity | 21.1 |

Regulatory layer — **Horizontal (data, software, accessibility, platform)**: 13.7 (matched via fallback).

## Agent readiness — 3.1 (human-only)

| Dimension | Value |
|---|---|
| Spec Presence | no |
| Agentic Access | no |
| Reversibility Documented | no |
| MCP Server | documented |
| 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 |

## APIs (1)

- **Co2 Recycling Research Institute API** — UCDI® Technology API documentation

## Security (1)

- **Co2Recyclingresearchinstitute Domain Security** — TLSv1.3 · HSTS · DMARC

## Tags

Company, Alternative Protein, Carbon Recycling, Sustainable Food, Tokyo

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Profiled by [API Evangelist](https://apievangelist.com) and published on [APIs.io](https://apis.io/providers/co2recyclingresearchinstitute/). Scores are computed from the provider's own public artifacts under a published rubric.