# Institute of Communication and Computer Systems (ICCS)

**Canonical:** https://apis.io/providers/institute-of-communication-and-computer-systems-iccs/  
**Website:** https://i-sense.iccs.gr/  
**APIs profiled:** 0

Institute of Communication and Computer Systems (ICCS) is a research institute within the National Technical University of Athens (NTUA). It focuses on advancing research and innovation in electrical, electronic, and computer engineering and technologies. ICCS operates multiple divisions such as Connected Cooperative Automated Mobility, Clean Industrial & Energy Systems, Smart Mobility Applied Systems, and many others, offering labs, test facilities, and collaborative projects across various domains.

## Kin Score — 5.8 / 100 (minimal)

Scored 2026-10-31 under rubric 0.25.0.

| Facet | Score |
|---|---|
| Discoverability | 50.0 |
| Contract Quality | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 0.0 |
| Access Clarity | 10.5 |

Regulatory layer — **Education & Research**: 9.8 (matched via tags).

## 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 |
| Pagination Ratio | na |
| Operation Distinctiveness | na |

## Security (1)

- **Institute Of Communication And Computer Systems Iccs Domain Security** — TLSv1.3

## Tags

Research, Education, Engineering, Innovation, Greece

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