# Cortec

**Canonical:** https://apis.io/providers/cortec/  
**Website:** https://www.cortecvci.com  
**APIs profiled:** 0

Cortec Corporation provides advanced corrosion inhibition technologies, including VpCI® and MCI® solutions for packaging, metalworking, construction, electronics, oil & gas, and many other industries. Founded in 1977, Cortex has grown to a global leader with over 400 products and 60+ patents, offering environmentally responsible, cost‑effective corrosion control. The company operates worldwide, serving customers with R&D, ISO‑accredited labs, and extensive technical support.

## Kin Score — 4.3 / 100 (minimal)

Scored 2026-11-06 under rubric 0.27.0. Trend: flat (+0.0 from 4.3).

| Facet | Score |
|---|---|
| Discoverability | 48.2 |
| 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)**: 11.8 (matched via fallback).

## Agent readiness — 14.4 (agent-aware)

| Dimension | Value |
|---|---|
| Spec Presence | no |
| Agentic Access | no |
| Reversibility Documented | no |
| MCP Server | no |
| Auth Clarity | served |
| 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 | served |
| Protected Resource Metadata | verified |
| Dynamic Client Registration | no |
| Agentic Commerce | no |
| Pagination Ratio | na |
| Operation Distinctiveness | na |
| MCP Tool Quality | na |

## Access

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

## Security (1)

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

## Tags

Company, Corrosion, Chemicals, Manufacturing, VpCI, MCI

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