# Corrosionradar

**Canonical:** https://apis.io/providers/corrosionradar/  
**Website:** https://corrosionradar.com  
**APIs profiled:** 1

CorrosionRADAR provides an enterprise monitoring and management solution for Corrosion Under Insulation (CUI) targeting oil, gas and petrochemical operators. Their AI‑powered platform combines sensor hardware, data analytics and a cloud service to predict and mitigate hidden corrosion risks, reducing inspection costs by up to 65% and delivering ROI within six months.

## Kin Score — 7.6 / 100 (minimal)

Scored 2026-11-06 under rubric 0.27.0. Trend: flat (-3.5 from 11.1).

| Facet | Score |
|---|---|
| Discoverability | 54.5 |
| Contract Quality | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 10.7 |
| Access Clarity | 5.3 |

Regulatory layer — **Energy & Utilities**: 6.2 (matched via tags).

## 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

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

## APIs (1)

- **CorrosionRadar API** — Provides access to sensor data, analytics and platform features for corrosion monitoring.

## Security (1)

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

## Tags

Company, Oil and Gas, Corrosion, Artificial Intelligence, Monitoring

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