# ControlRooms.ai

**Canonical:** https://apis.io/providers/controlrooms-ai/  
**Website:** https://www.controlrooms.ai/  
**APIs profiled:** 1

ControlRooms.ai provides an agentic troubleshooting system for energy and chemical plant operations. It uses large harmony models to detect anomalies before traditional alarms fire, offering proactive advice, logging, and AI‑drafted shift summaries. The platform integrates with existing DCS, Teams, and mobile apps to help operators mitigate issues early, improving safety and efficiency across refining, fertilizers, petrochemicals, and related sectors.

## Kin Score — 6.5 / 100 (minimal)

Scored 2026-11-06 under rubric 0.27.0. Trend: flat (-3.0 from 9.5).

| Facet | Score |
|---|---|
| Discoverability | 48.2 |
| Contract Quality | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 2.6 |
| Developer Ergonomics | 0.0 |
| Access Clarity | 10.5 |

Regulatory layer — **Horizontal (data, software, accessibility, platform)**: 9.8 (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 |
| MCP Tool Quality | na |

## Access

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

## APIs (1)

- **ControlRooms API** — ControlRooms AI platform API (no public spec discovered).

## Security (1)

- **Controlrooms Ai Domain Security** — TLSv1.3 · HSTS · DMARC

## Tags

Anomaly Detection, Plant Operations, AI Troubleshooting

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