# Hyper Nexus

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

Hyper Nexus (北京超级联接科技有限公司) provides industrial LTE and 5G RedCap modems, mmWave radar health monitoring, and AI messenger solutions. Their products include MF833V, Dongle 400, F40, HN‑X1 radar and Hala messenger, serving over 1.4M devices in 60+ countries with global certifications and custom firmware.

## Kin Score — 9.1 / 100 (minimal)

Scored 2026-11-06 under rubric 0.27.0. Trend: flat (-4.9 from 14.0).

| Facet | Score |
|---|---|
| Discoverability | 56.7 |
| Contract Quality | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 17.9 |
| Access Clarity | 5.3 |

Regulatory layer — **Horizontal (data, software, accessibility, platform)**: 7.3 (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 |
| Pagination Ratio | na |
| Operation Distinctiveness | na |
| MCP Tool Quality | na |

## Access

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

## APIs (1)

- **Hyper Nexus** — Industrial LTE & 5G RedCap Modems, 1.4M+ Deployed

## MCP servers (1)

- **Hyper Nexus MCP Server** — Remote MCP server at www.aiotrf.com.

## Security (1)

- **Aiotrf Com Domain Security** — TLSv1.3 · HSTS · DMARC

## Tags

IoT, Connectivity, Modems, Radar, Artificial Intelligence

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