# ARVX

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

arvx-ai is a company surfaced via the API Evangelist harvest backlog (source: mcp-registry) and added to the network as a stub for full-pipeline profiling.

## Kin Score — 47.7 / 100 (developing)

Scored 2026-11-02 under rubric 0.26.0.

| Facet | Score |
|---|---|
| Discoverability | 44.6 |
| Contract Quality | 66.0 |
| Contract Governance | 22.0 |
| Operational Transparency | 10.5 |
| Developer Ergonomics | 42.1 |
| Access Clarity | 52.6 |

Regulatory layer — **Horizontal (data, software, accessibility, platform)**: 40.2 (matched via fallback).

## Agent readiness — 31.3 (agent-ready)

| Dimension | Value |
|---|---|
| Spec Presence | yes |
| Agentic Access | derived |
| Reversibility Documented | no |
| MCP Server | no |
| Auth Clarity | bearer |
| Idempotency | no |
| Error Semantics | verified |
| OpenAPI Examples | no |
| Rate Limit Signal | verified |
| Event Surface Described | no |
| Agent Skills | unknown |
| 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

Paid — onboarding: unknown, pricing: paid, trial: no (confidence: medium).

## APIs (2)

- **ARVX Readings API** — The Readings API from ARVX — 1 operation(s) for readings.
- **ARVX Records API** — The Records API from ARVX — 1 operation(s) for records.

## Agentic access (1)

- **Arvx Ai Agentic Access** — 2 operations · 2 acting

## Security (3)

- **Arvx Ai Authentication** — 2 schemes
- **Arvx Ai Domain Security** — TLSv1.3 · DMARC
- **Arvx Ai Vulnerability Disclosure** — security.txt · contact published

## Plans (1)

- **Arvx Ai Plans Pricing**

## Tags

Company

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