# NexaScience Inc.

**Canonical:** https://apis.io/providers/arlet-dev/  
**Website:** https://arlet.dev/  
**APIs profiled:** 0

NexaScience Inc. offers Arlet, an AI-powered platform that transforms work information, documents, and meeting notes into concise, source‑referenced videos. Users can instantly tap highlighted content to verify its origin, enabling faster knowledge sharing and decision‑making across organizations. The service runs on web, iOS, and Android, providing a seamless experience for modern teams seeking efficient information consumption.

## Kin Score — 8.2 / 100 (minimal)

Scored 2026-11-06 under rubric 0.27.0. Trend: flat (-2.7 from 10.9).

| Facet | Score |
|---|---|
| Discoverability | 48.3 |
| Contract Quality | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 0.0 |
| Access Clarity | 10.5 |

Regulatory layer — **Horizontal (data, software, accessibility, platform)**: 23.6 (matched via fallback).

## Agent readiness — 27.6 (agent-aware)

| Dimension | Value |
|---|---|
| Spec Presence | no |
| Agentic Access | no |
| Reversibility Documented | no |
| MCP Server | documented |
| Auth Clarity | served |
| Idempotency | no |
| Error Semantics | no |
| OpenAPI Examples | no |
| Rate Limit Signal | documented |
| Event Surface Described | no |
| Agent Skills | no |
| Well Known Catalog | yes |
| Consent Identity | no |
| Agent Card | no |
| Dry Run Mode | no |
| Delegated Identity | served |
| Protected Resource Metadata | verified |
| Dynamic Client Registration | yes |
| Agentic Commerce | no |
| Pagination Ratio | na |
| Operation Distinctiveness | na |
| MCP Tool Quality | na |

## Access

Open access — onboarding: open, pricing: unknown, trial: no (confidence: low).

## MCP servers (1)

- **NexaScience Inc. MCP Server** — Remote MCP server at api.arlet.dev.

## Security (2)

- **Arlet Dev Authentication** — 0 schemes
- **Arlet Dev Domain Security** — TLSv1.3 · DMARC

## Plans (1)

- **Arlet Dev Plans Pricing**

## Tags

Artificial Intelligence, Video, Productivity, Document Automation, Meeting Notes

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