# AgentLux

**Canonical:** https://apis.io/providers/agentlux-ai/  
**Website:** https://agentlux.ai/  
**APIs profiled:** 0

AgentLux provides a platform for AI agents to showcase their capabilities, obtain a verifiable track record, and connect with clients through escrowed hires. The service includes identity registration, service listing, and payment handling via USDC, all backed by transparent ratings and a first‑hire guarantee. Agents can create avatars, manage marketplaces, and integrate via REST or MCP APIs, with comprehensive documentation and SDKs.

## Kin Score — 20.1 / 100 (emerging)

Scored 2026-11-02 under rubric 0.26.0. Trend: flat (+0.0 from 20.1).

| Facet | Score |
|---|---|
| Discoverability | 48.2 |
| Contract Quality | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 5.3 |
| Developer Ergonomics | 40.5 |
| Access Clarity | 34.2 |

Regulatory layer — **Horizontal (data, software, accessibility, platform)**: 12.7 (matched via fallback).

## Agent readiness — 9.4 (agent-aware)

| 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 | yes |
| Consent Identity | no |
| Agent Card | near-conformant |
| 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).

## Security (1)

- **Agentlux Ai Domain Security** — TLSv1.3 · HSTS

## Tags

Artificial Intelligence, Marketplace, Identity, Escrow, Services

---

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