# Artificiallabs

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

Artificiallabs is an AI‑powered coding platform that automates software development. It provides an autonomous AI engineer named Lloyd that writes, runs, tests, and validates code in real cloud VMs, delivering live proof of functionality. Users interact via a chat‑like interface to describe features, bugs, or refactors, and watch the AI build and verify the solution, with support for web‑based IDE, LLM Lab, and integration tools.

## Kin Score — 16.9 / 100 (emerging)

Scored 2026-10-23 under rubric 0.25.0. Trend: flat (+0.0 from 16.9).

| Facet | Score |
|---|---|
| Discoverability | 53.6 |
| Contract Quality | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 23.8 |
| Access Clarity | 31.6 |

Regulatory layer — **Horizontal (data, software, accessibility, platform)**: 18.2 (matched via fallback).

## Agent readiness — 15.1 (agent-aware)

| Dimension | Value |
|---|---|
| Spec Presence | no |
| Agentic Access | no |
| Reversibility Documented | no |
| MCP Server | no |
| Auth Clarity | served |
| 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 | served |
| Protected Resource Metadata | no |
| Dynamic Client Registration | yes |
| Agentic Commerce | no |
| Pagination Ratio | na |
| Operation Distinctiveness | na |

## APIs (1)

- **Artificial Labs API** — Artificial Labs provides an AI coding platform with autonomous agents.

## Security (1)

- **Artificiallabs Domain Security** — TLSv1.3 · DMARC

## Tags

Artificial Intelligence, Coding Platform, Automation, Developer Tools, Software-as-a-Service

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