Artificiallabs

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.

Artificiallabs is listed with 1 API on the APIs.io network. Tagged areas include Artificial Intelligence, Coding Platform, Automation, Developer Tools, and Software-as-a-Service.

Artificiallabs’ developer surface includes engineering blog, documentation, getting-started guide, pricing, and 12 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

17.8/100 emerging ▲ 6.8 Agent 15/100 agent aware Full breakdown ↓
scored 2026-11-13 · rubric v0.28.0 · Show this score on your site →

1 API

Artificial IntelligenceCoding PlatformAutomation Developer Tools Software-as-a-Service

Kin Score

Kin Score How this is scored →
scored 2026-11-13 · rubric v0.28.0

Composite quality — 17.8/100 · emerging

Contract Quality 0.0 / 21

Developer Ergonomics 4.0 / 17

Access Clarity 6.9 / 17

Operational Transparency 0.0 / 11

Contract Governance 0.0 / 10

Discoverability 4.6 / 9

Regulatory Posture 1.9 / 15

Agent readiness — 15/100 · agent aware

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 0 / 12

Machine-Readable Auth 10 / 10

Idempotency 0 / 9

Stable Error Semantics 0 / 8

Request/Response Examples 0 / 7

Rate-Limit Signaling 0 / 7

Typed Event Surface 0 / 6

Agent Skills 0 / 5

Well-Known Catalog 0 / 4

Consent & Bot Identity 0 / 3

A2A Agent Card 0 / 8

Dry-Run / Simulate Mode 0 / 4

Delegated User Identity 6 / 6

Protected Resource Metadata 0 / 5

Registration Without a Human 6 / 6

Agentic Commerce Well-Known Document 0 / 5

Pagination 5 / 5

Distinct Operations 3 / 3

MCP Tool Quality 6 / 6

Regulatory Posture applies to this provider. Its tags matched the Horizontal (data, software, accessibility, platform) regime, so Regulatory Posture carries 15 points of the composite. If this regime is wrong for your business, say so on your provider repo — the applicability map is public and we will correct it.

Create-or-Update Ergonomics could not be measured. We hold no machine-readable contract for this provider to read, so there is nothing to measure a write surface against. Excluded rather than scored zero: never-measured and measured-empty are different facts. Publishing an OpenAPI is what makes this facet — and several others — scorable at all.

The six quality facets above are damped to 85 points between them, because the conditional facet above carries the other 15. That is why each facet's contribution is shown against a damped maximum: raising a quality facet moves the composite by 85% of its nominal weight, not 100%. The full arithmetic is at apis.io/rating/.

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Agent readiness — checks not met, largest first (exact, from this profile):

Machine-Readable Contract +18 pts — api_specs includes an OpenAPI document Ask about this →
MCP Server +12 pts — deployment.mode + probe verdict on the mcp/ manifest, not the pointer; an unprobed slug falls back to authorship Ask about this →
Agentic Access Contract +10 pts — agentic_access artifact present (x-agentic-access), graded by author Ask about this →
Idempotency +9 pts — OpenAPI mutating operations declare an idempotency key — a header, a request-body property, or a named de-duplication token whose own description says so (verified); else common[].type matches /idempoten/i (documented) Ask about this →
Stable Error Semantics +8 pts — OpenAPI $refs a shared error schema across 4xx/5xx responses (verified), else common[].type includes ErrorCatalog / ErrorCodes / DeclineCodes Ask about this →
A2A Agent Card +8 pts — a2a/-a2a.yml manifest, graded on conformance.grade against A2A 1.0.0 Ask about this →

10 more unmet checks in the Agent Readiness table above.

Kin Score — facets with the most composite points still available (weight × headroom):

Contract Quality scores 0.0 — up to +25.0 composite points Ask about this →
Developer Ergonomics scores 23.8 — up to +15.2 composite points Ask about this →
Operational Transparency scores 0.0 — up to +13.0 composite points Ask about this →

Each check links to what satisfies it. Publish the artifact, or tell us where it already lives, and the score moves on the next scoring run.

Not sure how this applies to your stack? Ask about any one item. Kin Lane reads every question, looks at your profile and your situation, and replies with what a fix would take — scoped to that one area, priced up front, yours whether you ship it or not. Ask a question →

Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. Every facet and dimension name above is a link: it opens that measurement's own page — what it means, the exact checks that feed it, how the whole catalog distributes on it, and the providers at the top of it. This rating is computed from the provider profile at artifacts.apis.io/artificiallabs/apis.yml: open an issue on github.com/api-evangelist/artificiallabs to ask a question or point us at an artifact you publish. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

Standards implemented 1

Standards this provider implements or carries. De facto ones are profiled and measured by the API Commons; formal ones come from the standards directory and are linked by the provider's own tags. The evidence column says how each claim was established — not that it was made.

Dynamic Client Registration

measured — observed by APIs.io (published)

APIs 1

Individual APIs this provider publishes, each with its own machine-readable definition.

Artificial Labs API

Artificial Labs provides an AI coding platform with autonomous agents.

Terms of Service 1

What its API terms permit and prohibit, quoted from its own page.

Artificiallabs

9 quoted statements, read from Artificiallabs's own page on 2026-11-09.

TERMS

Privacy & Data 1

Its role, the data it processes, retention and transfers, quoted from its own privacy page.

Artificiallabs

12 quoted statements, read from Artificiallabs's own page on 2026-11-09.

PRIVACY

Eligibility 1

Who may sign up and where, quoted from its own terms.

Artificiallabs

1 quoted statement, read from Artificiallabs's own page on 2026-11-09.

ELIGIBILITY

AI Preferences 1

Its stance on AI training, inference and agents, quoted from its own pages.

Artificiallabs

1 quoted statement, read from Artificiallabs's own page on 2026-11-09.

AI PREFS

Data License 1

How its data and outputs may be reused, quoted from its own terms.

Artificiallabs

1 quoted statement, read from Artificiallabs's own page on 2026-11-09.

LICENSE

Security Posture 1

Authentication, domain security, vulnerability disclosure, and trust-center signals.

Artificiallabs Domain Security

TLSv1.3 · DMARC

SECURITY

Resources

Get Started 1

Portal, sign-up, and the first successful call

GettingStarted

GettingStarted

Documentation 2

Reference material describing how the API behaves

Documentation

Documentation

AIPreferences

AIPreferences

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

WellKnown

WellKnown

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Commercial 5

Pricing, plans, and the legal terms of use

Pricing

TermsOfService

PrivacyPolicy

UsageTerms

DataLicense

Company 2

The organization behind the API

Blog

Blog

Website

Website

Other 4

Properties that don't map to a standard resource type

Hosts

Vendors

DataProcessing

Eligibility

Source (apis.yml)

aid: artificiallabs
name: Artificiallabs
description: 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.
url: https://raw.githubusercontent.com/api-evangelist/artificiallabs/refs/heads/main/apis.yml
x-type: company
x-source: harvest:secondary-market
x-tier: profiled
x-tier-reason: enrichment pass 2026-09-26 (modular-v1; was harvest)
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  probe_state: unreadable
  source:
  - security
  generated: '2026-11-13'
  method: derived
specificationVersion: '0.20'
created: '2026-09-26'
modified: '2026-10-06'
tags:
- Artificial Intelligence
- Coding Platform
- Automation
- Developer Tools
- Software-as-a-Service
tags_raw:
- AI
- Coding Platform
- Automation
- Developer Tools
- SaaS
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- url: https://www.artificiallabs.ai/news/
  type: Blog
- type: WellKnown
  url: well-known/artificiallabs-well-known.yml
- type: Hosts
  url: hosts/artificiallabs-hosts.yml
- type: Vendors
  url: vendors/artificiallabs-vendors.yml
- type: DomainSecurity
  url: security/artificiallabs-domain-security.yml
- type: Website
  url: https://www.artificiallabs.ai
- type: Documentation
  url: https://www.artificiallabs.ai/help
- type: GettingStarted
  url: https://www.artificiallabs.ai/help
- type: Pricing
  url: https://www.artificiallabs.ai/pricing
- type: TermsOfService
  url: https://www.artificiallabs.ai/terms
- type: PrivacyPolicy
  url: https://www.artificiallabs.ai/privacy
- type: UsageTerms
  url: terms/artificiallabs-terms-of-service.yml
- type: DataProcessing
  url: privacy/artificiallabs-privacy-policy.yml
- type: Eligibility
  url: eligibility/artificiallabs-eligibility.yml
- type: AIPreferences
  url: ai-preferences/artificiallabs-ai-preferences.yml
- type: DataLicense
  url: data-license/artificiallabs-data-license.yml
apis:
- name: Artificial Labs API
  description: Artificial Labs provides an AI coding platform with autonomous agents.
  humanURL: https://www.artificiallabs.ai/help/
  baseURL: null
  aid: artificiallabs:artificial-labs-api
x-coverage:
  state: unreadable
  reason: js-rendered-docs
  detail: OpenAPI endpoint returns HTML marketing page instead of a machine‑readable spec.
  evidence:
  - url: https://www.artificiallabs.ai/openapi.json
    status: 200
  checked: 2026-09-26
x-enrichment:
  date: '2026-09-26'
  status: enriched
  artifacts_added: 7
  pass: modular-v1
  engine: identity=local,contract=local,surfaces=local,docs=local

Artificiallabs API — frequently asked questions

Does Artificiallabs have an API?

Yes. APIs.io lists 1 API from Artificiallabs, including Artificial Labs API.

Is the Artificiallabs API ready for AI agents?

Artificiallabs has a Kin Score of 17.8 out of 100 (emerging) and an Agent Readiness score of 15.1 (agent-aware), scored by API Evangelist on 2026-11-13.

Work with this as data

Every provider here is available over the APIs.io API and to AI agents over MCP.

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get_provider_operationsEvery operation across all of their OpenAPIs — one call instead of parsing every spec.
get_provider_toolsEvery MCP tool they ship, with the operation each wraps.
get_provider_evidenceHow each part of their score was established. Free — the basis for a claim should not sit behind it.
get_provider_ratingPRO — composite, band, trend and facet scores.
apis_io_searchSTART HERE — APIs, providers and tags for one query, each with its total.
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