Artificial Labs website screenshot

Artificial Labs

Artificial Labs is a London-based insurance technology company building algorithmic and digital underwriting software for the specialty and reinsurance market, with the Lloyd's of London subscription market as its home ground. Founded and headquartered in the City of London at 1-3 Frederick's Place, and led by co-founders and co-CEOs David King and Johnny Bridges under chairman Martin Reith, the company sells three products to carriers, syndicates, MGAs and wholesale brokers: Smart Underwriting (a configurable lead-and-follow digital underwriting platform with appetite modelling and accept/refer/decline submission triage), Smart Placement (a broker-side placement and distribution platform) and Contract Builder (MRCv3-compliant structured digital contract creation, which powers PPL's integrated Digital Contract Capability). Named customers and partners include Apollo, PPL, BMS Group, Lockton and McGill and Partners, and the firm is an alumnus of the Lloyd's Lab accelerator. Its API posture is partner-gated and matches the London Market pattern: Artificial talks publicly and often about APIs as the connective tissue between broker PAS, carrier systems and its own platform, and describes real quote-and-bind flows in which risk data is pushed to the Artificial platform via API and a written line and rate are returned via API, but it publishes no public self-serve developer portal, no downloadable OpenAPI or Swagger definition, no public Postman collection and no public API host. api.artificial.io and developer.artificial.io do not resolve in DNS. The product documentation site at docs.artificial.io returns HTTP 200 on its landing page only, which states plainly "To view the documentation, you must sign in"; every product and reference path 302-redirects to an Auth0 authorization-code login at auth.artificialos.com, and docs robots.txt is Disallow all. Its GitHub organization, github.com/artificial-labs, exists but has zero public repositories. Where Artificial is genuinely and demonstrably standards-forward is ACORD: it joined the ACORD Solutions Group Licensed Integrator Partner program in October 2023, builds Contract Builder and Smart Placement on a structured data model incorporating MRCv3, ACORD GRLC and the Lloyd's Core Data Record, validates contracts pre-submission against MRCv3 and ACORD standards, and consumes the ACORD Transcriber API for automated data extraction. That is the honest shape of this record: real, working, standards-aligned insurance APIs that are invisible from outside the contractual relationship.

Artificial Labs is profiled on the APIs.io network. Tagged areas include Insurance, United Kingdom, Insurtech, Underwriting, and Reinsurance.

Artificial Labs’ developer surface includes documentation, engineering blog, support, authentication, and 22 more developer resources.

28.6/100 thin ▬ flat Agent 27/100 agent aware Front door AI 1/6 silent Heartbeat 100/100 alive saas Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →
AccessNo public API
0 APIs 1 MCP Servers
InsuranceUnited KingdomInsurtechUnderwritingReinsuranceSpecialty InsuranceLondon MarketLloyd's of LondonBrokeragePolicy AdministrationACORDAlgorithmic Underwriting

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-11-06 · rubric v0.27.0
Regulatory Posture applies to this provider. Its tags matched the Insurance 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/.
Show this score on your site. Kin Score badge preview for Artificial Labs It updates itself when the score changes. Paste this where you link to your API docs:
<a href="https://apis.io/providers/artificial-labs/"><img src="https://apis.io/badge/artificial-labs/card.svg" alt="Artificial Labs on APIs.io — Kin Score by API Evangelist"></a>
Other styles, a README pill and a shields.io endpoint are on the badge page.
Raise your score.
Agent readiness — checks not met, largest first (exact, from this profile):
  • Machine-Readable Contract +18 pts — api_specs includes an OpenAPI document
  • Agentic Access Contract +10 pts — agentic_access artifact present (x-agentic-access), graded by author
  • 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)
  • Stable Error Semantics +8 pts — OpenAPI $refs a shared error schema across 4xx/5xx responses (verified), else common[].type includes ErrorCatalog / ErrorCodes / DeclineCodes
  • A2A Agent Card +8 pts — a2a/-a2a.yml manifest, graded on conformance.grade against A2A 1.0.0
  • Rate-Limit Signaling +7 pts — OpenAPI responses document X-RateLimit-* / RateLimit headers (verified), else a rate_limits artifact or RateLimits link (documented)
8 more unmet checks in the Agent Readiness table above.
Kin Score — facets with the most composite points still available (weight × headroom):
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.
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/artificial-labs/apis.yml: open an issue on github.com/api-evangelist/artificial-labs 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 4

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.

tagged — the provider's own APIs.json carries the standard as a tag; implementation not verified
measured — observed by APIs.io (verified)
measured — observed by APIs.io (verified)
measured — observed by APIs.io (published)

MCP Servers 1

Model Context Protocol servers that expose these APIs to AI agents.

Artificial Labs MCP Server

Remote MCP server at docs.artificial.io over HTTP.

MCP SERVER

Security Posture 4

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

Artificial Labs Authentication

oauth2/openIdConnect · 1 scheme

SECURITY

Artificial Labs Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Artificial Labs Vulnerability Disclosure

Hackerone · contact published

SECURITY

Artificial Labs Trust Center

ISO 27001, Cyber Essentials Plus

SECURITY

Scopes 1

OAuth scopes governing access to this provider's APIs.

Artificial Labs Scopes

14 scopes · authorizationCode/clientCredentials

14 scopes

SCOPES

Resources

Get Started 1

Portal, sign-up, and the first successful call

Documentation 1

Reference material describing how the API behaves

Agent Surfaces 2

MCP servers, agent skills, and machine-readable catalogs

Design & Contract 2

Pagination, idempotency, versioning, errors, and events

Build 2

SDKs, sample code, and the tooling you integrate with

Access & Security 7

Authentication, authorization, and security posture

Scroll for all 7

Operate 2

Status, limits, changes, and where to get help

Commercial 2

Pricing, plans, and the legal terms of use

Company 5

The organization behind the API

Other 2

Properties that don't map to a standard resource type

Source (apis.yml)

apis.yml Raw ↑
aid: artificial-labs
url: https://raw.githubusercontent.com/api-evangelist/artificial-labs/refs/heads/main/apis.yml
x-api-posture: no-product-api
x-api-posture-basis: observed
x-api-posture-note: 'Its API posture is partner-gated and matches the London Market pattern: Artificial talks publicly and
  often about APIs as the connective tissue between broker PAS, carrier systems and its own platform'
name: Artificial Labs
kind: company
description: 'Artificial Labs is a London-based insurance technology company building algorithmic and digital underwriting
  software for the specialty and reinsurance market, with the Lloyd''s of London subscription market as its home ground. Founded
  and headquartered in the City of London at 1-3 Frederick''s Place, and led by co-founders and co-CEOs David King and Johnny
  Bridges under chairman Martin Reith, the company sells three products to carriers, syndicates, MGAs and wholesale brokers:
  Smart Underwriting (a configurable lead-and-follow digital underwriting platform with appetite modelling and accept/refer/decline
  submission triage), Smart Placement (a broker-side placement and distribution platform) and Contract Builder (MRCv3-compliant
  structured digital contract creation, which powers PPL''s integrated Digital Contract Capability). Named customers and partners
  include Apollo, PPL, BMS Group, Lockton and McGill and Partners, and the firm is an alumnus of the Lloyd''s Lab accelerator.
  Its API posture is partner-gated and matches the London Market pattern: Artificial talks publicly and often about APIs as
  the connective tissue between broker PAS, carrier systems and its own platform, and describes real quote-and-bind flows
  in which risk data is pushed to the Artificial platform via API and a written line and rate are returned via API, but it
  publishes no public self-serve developer portal, no downloadable OpenAPI or Swagger definition, no public Postman collection
  and no public API host. api.artificial.io and developer.artificial.io do not resolve in DNS. The product documentation site
  at docs.artificial.io returns HTTP 200 on its landing page only, which states plainly "To view the documentation, you must
  sign in"; every product and reference path 302-redirects to an Auth0 authorization-code login at auth.artificialos.com,
  and docs robots.txt is Disallow all. Its GitHub organization, github.com/artificial-labs, exists but has zero public repositories.
  Where Artificial is genuinely and demonstrably standards-forward is ACORD: it joined the ACORD Solutions Group Licensed
  Integrator Partner program in October 2023, builds Contract Builder and Smart Placement on a structured data model incorporating
  MRCv3, ACORD GRLC and the Lloyd''s Core Data Record, validates contracts pre-submission against MRCv3 and ACORD standards,
  and consumes the ACORD Transcriber API for automated data extraction. That is the honest shape of this record: real, working,
  standards-aligned insurance APIs that are invisible from outside the contractual relationship.'
deliveryModel:
  model: saas
  open_source: false
  commercial: true
  callable_host: false
  label: Hosted service · you call their endpoint
  confidence: medium
  source:
  - pricing
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  gated: private
  gated_source:
  - x-api-posture
  label: Unknown
  confidence: low
  source:
  - authentication
  - scopes
  - security
  generated: '2026-11-06'
  method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/apis-json-logo.jpg
x-docs-platform: mintlify
x-docs-platform-confidence: medium
x-docs-platform-checked: 2026-09-19
tags:
- Insurance
- United Kingdom
- Insurtech
- Underwriting
- Reinsurance
- Specialty Insurance
- London Market
- Lloyd's of London
- Brokerage
- Policy Administration
- ACORD
- Algorithmic Underwriting
tags_raw:
- Insurance
- United Kingdom
- Insurtech
- Underwriting
- Reinsurance
- Specialty Insurance
- London Market
- Lloyd's of London
- Broker
- Policy Administration
- ACORD
- Algorithmic Underwriting
- Brokers
created: '2026-07-25'
modified: '2026-07-25'
specificationVersion: '0.23'
apis: []
common:
- type: Website
  url: https://artificial.io/
- type: Documentation
  url: https://docs.artificial.io/docs-site/
- type: About
  url: https://artificial.io/about/
- type: Blog
  url: https://artificial.io/company/blog/
- type: Contact
  url: https://artificial.io/contact/
- type: Support
  url: https://artificial.io/contact/
- type: Login
  url: https://docs.artificial.io/oauth2/start
- type: Security
  url: https://artificial.io/security/
- type: Compliance
  url: https://trust.artificial.io/
- type: TrustCenter
  url: security/artificial-labs-trust-center.yml
- type: TermsOfService
  url: https://artificial.io/website-terms/
- type: EULA
  url: https://artificial.io/eula/
- type: PrivacyPolicy
  url: https://artificial.io/privacy/
- type: Careers
  url: https://artificial.io/careers/
- type: GitHubOrganization
  url: https://github.com/artificial-labs
- type: LinkedIn
  url: https://www.linkedin.com/company/artificial-labs
- type: OpenIDConnect
  url: https://auth.artificialos.com/.well-known/openid-configuration
- type: Authentication
  url: authentication/artificial-labs-authentication.yml
- type: OAuthScopes
  url: scopes/artificial-labs-scopes.yml
- type: WellKnown
  url: well-known/artificial-labs-well-known.yml
- type: Conformance
  url: conformance/artificial-labs-conformance.yml
- type: DomainSecurity
  url: security/artificial-labs-domain-security.yml
- type: VulnerabilityDisclosure
  url: security/artificial-labs-vulnerability-disclosure.yml
- type: Lifecycle
  url: lifecycle/artificial-labs-lifecycle.yml
- type: Packages
  url: packages/artificial-labs-packages.yml
- type: LLMsTxt
  url: llms/artificial-labs-llms.txt
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com

Artificial Labs API — frequently asked questions

How do I authenticate with the Artificial Labs API?

Artificial Labs documents its authentication (oauth2/openIdConnect · 1 scheme). The details are profiled on APIs.io as Artificial Labs Authentication.

Does Artificial Labs have an MCP server?

Yes. APIs.io lists 1 MCP server for Artificial Labs: Remote MCP server at docs.artificial.io over HTTP.

Is the Artificial Labs API ready for AI agents?

Artificial Labs has a Kin Score of 28.6 out of 100 (thin) and an Agent Readiness score of 27.3 (agent-aware), scored by API Evangelist on 2026-11-06.

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