42Maru

42Maru is a South Korean AI deep-tech company building a Deep Semantic TA (Text Analytics) and QA (Question Answering) platform that understands the true intent behind a user's question and returns a single answer drawn from large sets of unstructured documents. Its cognitive-search stack pairs document retrieval with Machine Reading Comprehension (MRC) and is delivered as enterprise chatbots (CHAT42), question-answering engines (QA42), natural-language processing (NL42), and the Platform42 SaaS. 42Maru ranked #1 on Stanford's SQuAD 2.0 machine-reading benchmark, won an AWS AI Challenge award, and is a Techstars London alumnus. It was added to the API Evangelist network from the Techstars portfolio and enriched from its public marketing site, GitHub organizations, and gitbook documentation; no public REST API, OpenAPI, first-party SDK, or /.well-known discovery surface was found — Platform42 API access appears to be provisioned per enterprise customer.

42Maru is profiled on the APIs.io network. Tagged areas include Company, Artificial Intelligence, Machine Learning, Natural Language Processing, and Question Answering.

42Maru’s developer surface includes documentation, engineering blog, support, and 6 more developer resources.

🌐 Visit website 📡 Source on GitHub

9.6/100 minimal ▬ flat Agent 0/100 human only Front door AI 6/6 dominant Full breakdown ↓
scored 2026-09-25 · rubric v0.23.0

0 APIs

Company Artificial Intelligence Machine Learning Natural Language Processing Question Answering Cognitive SearchMachine Reading ComprehensionChatbots Enterprise Search Deep Learning

Kin Score

Kin Score How this is scored →
scored 2026-09-25 · rubric v0.23.0

Composite quality — 9.6/100 · minimal

Contract Quality 0.0 / 21

Developer Ergonomics 4.5 / 17

Access Clarity 0.0 / 17

Operational Transparency 0.3 / 11

Contract Governance 0.0 / 10

Discoverability 4.7 / 9

Regulatory Posture 0.8 / 15

Agent readiness — 0/100 · human only

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 0 / 12

Machine-Readable Auth 0 / 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 0 / 6

Protected Resource Metadata 0 / 5

Registration Without a Human 0 / 6

Agentic Commerce Well-Known Document 0 / 5

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/.

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 github.com/api-evangelist/42maru: open an issue to ask a question, or submit a pull request to add artifacts. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

Security Posture 1

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

42Maru Domain Security

TLSv1.3 · DMARC

SECURITY

Resources

Get Started 1

Portal, sign-up, and the first successful call

DeveloperPortal

DeveloperPortal

Documentation 1

Reference material describing how the API behaves

Documentation

Documentation

Agent Surfaces 2

MCP servers, agent skills, and machine-readable catalogs

WellKnown

WellKnown

LLMsTxt

LLMsTxt

Build 1

SDKs, sample code, and the tooling you integrate with

GitHubOrganization

GitHubOrganization

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Operate 1

Status, limits, changes, and where to get help

Support

Support

Company 2

The organization behind the API

Website

Website

Blog

Blog

Source (apis.yml)

aid: 42maru
name: 42Maru
description: '42Maru is a South Korean AI deep-tech company building a Deep Semantic TA (Text Analytics) and QA (Question
  Answering) platform that understands the true intent behind a user''s question and returns a single answer drawn from large
  sets of unstructured documents. Its cognitive-search stack pairs document retrieval with Machine Reading Comprehension (MRC)
  and is delivered as enterprise chatbots (CHAT42), question-answering engines (QA42), natural-language processing (NL42),
  and the Platform42 SaaS. 42Maru ranked #1 on Stanford''s SQuAD 2.0 machine-reading benchmark, won an AWS AI Challenge award,
  and is a Techstars London alumnus. It was added to the API Evangelist network from the Techstars portfolio and enriched
  from its public marketing site, GitHub organizations, and gitbook documentation; no public REST API, OpenAPI, first-party
  SDK, or /.well-known discovery surface was found — Platform42 API access appears to be provisioned per enterprise customer.'
url: https://raw.githubusercontent.com/api-evangelist/42maru/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- techstars
x-tier: stub
x-tier-reason: portfolio-lead
deliveryModel:
  model: unknown
  open_source: false
  commercial: false
  callable_host: false
  label: Delivery model not determined — needs a product licence on record
  confidence: low
  source:
  - none
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source: []
  generated: '2026-07-22'
  method: derived
image: https://42maru.ai/media/images/42MARU_pabikon.2e16d0ba.fill-64x64.png
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-17'
tags:
- Company
- Artificial Intelligence
- Machine Learning
- Natural Language Processing
- Question Answering
- Cognitive Search
- Machine Reading Comprehension
- Chatbots
- Enterprise Search
- Deep Learning
tags_raw:
- Company
- Artificial Intelligence
- Machine Learning
- Natural Language Processing
- Question Answering
- Cognitive Search
- Machine Reading Comprehension
- Chatbot
- Enterprise Search
- Deep Learning
- Machine-Learning
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Website
  url: https://42maru.ai/
- type: DeveloperPortal
  url: https://github.com/42maru/saas-eng-gitbook
- type: Documentation
  url: https://github.com/42maru/saas-eng-gitbook
- type: Blog
  url: https://www.42maru.ai/en/blog/
- type: Support
  url: https://www.42maru.ai/en/contact/
- type: GitHubOrganization
  url: https://github.com/42maru
- type: DomainSecurity
  url: security/42maru-domain-security.yml
- type: WellKnown
  url: well-known/42maru-well-known.yml
- type: LLMsTxt
  url: llms/42maru-llms.txt
x-enrichment:
  date: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence

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