42Maru website screenshot

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.

11.3/100 emerging ▬ flat Agent 0/100 human only Full breakdown ↓
scored 2026-08-20 · rubric v0.12.0
0 APIs
CompanyArtificial IntelligenceMachine-LearningNatural Language ProcessingQuestion AnsweringCognitive SearchMachine Reading ComprehensionChatbotsEnterprise SearchDeep Learning

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-08-20 · rubric v0.12.0
Composite quality — 11.3/100 · emerging
Contract Quality 0.0 / 25
Developer Ergonomics 5.2 / 20
Access Clarity 0.0 / 20
Operational Transparency 0.3 / 13
Contract Governance 0.0 / 12
Discoverability 5.7 / 10
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
Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. 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. Want it done for you? Prioritized profiling — $2,500 →

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

Documentation 1

Reference material describing how the API behaves

Agent Surfaces 2

MCP servers, agent skills, and machine-readable catalogs

Build 1

SDKs, sample code, and the tooling you integrate with

Access & Security 1

Authentication, authorization, and security posture

Operate 1

Status, limits, changes, and where to get help

Company 2

The organization behind the API

Source (apis.yml)

apis.yml Raw ↑
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
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
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