Markov website screenshot

Markov

Markov (Markov Studios) is a San Francisco-based Y Combinator (Summer 2026) startup building data and environments for training computer-use AI. The company captures how people actually use computers - screen recordings with synchronized mouse and keyboard inputs, annotations, and open datasets across real workflows in tools like Salesforce, Blender, and Photoshop, plus gaming data from Valorant, Minecraft, and GTA. Markov sources high-quality tasks and data to train the next generation of computer-use and reinforcement-learning models, releasing much of its work in public on Hugging Face (150k+ dataset downloads). Founded in 2026 by Dev Mandal (CEO) and Harish Ashok, Markov distributes its datasets through Hugging Face rather than a first-party API; this profile currently tracks no public API surface.

Markov is profiled on the APIs.io network. Tagged areas include Company, Artificial Intelligence, Machine Learning, Data, and Computer Use.

🌐 Visit website 📡 Source on GitHub
6.8/100 minimal ▬ flat Agent 0/100 human only Full breakdown ↓
scored 2026-07-28 · rubric v0.5
0 APIs
CompanyArtificial IntelligenceMachine LearningDataComputer UseReinforcement LearningDatasetsTraining Data

Kin Score

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scored 2026-07-28 · rubric v0.5
Composite quality — 6.8/100 · minimal
Contract Quality 0.0 / 25
Developer Ergonomics 0.0 / 20
Commercial Clarity 0.0 / 20
Operational Transparency 0.0 / 13
Governance 0.0 / 12
Discoverability 6.8 / 10
Agent readiness — 0/100 · human only
Machine-Readable Contract 0 / 18
Agentic Access Contract 0 / 15
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
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/markov: 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.

Markov Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Resources

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity
DomainSecurity

Company 1

The organization behind the API

Website
Website

Other 1

Properties that don't map to a standard resource type

HuggingFace
HuggingFace

Source (apis.yml)

apis.yml Raw ↑ 
aid: markov
name: Markov
description: Markov (Markov Studios) is a San Francisco-based Y Combinator (Summer 2026) startup building data and environments
  for training computer-use AI. The company captures how people actually use computers - screen recordings with synchronized
  mouse and keyboard inputs, annotations, and open datasets across real workflows in tools like Salesforce, Blender, and Photoshop,
  plus gaming data from Valorant, Minecraft, and GTA. Markov sources high-quality tasks and data to train the next generation
  of computer-use and reinforcement-learning models, releasing much of its work in public on Hugging Face (150k+ dataset downloads).
  Founded in 2026 by Dev Mandal (CEO) and Harish Ashok, Markov distributes its datasets through Hugging Face rather than a
  first-party API; this profile currently tracks no public API surface.
url: https://raw.githubusercontent.com/api-evangelist/markov/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- y-combinator
x-tier: stub
x-tier-reason: portfolio-lead
x-yc-batch: Summer 2026
x-founded: '2026'
x-hq: San Francisco, CA
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://markovstudios.com/og.png
specificationVersion: '0.20'
created: '2026-07-17'
modified: '2026-07-20'
tags:
- Company
- Artificial Intelligence
- Machine Learning
- Data
- Computer Use
- Reinforcement Learning
- Datasets
- Training Data
apis: []
common:
- type: DomainSecurity
  url: security/markov-domain-security.yml
- type: Website
  url: https://markovstudios.com
- type: HuggingFace
  url: https://huggingface.co/markov-ai
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
x-enrichment:
  date: '2026-07-20'
  status: minimal
  artifacts_added: 1
  pass: local-v1