Automat

Automat builds AI agents that operate computers the way people do, replacing legacy RPA tools like UiPath, Automation Anywhere, and Blue Prism with intelligent, self-healing managed automations. Founded in 2022 by ex-Google engineers, the platform combines UI-based AI agents (RPA using Computer Use), AI document extraction (IDP with vision language models), and API-based automations (iPaaS) into unified workflows delivered as a managed service. Automat exposes a REST Extract API (studio.runautomat.com) for pulling structured data from PDFs, images, and other documents against a configured extractor, plus a hosted MCP server for AI client integration. Used across banking, mortgage and lending, insurance, manufacturing, healthcare, and e-commerce operations, with SOC 2, GDPR, HIPAA, and ISO 27001 certification.

Automat publishes 1 API on the APIs.io network: extract API. Tagged areas include Company, Enterprise Saas, Automation, RPA, and Robotic Process Automation.

Automat’s developer surface includes documentation, getting-started guide, API reference, engineering blog, support, authentication, and 11 more developer resources.

🌐 Visit website 📡 Source on GitHub

35.3/100 thin ▬ flat Agent 27/100 agent aware saas Full breakdown ↓
scored 2026-09-08 · rubric v0.20.0

1 APIs 1 MCP Servers

Company Enterprise Saas Automation RPA Robotic Process Automation Document Extraction IDP iPaaS AI Agents Computer Use Document Processing

Kin Score

Kin Score How this is scored →
scored 2026-09-08 · rubric v0.20.0

Composite quality — 35.3/100 · thin

Contract Quality 11.8 / 23

Developer Ergonomics 10.0 / 18

Access Clarity 1.9 / 18

Operational Transparency 0.0 / 12

Contract Governance 2.0 / 11

Discoverability 6.8 / 9

Create-or-Update Ergonomics 0.0 / 10

Agent readiness — 27/100 · agent aware

Machine-Readable Contract 18 / 18

Agentic Access Contract 10 / 10

Documented Reversibility 0 / 6

MCP Server 12 / 12

Machine-Readable Auth 10 / 10

Idempotency 0 / 9

Stable Error Semantics 8 / 8

Request/Response Examples 0 / 7

Rate-Limit Signaling 0 / 7

Typed Event Surface 0 / 6

Agent Skills 5 / 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

Create-or-Update Ergonomics applies to this provider. This API accepts writes, so it carries 10 points of the composite. It is scored from the published contracts themselves: whether a caller can create-or-update in one call, whether the write accepts a key the caller already holds, and whether the response says which branch ran. Without that, every write needs a search-and-branch in front of it, and the first time that check is skipped a duplicate record is created. Scored against the observed mean rather than raw — a provider at the catalog average is unchanged by this facet, not penalised by it.

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/automat: 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 →

APIs 1

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

Automat extract API

The extract API from Automat — 1 operation(s) for extract.

Open Collections 2

Open, tool-agnostic API collections (OpenAPI-derived and Bruno).

API Collection

OPEN COLLECTION

extract API

OPEN COLLECTION

MCP Servers 1

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

Automat MCP Server

Hosted MCP server published by Automat for AI client integration (Claude Code, Cursor, and other MCP clients). Advertised in the Automat documentation and llms.txt. Exposes the ...

MCP SERVER

Security Posture 3

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

Automat Authentication

http · 1 scheme

SECURITY

Automat Domain Security

TLSv1.3 · HSTS · DNSSEC · DMARC

SECURITY

Automat Trust Center

SOC 2, ISO 27001, HIPAA, GDPR

SECURITY

Agentic Access 1

Recommended x-agentic-access execution contracts for AI agents.

Automat Agentic Access

1 operation · 1 acting

1 operations · 1 acting

AGENTIC

Resources

Get Started 2

Portal, sign-up, and the first successful call

DeveloperPortal

DeveloperPortal

GettingStarted

GettingStarted

Documentation 2

Reference material describing how the API behaves

Documentation

Documentation

APIReference

APIReference

Agent Surfaces 3

MCP servers, agent skills, and machine-readable catalogs

MCPServer

MCPServer

LLMsTxt

LLMsTxt

AgentSkill

AgentSkill

Design & Contract 1

Pagination, idempotency, versioning, errors, and events

Conformance

Conformance

Access & Security 4

Authentication, authorization, and security posture

TrustCenter

Compliance

Authentication

DomainSecurity

Operate 1

Status, limits, changes, and where to get help

Support

Support

Commercial 1

Pricing, plans, and the legal terms of use

TermsOfService

TermsOfService

Company 2

The organization behind the API

Website

Website

Blog

Blog

Other 1

Properties that don't map to a standard resource type

Overlay

Overlay

Source (apis.yml)

aid: automat
name: Automat
description: Automat builds AI agents that operate computers the way people do, replacing legacy RPA tools like UiPath, Automation
  Anywhere, and Blue Prism with intelligent, self-healing managed automations. Founded in 2022 by ex-Google engineers, the
  platform combines UI-based AI agents (RPA using Computer Use), AI document extraction (IDP with vision language models),
  and API-based automations (iPaaS) into unified workflows delivered as a managed service. Automat exposes a REST Extract
  API (studio.runautomat.com) for pulling structured data from PDFs, images, and other documents against a configured extractor,
  plus a hosted MCP server for AI client integration. Used across banking, mortgage and lending, insurance, manufacturing,
  healthcare, and e-commerce operations, with SOC 2, GDPR, HIPAA, and ISO 27001 certification.
url: https://raw.githubusercontent.com/api-evangelist/automat/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- initialized-capital
x-tier: enriched
x-tier-reason: portfolio-lead-enriched
deliveryModel:
  model: saas
  open_source: false
  commercial: true
  callable_host: true
  label: Hosted service · you call their endpoint
  confidence: high
  source:
  - openapi
  - pricing
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source:
  - authentication
  - security
  generated: '2026-09-03'
  method: derived
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-18'
image: https://cdn.prod.website-files.com/690942210854e5c7d0b74b4e/690fc6fc0297c12536ccca4b_ab7962bb06ce21cd863411aefecd6599_Frame%20427322741.png
tags:
- Company
- Enterprise Saas
- Automation
- RPA
- Robotic Process Automation
- Document Extraction
- IDP
- iPaaS
- AI Agents
- Computer Use
- Document Processing
apis:
- aid: automat:automat-extract-api
  name: Automat extract API
  description: The extract API from Automat — 1 operation(s) for extract.
  humanURL: https://docs.runautomat.com/api-reference
  baseURL: https://studio.runautomat.com
  tags:
  - Extract
  tags_raw:
  - extract
  properties:
  - type: OpenAPI
    url: openapi/automat-extract-api-openapi.yml
  - type: APIReference
    url: https://docs.runautomat.com/api-reference
  - type: Authentication
    url: authentication/automat-authentication.yml
  - type: ErrorCatalog
    url: errors/automat-problem-types.yml
  - type: Conventions
    url: conventions/automat-conventions.yml
  - type: DataModel
    url: data-model/automat-data-model.yml
  - type: AgenticAccess
    url: agentic-access/automat-agentic-access.yml
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Overlay
  url: overlays/automat-extract-overlay.yaml
- type: Website
  url: https://www.runautomat.com/
- type: DeveloperPortal
  url: https://docs.runautomat.com/
- type: Documentation
  url: https://docs.runautomat.com/
- type: GettingStarted
  url: https://docs.runautomat.com/guides/getting-started/introduction
- type: APIReference
  url: https://docs.runautomat.com/api-reference
- type: MCPServer
  url: mcp/automat-mcp.yml
- type: Blog
  url: https://www.runautomat.com/blog
- type: Support
  url: https://www.runautomat.com/contact
- type: TermsOfService
  url: https://www.runautomat.com/terms-of-service
- type: TrustCenter
  url: https://trust.runautomat.com/
- type: Compliance
  url: https://trust.runautomat.com/
- type: LLMsTxt
  url: llms/automat-llms.txt
- type: Authentication
  url: authentication/automat-authentication.yml
- type: DomainSecurity
  url: security/automat-domain-security.yml
- type: Conformance
  url: conformance/automat-conformance.yml
- type: AgentSkill
  url: skills/_index.yml
x-enrichment:
  date: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence

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MCP server

One button, every client — Claude, Cursor, VS Code and the rest.

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