Urban Machine

Urban Machine is a GV-backed robotics company building AI and computer-vision powered machines that remove metal fasteners (nails, staples, and screws) from construction and demolition lumber waste, reclaiming it for premium wood products and circular-economy reuse. The company publishes no public API, but maintains an open-source ROS/Python robotics tooling footprint on GitHub, including the colcon-poetry-ros package on PyPI.

Urban Machine is profiled on the APIs.io network. Tagged areas include Company, Ai, Robotics, Construction, and Wood Reclamation.

Urban Machine’s developer surface includes engineering blog, support, and 6 more developer resources.

🌐 Visit website 📡 Source on GitHub

8.7/100 minimal ▬ flat Agent 4/100 human only Full breakdown ↓
scored 2026-07-27 · rubric v0.5

0 APIs

CompanyAiRoboticsConstructionWood ReclamationCircular EconomyComputer Vision

Kin Score

Kin Score How this is scored →
scored 2026-07-27 · rubric v0.5

Composite quality — 8.7/100 · minimal

Contract Quality 0.0 / 25

Developer Ergonomics 1.3 / 20

Commercial Clarity 0.0 / 20

Operational Transparency 0.7 / 13

Governance 0.0 / 12

Discoverability 6.8 / 10

Agent readiness — 4/100 · 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 4 / 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/urban-machine: open an issue to ask a question, or submit a pull request to add artifacts. Want it done for you? Prioritized profiling — $2,500 →

Agent Surfaces 2

MCP servers, agent skills, and machine-readable catalogs

WellKnown

WellKnown

LLMsTxt

LLMsTxt

Build 2

SDKs, sample code, and the tooling you integrate with

GitHubOrganization

GitHubOrganization

Packages

Packages

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: urban-machine
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://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/urban-machine.png
name: Urban Machine
description: Urban Machine is a GV-backed robotics company building AI and computer-vision powered machines that remove metal
  fasteners (nails, staples, and screws) from construction and demolition lumber waste, reclaiming it for premium wood products
  and circular-economy reuse. The company publishes no public API, but maintains an open-source ROS/Python robotics tooling
  footprint on GitHub, including the colcon-poetry-ros package on PyPI.
url: https://raw.githubusercontent.com/api-evangelist/urban-machine/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- gv
x-tier: stub
x-tier-reason: portfolio-lead
specificationVersion: '0.20'
created: '2026-07-17'
modified: '2026-07-21'
tags:
- Company
- Ai
- Robotics
- Construction
- Wood Reclamation
- Circular Economy
- Computer Vision
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: DomainSecurity
  url: security/urban-machine-domain-security.yml
- type: Website
  url: https://urbanmachine.build
- type: Blog
  url: https://urbanmachine.build/updates
- type: Support
  url: https://urbanmachine.build/contact
- type: GitHubOrganization
  url: https://github.com/UrbanMachine
- type: Packages
  url: packages/urban-machine-packages.yml
- type: WellKnown
  url: well-known/urban-machine-well-known.yml
- type: LLMsTxt
  url: llms/urban-machine-llms.txt
x-enrichment:
  date: '2026-07-21'
  status: enriched
  artifacts_added: 4
  pass: local-v1