Madrone

Madrone is a data center cooling technology company (Y Combinator Spring 2026, NVIDIA Inception) building modular thermodynamic cooling systems that sit outside the data center and chill water to the dew point, eliminating the need for mechanical chillers and cooling towers. The company claims roughly 30% less power and water than a conventional chiller-plus-cooling-tower setup in Texas installations, freeing that power and capital for additional GPU compute. It is an early-stage hardware and infrastructure company with a sales-and-partnerships motion; as of this profiling it publishes no public API, developer portal, SDKs, documentation, or other machine-readable developer surface.

Madrone is profiled on the APIs.io network. Tagged areas include Company, Data-Center, Cooling, Infrastructure, and Energy Efficiency.

🌐 Visit website 📡 Source on GitHub
2.1/100 minimal ▬ flat Agent 0/100 human only Full breakdown ↓
scored 2026-09-08 · rubric v0.20.0
0 APIs
CompanyData-CenterCoolingInfrastructureEnergy EfficiencyHardwareThermal Management

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-09-08 · rubric v0.20.0
Composite quality — 2.1/100 · minimal
Contract Quality 0.0 / 21
Developer Ergonomics 0.0 / 17
Access Clarity 0.0 / 17
Operational Transparency 0.0 / 11
Contract Governance 0.0 / 10
Discoverability 4.3 / 9
Regulatory Posture 0.0 / 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 Energy & Utilities 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/madrone: 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 →

Resources

Company 1

The organization behind the API

Website
Website

Source (apis.yml)

apis.yml Raw ↑ 
aid: madrone
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://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/madrone.png
name: Madrone
description: Madrone is a data center cooling technology company (Y Combinator Spring 2026, NVIDIA Inception) building modular
  thermodynamic cooling systems that sit outside the data center and chill water to the dew point, eliminating the need for
  mechanical chillers and cooling towers. The company claims roughly 30% less power and water than a conventional chiller-plus-cooling-tower
  setup in Texas installations, freeing that power and capital for additional GPU compute. It is an early-stage hardware and
  infrastructure company with a sales-and-partnerships motion; as of this profiling it publishes no public API, developer
  portal, SDKs, documentation, or other machine-readable developer surface.
url: https://raw.githubusercontent.com/api-evangelist/madrone/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- y-combinator
- nvidia-inception
x-tier: stub
x-tier-reason: portfolio-lead
x-industry: data-center-cooling
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-20'
tags:
- Company
- Data-Center
- Cooling
- Infrastructure
- Energy Efficiency
- Hardware
- Thermal Management
tags_raw:
- Company
- Data Center
- Cooling
- Infrastructure
- Energy Efficiency
- Hardware
- Thermal Management
apis: []
common:
- type: Website
  url: https://madrone.cool/
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
x-enrichment:
  date: '2026-07-20'
  status: nochange
  artifacts_added: 0
  pass: local-v1

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