Extropic

Extropic is a hardware company building thermodynamic (probabilistic) computing systems designed to run generative AI workloads at dramatically lower energy cost than GPUs. Its core hardware is the Thermodynamic Sampling Unit (TSU) — an inherently probabilistic chip whose physics natively performs the sampling that probabilistic AI algorithms depend on — together with the XTR-0 prototype platform for low-latency communication between Extropic chips and traditional processors. Extropic also develops THRML, an open-source JAX library for building and sampling probabilistic graphical models (block Gibbs sampling and energy-based models), which serves as a simulator and prototyping surface for the block-sampling programs that will one day run on TSU hardware. Extropic is not an API provider: it ships no REST/GraphQL API, developer portal, or hosted service — its public developer surface is the THRML Python library, its documentation, and an agent skill. Backed by Kindred Ventures; surfaced to the API Evangelist network as an AI-hardware portfolio company.

Extropic is profiled on the APIs.io network. Tagged areas include Company, Artificial Intelligence, Hardware, Semiconductors, and Thermodynamic Computing.

Extropic’s developer surface includes documentation, API reference, getting-started guide, engineering blog, and 14 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

20.3/100 emerging ▬ flat Agent 4/100 human only Front door AI 3/6 light Heartbeat 82/100 alive open core · Apache-2.0 Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

0 APIs 1 Agent Skills

Company Artificial Intelligence Hardware SemiconductorsThermodynamic ComputingProbabilistic ComputingEnergy-Based ModelsMachine Learning Open Source

Kin Score

Kin Score How this is scored →
scored 2026-11-06 · rubric v0.27.0

Composite quality — 20.3/100 · emerging

Contract Quality 0.0 / 19

Developer Ergonomics 3.9 / 15

Access Clarity 3.2 / 15

Operational Transparency 1.8 / 10

Contract Governance 0.0 / 9

Discoverability 4.2 / 8

Regulatory Posture 1.6 / 15

Open Source Surface 5.0 / 10

Agent readiness — 4/100 · 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 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

Pagination 5 / 5

Distinct Operations 3 / 3

MCP Tool Quality 6 / 6

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.

Open Source Surface applies to this provider. This product is open source and we read its repository directly, so Open Source Surface carries 10 points of the composite. It is scored from what the repository actually publishes — a security policy, a contribution guide, a release history, a code of conduct — read live from the provider rather than inferred from our own catalog pointers. This facet adds; nothing was taken away to make room for it. An open-source project is not excused from the commercial facets, because exemption would strip it of the points it does earn. If we have the wrong repository, or this product is not open source, say so on your provider repo and we will drop the facet rather than have you publish against 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 75 points between them, because both conditional facets apply and carry 25 points together. That is why each facet's contribution is shown against a damped maximum: raising a quality facet moves the composite by 75% of its nominal weight, not 100%. The full arithmetic is at apis.io/rating/.

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Agent readiness — checks not met, largest first (exact, from this profile):

Machine-Readable Contract +18 pts — api_specs includes an OpenAPI document
MCP Server +12 pts — deployment.mode + probe verdict on the mcp/ manifest, not the pointer; an unprobed slug falls back to authorship
Agentic Access Contract +10 pts — agentic_access artifact present (x-agentic-access), graded by author
Machine-Readable Auth +10 pts — a served openid-configuration/oauth-authorization-server carrying `issuer` (served), else the securitySchemes class in the provider OpenAPIs — bound (mutualTLS, DPoP, Signature) > negotiable (oauth2 authorizationCode/clientCredentials, openIdConnect) > bearer (http bearer, apiKey)
Idempotency +9 pts — OpenAPI mutating operations declare an idempotency key — a header, a request-body property, or a named de-duplication token whose own description says so (verified); else common[].type matches /idempoten/i (documented)
Stable Error Semantics +8 pts — OpenAPI $refs a shared error schema across 4xx/5xx responses (verified), else common[].type includes ErrorCatalog / ErrorCodes / DeclineCodes

12 more unmet checks in the Agent Readiness table above.

Kin Score — facets with the most composite points still available (weight × headroom):

Contract Quality scores 0.0 — up to +25.0 composite points
Access Clarity scores 21.1 — up to +15.8 composite points
Developer Ergonomics scores 26.2 — up to +14.8 composite points

Each check links to what satisfies it. Publish the artifact, or tell us where it already lives, and the score moves on the next scoring run.

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 the provider profile at artifacts.apis.io/extropic/apis.yml: open an issue on github.com/api-evangelist/extropic to ask a question or point us at an artifact you publish. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

Markets this provider is in provisional

The Kin Score Market layer reads a provider inside its market: its position, and how deep its integrations go. Depth is only comparable within a position. Provisional and unweighted: not part of the Kin Score or agent readiness.

Market	Position	Depth	Registered MCP server	Declares compatibility
Agent Skills (SKILL.md packages)	undeclared	-	-	1

Registered MCP server and declares compatibility are report only — not weighted. Undeclared means we found nothing we can read, so there is no number: we never infer integrations.

Standards implemented 1

Standards this provider implements or carries. De facto ones are profiled and measured by the API Commons; formal ones come from the standards directory and are linked by the provider's own tags. The evidence column says how each claim was established — not that it was made.

Agent Skills

measured — observed by APIs.io (published)

Agent Skills 1

Packaged agent skills for driving this provider's APIs from an AI assistant.

thrml

AGENT SKILL

Security Posture 1

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

Extropic Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Resources

Get Started 1

Portal, sign-up, and the first successful call

GettingStarted

GettingStarted

Documentation 3

Reference material describing how the API behaves

ContributionGuide

ContributionGuide

Documentation

Documentation

APIReference

APIReference

Agent Surfaces 2

MCP servers, agent skills, and machine-readable catalogs

LLMsTxt

LLMsTxt

AgentSkill

AgentSkill

Build 4

SDKs, sample code, and the tooling you integrate with

GitHubOrganization

SourceCode

Packages

SDKs

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Operate 2

Status, limits, changes, and where to get help

IssueTracker

IssueTracker

Releases

Releases

Commercial 3

Pricing, plans, and the legal terms of use

License

License

PrivacyPolicy

PrivacyPolicy

TermsOfService

TermsOfService

Company 2

The organization behind the API

Website

Website

Blog

Blog

Source (apis.yml)

aid: extropic
name: Extropic
description: 'Extropic is a hardware company building thermodynamic (probabilistic) computing systems designed to run generative
  AI workloads at dramatically lower energy cost than GPUs. Its core hardware is the Thermodynamic Sampling Unit (TSU) — an
  inherently probabilistic chip whose physics natively performs the sampling that probabilistic AI algorithms depend on —
  together with the XTR-0 prototype platform for low-latency communication between Extropic chips and traditional processors.
  Extropic also develops THRML, an open-source JAX library for building and sampling probabilistic graphical models (block
  Gibbs sampling and energy-based models), which serves as a simulator and prototyping surface for the block-sampling programs
  that will one day run on TSU hardware. Extropic is not an API provider: it ships no REST/GraphQL API, developer portal,
  or hosted service — its public developer surface is the THRML Python library, its documentation, and an agent skill. Backed
  by Kindred Ventures; surfaced to the API Evangelist network as an AI-hardware portfolio company.'
url: https://raw.githubusercontent.com/api-evangelist/extropic/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- kindred-ventures
x-tier: stub
x-tier-reason: portfolio-lead
deliveryModel:
  model: open-core
  license: Apache-2.0
  open_source: true
  commercial: true
  callable_host: false
  label: Open core · an OSS project plus a commercial hosted product
  confidence: high
  source:
  - license
  - pricing
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source:
  - security
  generated: '2026-11-06'
  method: derived
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-19'
image: https://extropic.ai/
x-docs-platform: readthedocs
x-docs-platform-confidence: high
x-docs-platform-checked: 2026-10-03
tags:
- Company
- Artificial Intelligence
- Hardware
- Semiconductors
- Thermodynamic Computing
- Probabilistic Computing
- Energy-Based Models
- Machine Learning
- Open Source
tags_raw:
- Company
- Ai
- Hardware
- Semiconductors
- Thermodynamic Computing
- Probabilistic Computing
- Energy-Based Models
- Machine Learning
- Open Source
- Machine-Learning
- Open-Source
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: IssueTracker
  url: https://github.com/extropic-ai/thrml/issues
- type: Releases
  url: https://github.com/extropic-ai/thrml/releases
- type: ContributionGuide
  url: https://github.com/extropic-ai/thrml/blob/main/CONTRIBUTING.md
- type: License
  name: Apache-2.0
  url: https://github.com/extropic-ai/thrml/blob/main/LICENSE
- type: Website
  url: https://extropic.ai/
- type: Documentation
  url: https://docs.thrml.ai/
- type: APIReference
  url: https://docs.thrml.ai/api-pgm.html
- type: GettingStarted
  url: https://docs.thrml.ai/getting-started.html
- type: Blog
  url: https://extropic.ai/writing
- type: GitHubOrganization
  url: https://github.com/extropic-ai
- type: SourceCode
  url: https://github.com/extropic-ai/thrml
- type: PrivacyPolicy
  url: https://extropic.ai/privacy-policy
- type: TermsOfService
  url: https://extropic.ai/terms-of-service
- type: Packages
  url: packages/extropic-packages.yml
- type: SDKs
  url: packages/extropic-packages.yml
- type: LLMsTxt
  url: llms/extropic-llms.txt
- type: AgentSkill
  url: skills/_index.yml
- type: DomainSecurity
  url: security/extropic-domain-security.yml
x-enrichment:
  date: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence

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