Pluralis

Pluralis Research is a decentralized AI lab pioneering Protocol Learning, a third path between closed proprietary models and open-weight models in which large transformer models are collaboratively pre-trained across many low-bandwidth, geographically distributed consumer GPUs without any single participant holding the full model weights. Its work spans communication-efficient model parallelism, asynchronous pipeline-parallel optimization, and community-owned training runs (Agora, node0), published as research papers at NeurIPS, ICML, and ICLR and as open-source libraries. Pluralis is backed by Union Square Ventures. It exposes research libraries, a participation CLI, and live run dashboards rather than a conventional REST/GraphQL developer API.

Pluralis is profiled on the APIs.io network. Tagged areas include Company, Artificial Intelligence, Machine-Learning, Distributed Training, and Decentralized AI.

Pluralis’ developer surface includes documentation, engineering blog, and 3 more developer resources.

🌐 Visit website 📡 Source on GitHub

7.7/100 minimal ▬ flat Agent 0/100 human only Full breakdown ↓
scored 2026-09-08 · rubric v0.20.0

0 APIs

Company Artificial Intelligence Machine-Learning Distributed Training Decentralized AIModel ParallelismResearch Open-Source

Kin Score

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

Composite quality — 7.7/100 · minimal

Contract Quality 0.0 / 25

Developer Ergonomics 2.4 / 20

Access Clarity 0.0 / 20

Operational Transparency 0.3 / 13

Contract Governance 0.0 / 12

Discoverability 5.0 / 10

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

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.

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/pluralis: 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 →

Security Posture 1

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

Pluralis Domain Security

TLSv1.3 · DMARC

SECURITY

Resources

Documentation 1

Reference material describing how the API behaves

Documentation

Documentation

Build 1

SDKs, sample code, and the tooling you integrate with

GitHubOrganization

GitHubOrganization

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Company 2

The organization behind the API

Website

Website

Blog

Blog

Source (apis.yml)

aid: pluralis
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/pluralis.png
name: Pluralis
description: Pluralis Research is a decentralized AI lab pioneering Protocol Learning, a third path between closed proprietary
  models and open-weight models in which large transformer models are collaboratively pre-trained across many low-bandwidth,
  geographically distributed consumer GPUs without any single participant holding the full model weights. Its work spans communication-efficient
  model parallelism, asynchronous pipeline-parallel optimization, and community-owned training runs (Agora, node0), published
  as research papers at NeurIPS, ICML, and ICLR and as open-source libraries. Pluralis is backed by Union Square Ventures.
  It exposes research libraries, a participation CLI, and live run dashboards rather than a conventional REST/GraphQL developer
  API.
url: https://raw.githubusercontent.com/api-evangelist/pluralis/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- union-square-ventures
x-tier: stub
x-tier-reason: portfolio-lead
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-20'
tags:
- Company
- Artificial Intelligence
- Machine-Learning
- Distributed Training
- Decentralized AI
- Model Parallelism
- Research
- Open-Source
tags_raw:
- Company
- Artificial Intelligence
- Machine Learning
- Distributed Training
- Decentralized AI
- Model Parallelism
- Research
- Open Source
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Website
  url: https://pluralis.ai
- type: Documentation
  url: https://pluralis.ai/docs/
- type: Blog
  url: https://pluralis.ai/blog
- type: GitHubOrganization
  url: https://github.com/PluralisResearch
- type: DomainSecurity
  url: security/pluralis-domain-security.yml
x-enrichment:
  date: '2026-07-20'
  status: minimal
  artifacts_added: 1
  pass: local-v1

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