One Model

One Model is an HR and people-analytics software platform that unifies fragmented workforce data from HRIS, ATS, payroll, engagement, performance, and finance systems into a governed data mesh, then applies AI to turn it into insights for HR leaders and executives. Its products include Data Mesh (unify, govern, and activate data across sources), Data Stories (dashboards and reporting), One AI (a transparent predictive-modeling pipeline plus a natural-language assistant), and enterprise AI connections — including an MCP Server Access option — that let governed people data feed tools such as ChatGPT, Copilot, and Claude with role-based access controls. One Model is ISO 27001:2022 certified and SOC 2 Type II attested, and adheres to GDPR data-processor requirements.

One Model is profiled on the APIs.io network. Tagged areas include Company, People Analytics, HR Analytics, Workforce Data, and Data Mesh.

One Model’s developer surface includes pricing, engineering blog, support, signup flow, and 9 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

27.0/100 thin ▬ flat Agent 0/100 human only Front door AI 6/6 dominant Heartbeat 100/100 alive saas Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

AccessEnterprise

0 APIs

Company People Analytics HR AnalyticsWorkforce DataData Mesh Artificial Intelligence Predictive Analytics Business Intelligence

Kin Score

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

Composite quality — 27.0/100 · thin

Contract Quality 0.0 / 21

Developer Ergonomics 1.2 / 17

Access Clarity 14.3 / 17

Operational Transparency 0.0 / 11

Contract Governance 1.9 / 10

Discoverability 4.7 / 9

Regulatory Posture 3.3 / 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

Pagination 5 / 5

Distinct Operations 3 / 3

MCP Tool Quality 6 / 6

Regulatory Posture applies to this provider. Its tags matched the Horizontal (data, software, accessibility, platform) 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/.

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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

13 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
Developer Ergonomics scores 7.1 — up to +18.6 composite points
Operational Transparency scores 0.0 — up to +13.0 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/one-model/apis.yml: open an issue on github.com/api-evangelist/one-model 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 →

One Model API pricing

Prices published by One Model, read 2026-10-07 from www.onemodel.co/pricing.

Plan	Price
Essentials	Get a quote Includes: Pre-built insight Packs for fast answers to your most critical HR questions
Data Mesh	Get a quote Includes: Unify, govern, and activate all your data across sources
Enterprise	Get a quote Includes: End-to-end people analytics with AI

Plan details, limits and sources →

Pricing Plans 1

Published pricing tiers and plan structures.

One Model Plans Pricing

3 plans

PLANS

Security Posture 1

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

One Model Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Resources

Get Started 1

Portal, sign-up, and the first successful call

SignUp

SignUp

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

LLMsTxt

LLMsTxt

Design & Contract 1

Pagination, idempotency, versioning, errors, and events

Conformance

Conformance

Access & Security 2

Authentication, authorization, and security posture

Compliance

Compliance

DomainSecurity

DomainSecurity

Operate 1

Status, limits, changes, and where to get help

Support

Support

Commercial 4

Pricing, plans, and the legal terms of use

Plans

Pricing

PrivacyPolicy

TermsOfService

Company 3

The organization behind the API

BlogRSS

BlogRSS

Website

Website

Blog

Blog

Source (apis.yml)

aid: one-model
name: One Model
description: One Model is an HR and people-analytics software platform that unifies fragmented workforce data from HRIS, ATS,
  payroll, engagement, performance, and finance systems into a governed data mesh, then applies AI to turn it into insights
  for HR leaders and executives. Its products include Data Mesh (unify, govern, and activate data across sources), Data Stories
  (dashboards and reporting), One AI (a transparent predictive-modeling pipeline plus a natural-language assistant), and enterprise
  AI connections — including an MCP Server Access option — that let governed people data feed tools such as ChatGPT, Copilot,
  and Claude with role-based access controls. One Model is ISO 27001:2022 certified and SOC 2 Type II attested, and adheres
  to GDPR data-processor requirements.
url: https://raw.githubusercontent.com/api-evangelist/one-model/refs/heads/main/apis.yml
deliveryModel:
  model: saas
  open_source: false
  commercial: true
  callable_host: false
  label: Hosted service · you call their endpoint
  confidence: medium
  source:
  - pricing
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: enterprise
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Enterprise
  confidence: low
  source:
  - plans
  - security
  generated: '2026-11-06'
  method: derived
image: https://www.onemodel.co/hubfs/one%20model%20favicon.png
x-type: company
x-source: vc-portfolio
x-backed-by:
- techstars
x-tier: stub
x-tier-reason: portfolio-lead
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-10-06'
tags:
- Company
- People Analytics
- HR Analytics
- Workforce Data
- Data Mesh
- Artificial Intelligence
- Predictive Analytics
- Business Intelligence
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Plans
  url: plans/one-model-plans-pricing.yml
- url: https://www.onemodel.co/blog/rss.xml
  type: BlogRSS
- type: Website
  url: https://www.onemodel.co/
- type: Pricing
  url: https://www.onemodel.co/pricing
- type: Blog
  url: https://www.onemodel.co/blog
- type: Support
  url: https://help.onemodel.co/hc
- type: SignUp
  url: https://www.onemodel.co/get-demo
- type: PrivacyPolicy
  url: https://www.onemodel.co/privacy-policy
- type: TermsOfService
  url: https://www.onemodel.co/terms-and-conditions
- type: Compliance
  url: https://www.onemodel.co/security
- type: Conformance
  url: conformance/one-model-conformance.yml
- type: DomainSecurity
  url: security/one-model-domain-security.yml
- type: LLMsTxt
  url: llms/one-model-llms.txt
x-enrichment:
  date: '2026-07-20'
  status: enriched
  artifacts_added: 3
  pass: local-v1

One Model API — frequently asked questions

How much does the One Model API cost?

One Model publishes its prices; its Essentials plan is Get a quote as of 2026-10-07. APIs.io lists 3 pricing plans for One Model, with each plan's price, limits and inclusions under Pricing on this page.

Is the One Model API ready for AI agents?

One Model has a Kin Score of 27.0 out of 100 (thin) and an Agent Readiness score of 0.0 (human-only), scored by API Evangelist on 2026-11-06.

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