# One Model

**Canonical:** https://apis.io/providers/one-model/  
**Website:** https://www.onemodel.co/  
**APIs profiled:** 0

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.

## Kin Score — 19.9 / 100 (emerging)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 19.9).

| Facet | Score |
|---|---|
| Discoverability | 57.4 |
| Contract Quality | 0.0 |
| Governance | 18.2 |
| Contract Governance | 18.2 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 7.1 |
| Commercial Clarity | 52.6 |
| Access Clarity | 52.6 |

## Agent readiness — 0.0 (human-only)

| Dimension | Value |
|---|---|
| Spec Presence | no |
| Agentic Access | no |
| Reversibility Documented | no |
| MCP Server | no |
| Auth Clarity | no |
| Idempotency | no |
| Error Semantics | no |
| OpenAPI Examples | no |
| Rate Limit Signal | no |
| Event Surface Described | no |
| Agent Skills | no |
| Well Known Catalog | no |
| Consent Identity | no |
| Agent Card | no |
| Dry Run Mode | no |

## Access

Unknown — onboarding: unknown, pricing: unknown, trial: no (confidence: low).

## Security (1)

- **One Model Domain Security** — TLSv1.3 · HSTS · DMARC

## Tags

Company, People Analytics, HR Analytics, Workforce Data, Data Mesh, Artificial Intelligence, Predictive Analytics, Business Intelligence

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Profiled by [API Evangelist](https://apievangelist.com) and published on [APIs.io](https://apis.io/providers/one-model/). Scores are computed from the provider's own public artifacts under a published rubric.