Peopleix

peopleIX is a People Intelligence platform for HR leaders, built and operated by peopleIX GmbH in Cologne, Germany (founded 2022). It integrates 100+ HR systems (HRIS, ATS, LMS, payroll) and pairs an AI Data Analyst (people analytics — the "what") with AI-led conversations across the workforce (conversation intelligence — the "why") to answer hard workforce questions in hours rather than months. Each engagement leaves a persistent, queryable knowledge layer the customer keeps. That knowledge layer is exposed to agents through a real, hosted, remote MCP server at https://app.peopleix.com/mcp — confirmed live, OAuth 2.1-gated (PKCE S256, dynamic client registration, Clerk-backed), and advertised through RFC 8414 and RFC 9728 discovery documents the application host serves anonymously. peopleIX publishes no OpenAPI, no REST developer portal, and no SDK; the MCP endpoint is the entire developer-facing surface, and its tool inventory sits behind customer authentication. The service is EU-resident end-to-end, GDPR compliant and ISO 27001 certified with a Vanta-hosted trust center at https://trust.peopleix.com, and never trains on customer data. Backed by Earlybird, neoteq ventures, ts ventures, and business angels.

Peopleix is listed with 1 API on the APIs.io network. Tagged areas include Company, Human Resources, People Analytics, People Intelligence, and Conversation Intelligence.

Peopleix’s developer surface includes authentication, engineering blog, support, and 18 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

22.2/100 emerging ▬ flat Agent 25/100 agent aware Front door AI 6/6 dominant saas Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

AccessSelf serve

1 API 1 MCP Servers

Company Human Resources People AnalyticsPeople IntelligenceConversation Intelligence Workforce Analytics Artificial Intelligence MCP Germany

Kin Score

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

Composite quality — 22.2/100 · emerging

Contract Quality 0.0 / 21

Developer Ergonomics 3.2 / 17

Access Clarity 5.6 / 17

Operational Transparency 0.3 / 11

Contract Governance 1.9 / 10

Discoverability 6.1 / 9

Regulatory Posture 4.9 / 15

Agent readiness — 25/100 · agent aware

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 12 / 12

Machine-Readable Auth 10 / 10

Idempotency 0 / 9

Stable Error Semantics 0 / 8

Request/Response Examples 0 / 7

Rate-Limit Signaling 7 / 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 6 / 6

Protected Resource Metadata 5 / 5

Registration Without a Human 6 / 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 Employment & Payroll regime (on an ambiguous tag, where no other regime matched), 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
Agentic Access Contract +10 pts — agentic_access artifact present (x-agentic-access), graded by author
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
A2A Agent Card +8 pts — a2a/-a2a.yml manifest, graded on conformance.grade against A2A 1.0.0
Request/Response Examples +7 pts — share of operations carrying request/response examples; else an Examples / Code Samples link

7 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 19.0 — up to +16.2 composite points
Access Clarity scores 32.9 — up to +13.4 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/peopleix/apis.yml: open an issue on github.com/api-evangelist/peopleix 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 →

Standards implemented 3

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.

Model Context Protocol (MCP)

measured — observed by APIs.io (documented)

OAuth 2.0 Protected Resource Metadata

measured — observed by APIs.io (verified)

Dynamic Client Registration

measured — observed by APIs.io (published)

APIs 1

Individual APIs this provider publishes, each with its own machine-readable definition.

peopleIX MCP

The hosted, remote Model Context Protocol server through which peopleIX exposes a customer's People Intelligence knowledge layer to agents such as Claude, ChatGPT and Copilot. A...

MCP Servers 1

Model Context Protocol servers that expose these APIs to AI agents.

peopleIX MCP

Remote MCP server at app.peopleix.com over streamable HTTP.

MCP SERVER

Peopleix API pricing

Pricing Plans 1

Published pricing tiers and plan structures.

Peopleix Plans Pricing

0 plans

PLANS

Rate Limits 1

Documented rate limits and quota policies.

Peopleix Rate Limits

0 limits

RATE LIMITS

Security Posture 3

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

Peopleix Authentication

1 scheme

SECURITY

Peopleix Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Peopleix Trust Center

ISO 27001, GDPR

SECURITY

Scopes 1

OAuth scopes governing access to this provider's APIs.

Peopleix Scopes

2 scopes

SCOPES

Resources

Get Started 1

Portal, sign-up, and the first successful call

Login

Agent Surfaces 3

MCP servers, agent skills, and machine-readable catalogs

MCPServer

MCPServer

WellKnown

WellKnown

LLMsTxt

LLMsTxt

Design & Contract 3

Pagination, idempotency, versioning, errors, and events

Conventions

Conventions

Lifecycle

Lifecycle

Conformance

Conformance

Build 2

SDKs, sample code, and the tooling you integrate with

Packages

Packages

GitHubOrganization

GitHubOrganization

Access & Security 5

Authentication, authorization, and security posture

Authentication

OAuthScopes

DomainSecurity

Compliance

TrustCenter

Operate 2

Status, limits, changes, and where to get help

RateLimits

RateLimits

Support

Support

Commercial 2

Pricing, plans, and the legal terms of use

Plans

Plans

PrivacyPolicy

PrivacyPolicy

Company 2

The organization behind the API

Website

Website

Blog

Blog

Other 1

Properties that don't map to a standard resource type

Imprint

Imprint

Source (apis.yml)

aid: peopleix
name: Peopleix
description: peopleIX is a People Intelligence platform for HR leaders, built and operated by peopleIX GmbH in Cologne, Germany
  (founded 2022). It integrates 100+ HR systems (HRIS, ATS, LMS, payroll) and pairs an AI Data Analyst (people analytics —
  the "what") with AI-led conversations across the workforce (conversation intelligence — the "why") to answer hard workforce
  questions in hours rather than months. Each engagement leaves a persistent, queryable knowledge layer the customer keeps.
  That knowledge layer is exposed to agents through a real, hosted, remote MCP server at https://app.peopleix.com/mcp — confirmed
  live, OAuth 2.1-gated (PKCE S256, dynamic client registration, Clerk-backed), and advertised through RFC 8414 and RFC 9728
  discovery documents the application host serves anonymously. peopleIX publishes no OpenAPI, no REST developer portal, and
  no SDK; the MCP endpoint is the entire developer-facing surface, and its tool inventory sits behind customer authentication.
  The service is EU-resident end-to-end, GDPR compliant and ISO 27001 certified with a Vanta-hosted trust center at https://trust.peopleix.com,
  and never trains on customer data. Backed by Earlybird, neoteq ventures, ts ventures, and business angels.
url: https://raw.githubusercontent.com/api-evangelist/peopleix/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- earlybird
- neoteq-ventures
- ts-ventures
x-tier: stub
x-tier-reason: portfolio-lead
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: unknown
  onboarding: self-serve
  trial: false
  try_now: false
  public: false
  gated: none
  gated_source:
  - onboarding
  label: Self-serve signup
  confidence: medium
  source:
  - authentication
  - scopes
  - rate-limits
  - security
  generated: '2026-11-06'
  method: derived
image: https://www.peopleix.com/opengraph-image
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-08-14'
tags:
- Company
- Human Resources
- People Analytics
- People Intelligence
- Conversation Intelligence
- Workforce Analytics
- Artificial Intelligence
- MCP
- Germany
tags_raw:
- Company
- HR
- People Analytics
- People Intelligence
- Conversation Intelligence
- Human Resources
- Workforce Analytics
- AI
- MCP
- Germany
apis:
- name: peopleIX MCP
  description: The hosted, remote Model Context Protocol server through which peopleIX exposes a customer's People Intelligence
    knowledge layer to agents such as Claude, ChatGPT and Copilot. A JSON-RPC POST to https://app.peopleix.com/mcp returns
    HTTP 401 with an RFC 9728 WWW-Authenticate challenge pointing at its own protected-resource metadata, which names the
    resource "peopleIX MCP". Authentication is an OAuth 2.1 authorization-code flow with mandatory PKCE (S256) and dynamic
    client registration, fronted by Clerk. The tool inventory and input schemas are behind that auth wall and were not read;
    peopleIX publishes no tool list, no OpenAPI, and no developer docs for this surface.
  humanURL: https://www.peopleix.com
  baseURL: https://app.peopleix.com/mcp
  tags:
  - MCP
  - People Intelligence
  - Human Resources
  tags_raw:
  - MCP
  - People Intelligence
  - HR
  properties:
  - type: MCPServer
    url: mcp/peopleix-mcp.yml
  - type: Authentication
    url: authentication/peopleix-authentication.yml
  - type: OAuthScopes
    url: scopes/peopleix-scopes.yml
common:
- type: MCPServer
  url: mcp/peopleix-mcp.yml
- type: Authentication
  url: authentication/peopleix-authentication.yml
- type: OAuthScopes
  url: scopes/peopleix-scopes.yml
- type: WellKnown
  url: well-known/peopleix-well-known.yml
- type: Conventions
  url: conventions/peopleix-conventions.yml
- type: Lifecycle
  url: lifecycle/peopleix-lifecycle.yml
- type: Packages
  url: packages/peopleix-packages.yml
- type: Plans
  url: plans/peopleix-plans-pricing.yml
- type: RateLimits
  url: rate-limits/peopleix-rate-limits.yml
- type: DomainSecurity
  url: security/peopleix-domain-security.yml
- type: Website
  url: https://www.peopleix.com
- type: Blog
  url: https://www.peopleix.com/blog
- type: Login
  url: https://app.peopleix.com/en/auth/sign-in
- type: Support
  url: mailto:contact@peopleix.com
- type: PrivacyPolicy
  url: https://www.peopleix.com/privacy
- type: Imprint
  url: https://www.peopleix.com/imprint
- type: GitHubOrganization
  url: https://github.com/peopleIX
- type: Integrations
  url: https://www.peopleix.com/integrations
- type: LLMsTxt
  url: llms/peopleix-llms.txt
- type: Conformance
  url: conformance/peopleix-conformance.yml
- type: Compliance
  url: security/peopleix-trust-center.yml
- type: TrustCenter
  url: https://trust.peopleix.com
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
x-enrichment:
  date: '2026-08-14'
  status: enriched
  artifacts_added: 10
  pass: local-v1

Peopleix API — frequently asked questions

Does Peopleix have an API?

Yes. APIs.io lists 1 API from Peopleix, including peopleIX MCP.

How do I authenticate with the Peopleix API?

Peopleix documents its authentication (1 scheme). The details are profiled on APIs.io as Peopleix Authentication.

Does Peopleix have an MCP server?

Yes. APIs.io lists 1 MCP server for Peopleix: Remote MCP server at app.peopleix.com over streamable HTTP.

Is the Peopleix API ready for AI agents?

Peopleix has a Kin Score of 22.2 out of 100 (emerging) and an Agent Readiness score of 24.7 (agent-aware), scored by API Evangelist on 2026-11-06.

Work with this as data

Every provider here is available over the APIs.io API and to AI agents over MCP.

MCP server

One button, every client — Claude, Cursor, VS Code and the rest.

https://apis.io/mcp

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