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Klaus

Klaus is an AI-powered conversation review and quality assurance (QA) platform for customer support teams, founded in Tallinn, Estonia in 2019 and acquired by Zendesk in 2023, where it now ships as Zendesk QA. The product samples support conversations from connected help desks, scores them against configurable scorecards and rating categories, runs AutoQA checks, tracks disputes and calibration sessions, measures CSAT, and delivers coaching, quizzes and agent-performance dashboards. Klaus exposes two public REST APIs — a Public Import API for pushing conversations and users into QA from a custom help desk, and a Public Export API for pulling reviews, AutoQA ratings, CSAT, disputes, calibration sessions, scorecards, quizzes and users back out for external analysis. Both are documented as Swagger 2.0 specifications at pub.klausapp.com and authenticated with a bearer API token issued from a Zendesk QA custom integration.

agent native

Real signal across most facets with visible, nameable gaps — the contract exists but is thin, or the portal is good while governance and commercial terms are absent.

Kin Score

API Evangelist profiles Klaus the way a machine reads it — 8 machine-readable artifacts across 2 APIs, pulled from the provider's own public surface and indexed so a developer, an analyst, or an AI agent can evaluate it against every other provider on the network.

Every provider in the network is reduced to the same set of machine-readable artifacts — OpenAPI contracts, event specifications, GraphQL schemas, runnable collections, pricing and rate-limit signals, security posture, OAuth scopes, and the agent surfaces (MCP servers and skills) that let software drive the API on its own. We profile them because the interface is the part of a company you can actually inspect: it is a truer signal of what a provider does than any marketing page. From those artifacts we compute the Kin Score — Klaus scores 51.4/100 (developing), with a separate agent-readiness read of 70/100 (agent native). The full breakdown is below, followed by every artifact we hold — each card links through to its machine-readable definition on apis.io.

Kin Score

This is the API Evangelist rating — a single, repeatable read computed from the artifacts on this page. Green fill is points earned; the red track is points possible, so every bar shows earned-versus-possible at a glance.

Kin Score Kin Score How this is scored →
scored 2026-07-27 · rubric v0.5
Composite quality — 51.4/100 · developing
Contract Quality 9.4 / 25
Developer Ergonomics 13.5 / 20
Commercial Clarity 12.1 / 20
Operational Transparency 7.2 / 13
Governance 0.0 / 12
Discoverability 9.3 / 10
Agent readiness — 70/100 · agent native
Machine-Readable Contract 18 / 18
Agentic Access Contract 0 / 15
MCP Server 12 / 12
Machine-Readable Auth 10 / 10
Idempotency 9 / 9
Stable Error Semantics 8 / 8
Request/Response Examples 0 / 7
Rate-Limit Signaling 7 / 7
Typed Event Surface 0 / 6
Agent Skills 5 / 5
Well-Known Catalog 4 / 4
Consent & Bot Identity 0 / 3

How we profile Klaus

Each block below is one kind of artifact we hold for Klaus. For each we say what it is and why it earns a place in the profile, then list every one we've indexed — capped at two rows, scroll within the panel for the rest.

APIs 2

Each API is captured as its own OpenAPI definition — every operation, parameter, and response. This is the single most useful machine-readable description of what an API does, and it's what lets us score, lint, mock, and generate against it without asking the provider for anything.

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

Klaus PubImportApi API

The PubImportApi API from Klaus — 3 operation(s) for pubimportapi.

Klaus PublicExportApi API

The PublicExportApi API from Klaus — 18 operation(s) for publicexportapi.

MCP Servers 1

Model Context Protocol servers expose these APIs directly to AI agents. We profile them because agent-native access is the fastest-growing way this provider's capabilities actually get used.

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

klaus-mcp.yml

MCP SERVER

Rate Limits 1

Rate limits are the difference between a demo that works and a production integration that doesn't fall over. Publishing them is an operational-transparency signal — and a hard requirement for any agent that plans its own throughput.

Documented rate limits and quota policies.

Klaus Rate Limits

0 limits

RATE LIMITS

Security Posture 4

Authentication, domain security, vulnerability disclosure, and trust-center signals — the evidence that a provider takes security seriously enough to document it. We profile it because you can't govern what you can't see.

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

Klaus Authentication

apiKey · 1 scheme

SECURITY

Klaus Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Klaus Vulnerability Disclosure

Hackerone · contact published

SECURITY

Klaus Trust Center

SOC 2 Type II, ISO 27001:2022, ISO 27017:2015, ISO 27018:2019, ISO 27701:2019, ISO 42001, FedRAMP LI-SaaS, CSA STAR AI Levels 1 & 2, HIPAA (BAA available), HDS

SECURITY

Resources

Every other property we hold for Klaus — documentation, portals, status pages, policies, and corporate surface — grouped by the job it does, following the integrator's arc from getting started to running in production.

Documentation 2

Reference material describing how the API behaves

Agent Surfaces 4

MCP servers, agent skills, and machine-readable catalogs

Build 1

SDKs, sample code, and the tooling you integrate with

Commercial 3

Pricing, plans, and the legal terms of use

Company 2

The organization behind the API

Other 1

Properties that don't map to a standard resource type

← All providers · Data indexed from github.com/api-evangelist/klaus · machine-readable index on apis.io