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Klarity website screenshot

Klarity

Klarity is an enterprise AI company behind Klarity Architect, the "Enterprise Instinct Platform" — a Context Graph that captures how work actually happens inside a large organization and turns it into a living operational digital twin. The platform runs in three phases: Discover (an AI Companion that observes work, an AI Interviewer, and bulk file upload capture documented and undocumented processes), Structure (AI mapping organizes what it finds into a multi-level, role-aware Process Index from value streams down to individual activities), and Improve (an Advisor agent surfaces ROI-ranked recommendations and Signals detect drift from an approved standard). Klarity is used for finance, IT, GTM, HR and operations transformation, audit and compliance documentation, automation assessment, and SOP/PDD generation, with customers including DoorDash, Stripe, Salesforce and Uber. The product is delivered as a SaaS workspace with SAML SSO and fine-grained access control; Klarity publishes user documentation and an llms.txt index but no public developer API, SDKs, or webhook surface at the time of this profile.

human only

More than an index entry, but the surface is still mostly links rather than artifacts — the cohort most likely to move a full band from modest, well-targeted work.

Kin Score

API Evangelist profiles Klarity the way a machine reads it — 2 machine-readable artifacts, 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 — Klarity scores 21.1/100 (emerging), with a separate agent-readiness read of 4/100 (human only). 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 — 21.1/100 · emerging
Contract Quality 0.0 / 25
Developer Ergonomics 4.3 / 20
Commercial Clarity 10.0 / 20
Operational Transparency 0.0 / 13
Governance 0.0 / 12
Discoverability 6.8 / 10
Agent readiness — 4/100 · human only
Machine-Readable Contract 0 / 18
Agentic Access Contract 0 / 15
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 4 / 4
Consent & Bot Identity 0 / 3

How we profile Klarity

Each block below is one kind of artifact we hold for Klarity. 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.

Security Posture 2

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.

Klarity Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Klarity Trust Center

SOC 2 Type II, GDPR, CCPA

SECURITY

Resources

Every other property we hold for Klarity — 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.

Get Started 3

Portal, sign-up, and the first successful call

Documentation 2

Reference material describing how the API behaves

Agent Surfaces 2

MCP servers, agent skills, and machine-readable catalogs

Design & Contract 1

Pagination, idempotency, versioning, errors, and events

Access & Security 3

Authentication, authorization, and security posture

Commercial 2

Pricing, plans, and the legal terms of use

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