KPMG
KPMG is one of the Big Four professional services organizations, operating through a global network of independent member firms affiliated with KPMG International Limited, a private English company limited by guarantee that itself does not provide services to clients. The network spans more than 276,000 partners and employees across 138 countries and territories. KPMG organizes delivery across six service lines — Audit & Assurance, Tax, Legal, Advisory, ESG, and AI — and serves six industries: Consumer / Retail / Leisure; Energy, Natural Resources & Chemicals; Financial Services; Healthcare; Government & Public Sector; and Private Enterprise. AI is a first-class service line built on the KPMG Trusted AI framework — a ten-pillar approach covering Reliability, Security, Safety, Privacy, Sustainability, Explainability, Integrity, Transparency, Fairness, and Accountability — and packaged through five AI solutions: KPMG AI Jumpstart, AI Strategy, AI Trust, AI Workforce, and AI Technology. Alliances anchoring the AI delivery surface include Microsoft, Oracle, Salesforce, SAP, ServiceNow, and Workday, with collaboration noted with the World Economic Forum. KPMG Lakehouse, the firm's USD 450 million learning-and-innovation campus in Lake Nona, Orlando, is the cultural and AI-upskilling hub for the US firm and a venue for client innovation sessions in generative AI, ESG, and talent strategy. Insights is KPMG's research-publishing surface, organized across topic categories including AI and Technology, ESG, Operations, Risk and Regulation, Transformation, Value Creation, Workforce, Public Policy & Regulatory Change, Business Transformation, Audit & Assurance, Tax, Advisory, Sustainability, and Transactions, with flagship series such as the KPMG US Technology Survey Report, the KPMG Global Third-Party Risk Management Survey, the KPMG M&A Deal Market Study, Fit for Pillar Two, and AI Governance Principles for Boards. KPMG does not publish a public developer API or corporate developer portal at the network level; the firm has no enumerable public GitHub organization at `github.com/kpmg`. The one meaningful public API surface inside the KPMG brand is KPMG Origins (`kpmgorigins.com`) — an Australian regulated-waste tracking platform (initially the NSW Integrated Waste Tracking System / IWTS, with Queensland and other jurisdictions in scope) that exposes two REST APIs (Movements + Registries) over Swagger with API-key authentication, intended for integration with waste-operator software rather than as a general-purpose KPMG developer surface. Distribution to readers and client stakeholders flows through the Insights site, the US Subscription Center (Opportunity (In)sight monthly newsletter), KPMG Australia's Business Insights podcast, and per-page RSS feeds offered on individual KPMG member-firm pages.
Limited machine-readable signal and partial portal coverage — documentation a human can read, but little a machine or agent can consume without scraping.
API Evangelist profiles KPMG the way a machine reads it — 12 machine-readable artifacts across 4 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 — KPMG scores 37.4/100 (thin), with a separate agent-readiness read of 48/100 (agent ready). 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
How this is scored →scored 2026-07-27 · rubric v0.5
How we profile KPMG
Each block below is one kind of artifact we hold for KPMG. 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 4
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.
KPMG Origins (IWTS)
KPMG Origins is the public-facing platform implementing the NSW Integrated Waste Tracking System (IWTS) and is the single discoverable public REST API surface inside the KPMG br...
KPMG Discovery API
The Discovery API from KPMG — 6 operation(s) for discovery.
KPMG Movements API
The Movements API from KPMG — 4 operation(s) for movements.
KPMG Registries API
The Registries API from KPMG — 2 operation(s) for registries.
Open Collections 1
Open, tool-agnostic collections carry the same runnable value as Postman without locking you to one client — the portable, forkable form of the same exercise.
Open, tool-agnostic API collections (OpenAPI-derived and Bruno).
KPMG Origins APIs
OPEN COLLECTIONPricing Plans 1
Pricing is part of the interface. Machine-readable plans tell you what a tier costs and includes before you commit — one of the six things the Kin Score reads for commercial clarity.
Published pricing tiers and plan structures.
Kpmg Plans Pricing
PLANSRate 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.
Kpmg Rate Limits
RATE LIMITSFinOps 1
Cost, billing, and metering signals let a buyer model the financial operations of an API before it's live. We profile them for the same reason we profile pricing: the money is part of the contract.
Cost, billing, and metering signals for API financial operations.
Kpmg Finops
FINOPSSemantic Vocabularies 1
JSON-LD contexts give the data shared meaning across APIs. We profile them because semantics are what let a machine reconcile 'customer' here with 'customer' somewhere else.
JSON-LD contexts and semantic vocabularies used across these APIs.
Kpmg Context
JSON-LDSecurity 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.
Agentic Access 1
An x-agentic-access contract marks which operations are safe for an agent to run on its own and which need a human in the loop. It is the difference between an API an agent can use and one it can use safely.
Recommended x-agentic-access execution contracts for AI agents.
Resources
Every other property we hold for KPMG — 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.
Agent Surfaces 2
MCP servers, agent skills, and machine-readable catalogs
Build 1
SDKs, sample code, and the tooling you integrate with
Access & Security 2
Authentication, authorization, and security posture
Learn 1
Tutorials, courses, talks, and written guidance
Operate 1
Status, limits, changes, and where to get help
Company 6
The organization behind the API
Other 12
Properties that don't map to a standard resource type
Scroll within the panel for all 12 ·
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