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Ernst & Young (EY) website screenshot

Ernst & Young (EY)

Ernst & Young (EY) is one of the Big Four professional services organizations, operating as a global network of member firms branded under "EY" and coordinated by Ernst & Young Global Limited (EYG). EY reports a workforce of roughly 400,000 people spanning approximately 150 countries. The firm's stated purpose is "Building a better working world" and it organizes delivery across a small set of professional service lines — Assurance, Consulting, Strategy & Transactions (branded as EY-Parthenon, covering both Strategy and Transactions and Corporate Finance), Tax, Law, Technology, Managed Services, and People & Workforce Services — plus EY Private (services for privately-held and entrepreneur-led businesses) and EY Sustainability. Industry coverage is organized into eight sectors: Industrials & Mobility, Consumer Products & Retail, Energy & Resources, Financial Services, Government & Infrastructure, Health & Life Sciences, Private Equity, and Technology, Media & Telecommunications. EY's flagship technology initiative is EY.ai, positioned as an enterprise-scale "agentic AI unifying platform" backed by alliances with NVIDIA, Microsoft, IBM, SAP, ServiceNow and others. Adjacent platform brands include EY Nexus (a sector-tailored business transformation platform marketed primarily to financial services), EY Studio+ (customer experience / growth), EY Ecosystems (partnership network), and EY wavespace (innovation centers). EY's research-publishing surface is the EY Insights portfolio, organized around topic areas (AI, Finance, Geostrategy, People and Workforce, Risk, Sustainability, Technology, EY Transformation) and flagship recurring series including the CEO Outlook, EY Megatrends, Global IPO Trends, the Private Equity Pulse, Work Reimagined, the Climate Action Barometer, and the Nature Action Barometer, plus EY Podcasts and EY Webcasts. Project Everest — the proposed split of EY's audit and consulting businesses — was publicly cancelled in April 2023, and EY continues to operate as an integrated multi-line professional services organization. EY does not publish a public developer portal, OpenAPI specifications, public REST APIs, or a consumer-facing API pricing surface at the global corporate level. The only first-party EY GitHub organization that is publicly discoverable is EYBlockchain (github.com/EYBlockchain, ~28 public repositories, ~160 followers, blog URL blockchain.ey.com), which hosts EY's open-source zero-knowledge cryptography and privacy-preserving blockchain work, anchored by the Nightfall optimistic-rollup family (Nightfall_3 in JavaScript / Nightfall_4 Community Edition in Rust) and the Starlight Solidity-to-zApp transpiler, alongside supporting libraries such as Timber, Poseidon, halo2-lib, snark-verifier, plonkish, algebra, and ZoKrates wrappers, plus product brands EY Blockchain Analyzer (Reconciler and Smart Contract & Token Review) and the EY OpsChain Suite (Traceability, ESG, Contract Manager).

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 Ernst & Young (EY) the way a machine reads it — 5 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 — Ernst & Young (EY) scores 27.6/100 (emerging), with a separate agent-readiness read of 7/100 (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 — 27.6/100 · emerging
Contract Quality 3.8 / 25
Developer Ergonomics 0.0 / 20
Commercial Clarity 13.7 / 20
Operational Transparency 3.4 / 13
Governance 0.0 / 12
Discoverability 6.8 / 10
Agent readiness — 7/100 · 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 7 / 7
Typed Event Surface 0 / 6
Agent Skills 0 / 5
Well-Known Catalog 0 / 4
Consent & Bot Identity 0 / 3

How we profile Ernst & Young (EY)

Each block below is one kind of artifact we hold for Ernst & Young (EY). 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.

Pricing 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.

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.

Ernst And Young Rate Limits

1 limits

RATE LIMITS

FinOps 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.

Semantic 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.

Ernst And Young Context

53 classes · 2 properties

JSON-LD

Security Posture 1

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.

Ernst And Young Domain Security

TLSv1.3 · HSTS · DNSSEC · DMARC

SECURITY

Resources

Every other property we hold for Ernst & Young (EY) — 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.

Access & Security 2

Authentication, authorization, and security posture

Learn 2

Tutorials, courses, talks, and written guidance

Operate 1

Status, limits, changes, and where to get help

Commercial 3

Pricing, plans, and the legal terms of use

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