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Royal LePage

Royal LePage is Canada's largest residential real estate brokerage brand, founded in Toronto in 1913 as A.E. LePage and operated today under franchise and corporately-owned brokerages by Bridgemarq Real Estate Services (TSX: BRE), an affiliate of Brookfield. It spans roughly 20,000 licensed REALTORS across 600-plus offices nationwide, and sits in the value chain as a brokerage/franchisor rather than as a data platform. Its consumer search at royallepage.ca is a downstream CONSUMER of listing data, not a publisher of it - the site states its inventory is "226,755 active MLS listings via the CREA DDF network," meaning the machine-readable feed belongs to the Canadian Real Estate Association's Data Distribution Facility, not to Royal LePage. On API posture the honest finding is that there is none published for developers - no developer portal, no documented API, no OpenAPI or OData $metadata, no RESO Web API or Data Dictionary certification anywhere in evidence (RESO is a US NAR-adjacent regime and is simply absent from the Canadian brokerage layer), and no SDKs, webhooks, or Postman collections. Account registration on the site creates a Virtual Office Website (VOW) relationship with Royal LePage Real Estate Services, Brokerage that restricts data to personal, non-commercial use, and the legal notice expressly forbids "spiders, robots, crawlers, data mining tools, or the like." Any programmatic access to the underlying Canadian listing record runs through CREA membership and the DDF licence, not through Royal LePage.

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 Royal LePage 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 — Royal LePage scores 19.7/100 (emerging), with a separate agent-readiness read of 0/100 (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 — 19.7/100 · emerging
Contract Quality 2.4 / 25
Developer Ergonomics 2.6 / 20
Commercial Clarity 4.2 / 20
Operational Transparency 0.0 / 13
Governance 0.0 / 12
Discoverability 6.8 / 10
Regulatory · Securities & Market Data 6.2 / 15
Agent readiness — 0/100 · 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 0 / 4
Consent & Bot Identity 0 / 3

How we profile Royal LePage

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

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.

Royal Lepage Organization Context

0 classes · 0 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.

Royal Lepage Domain Security

TLSv1.3 · DMARC

SECURITY

Resources

Every other property we hold for Royal LePage — 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 1

Portal, sign-up, and the first successful call

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

Design & Contract 2

Pagination, idempotency, versioning, errors, and events

Build 2

SDKs, sample code, and the tooling you integrate with

Access & Security 1

Authentication, authorization, and security posture

Learn 1

Tutorials, courses, talks, and written guidance

Operate 1

Status, limits, changes, and where to get help

Commercial 2

Pricing, plans, and the legal terms of use

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