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Landcor Data

Landcor Data Corporation is a New Westminster, British Columbia property data and automated valuation company, founded in 2000, that sells residential valuations, assessment detail and land title documents across the roughly 1.9 million residential properties in BC. It sits in the valuation and public-record layer of the Canadian value chain rather than the listings layer: its inputs are BC Assessment detail, Land Title and Survey Authority (LTSA) title and document search, BC Registry Services, municipal tax certificates and materials licensed from the Integrated Cadastral Information Society (ICIS), and its outputs are the Valuator AVM report, the Adjusted Value Profiler, the Property Profiler, Title Search Plus and historic valuation reports sold to lenders, appraisers, notaries, insurers and brokerages. Its API posture is the unusual case in this study: a real, live, anonymously readable machine-readable contract exists with no developer programme around it. The host api.landcor.com runs a FastAPI service on Azure App Service in Canada Central that serves a valid OpenAPI 3.1.0 document titled "Landcor Property API" version 0.1.0 at /openapi.json, with Swagger UI at /docs and ReDoc at /redoc, all returning HTTP 200 without credentials. Twelve operations cover property search, property detail, PDF report retrieval, valuation range, valuation history, loan-to-value checks, neighbourhood sales series, comparables, address autocomplete and an AVM narrative summary. Every operation except /health requires an HTTP Bearer token and returns 401 "Missing token" without one, and no route to obtain that token is published anywhere: landcor.com carries no developer, API, partner or data-licensing page, does not link api.landcor.com at all, and the store.landcor.com self-serve account is for buying individual reports through the web store, not for API credentials. RESO is absent, which is the expected Canadian answer. Landcor is not among the nineteen Canadian organizations RESO lists as members, holds no Web API or Data Dictionary certification, exposes no OData $metadata document, and uses its own PID identifier rather than the RESO Universal Property Identifier. No open, unlicensed dataset is published: the underlying assessment, title and cadastral data is licensed to Landcor from provincial bodies and resold, so the public record itself is a commercial product here.

agent native

Limited machine-readable signal and partial portal coverage — documentation a human can read, but little a machine or agent can consume without scraping.

Kin Score

API Evangelist profiles Landcor Data the way a machine reads it — 8 machine-readable artifacts across 1 API, 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 — Landcor Data scores 39.2/100 (thin), with a separate agent-readiness read of 65/100 (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 — 39.2/100 · thin
Contract Quality 9.4 / 25
Developer Ergonomics 9.6 / 20
Commercial Clarity 8.9 / 20
Operational Transparency 2.1 / 13
Governance 0.0 / 12
Discoverability 9.3 / 10
Agent readiness — 65/100 · agent native
Machine-Readable Contract 18 / 18
Agentic Access Contract 15 / 15
MCP Server 12 / 12
Machine-Readable Auth 10 / 10
Idempotency 0 / 9
Stable Error Semantics 8 / 8
Request/Response Examples 0 / 7
Rate-Limit Signaling 0 / 7
Typed Event Surface 0 / 6
Agent Skills 5 / 5
Well-Known Catalog 0 / 4
Consent & Bot Identity 0 / 3

How we profile Landcor Data

Each block below is one kind of artifact we hold for Landcor Data. 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 1

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.

Landcor Property API

The Landcor Property API is a live REST service on api.landcor.com that publishes a valid OpenAPI 3.1.0 contract titled "Landcor Property API" version 0.1.0, served anonymously ...

Arazzo Workflows 3

Real integrations are rarely a single call. Arazzo describes the multi-step sequences — auth, then create, then confirm — so both a human and an agent can follow the choreography, not just the endpoints.

Multi-step API workflows described with the Arazzo specification.

_Index

ARAZZO

Landcor — address to valuation

Resolve a BC street address to a Landcor PID, then pull property detail, the AVM valuation range and the valuation history.

ARAZZO

Landcor — loan-to-value check and valuation report

Run a proposed mortgage amount against Landcor's AVM value for a BC property and retrieve the password-protected PDF valuation report for the file.

ARAZZO

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.

landcor-mcp.yml

MCP SERVER

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.

Landcor Authentication

http · 1 scheme

SECURITY

Landcor Domain Security

TLSv1.3 · DMARC

SECURITY

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.

Landcor Agentic Access

12 operations · 2 acting

12 operations · 2 acting

AGENTIC

Resources

Every other property we hold for Landcor Data — 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 2

Portal, sign-up, and the first successful call

Documentation 2

Reference material describing how the API behaves

Design & Contract 7

Pagination, idempotency, versioning, errors, and events

Scroll within the panel for all 7 ·

Build 2

SDKs, sample code, and the tooling you integrate with

Access & Security 3

Authentication, authorization, and security posture

Operate 2

Status, limits, changes, and where to get help

Commercial 3

Pricing, plans, and the legal terms of use

Other 2

Properties that don't map to a standard resource type

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