Structured Data Layer

Domain Datasets

These curated JSON artifacts underpin reasoning, planning and validation tools across relocation, property, education & legal experimentation. Each dataset is schema-first, source-backed and versioned. At this time the catalog is entirely private / engagement-gated; representative identifiers are shown for scoping conversations.

Methodology Request Access
IntegrityEvery numeric or regulatory assertion maps to at least one authoritative source reference.
SeparationRaw facts vs derived blends kept distinct; prevents silent mutation of ground truth.
VersioningISO date versions + annotated changelog fragments for audit & regression.
Featured Dataset

Thailand Expat & Relocation Dataset

Comprehensive multi-domain knowledge: immigration pathways, cost modeling, area intelligence, rentals, property acquisition, education, healthcare & cultural adaptation.

Schema-first composite layer enabling deterministic MCP tool chaining. Each domain isolated in versioned JSON; numeric bands & regulatory notes source-backed for auditability.

  • Immigration & visa route sequencing
  • Budget & cost-of-living scenario estimation
  • Area & lifestyle intelligence with amenity vectors
  • Rental + property ownership planning & risk surfacing
  • Education spectrum (international, alternative, early years, SEN)
  • Healthcare navigation & insurance context
  • Lifecycle relocation timelines & composite planning outputs
Detail Page MCP Server Request Access

Access: Private composite dataset – engagement required for access & extensions.

Retrieval Patterns

  • Static resources: 8
  • Parameterized templates: 6
  • Schema highlight slices: 4
View schema highlights

Private / Engagement Datasets all gated

Higher-fidelity or composite datasets used in production planning, risk and scenario tools. Access requires engagement due to maintenance overhead or regulatory sensitivity. Contact to discuss alignment or tailored extensions.

ownership_rules.json

v2025-09-22

Foreign ownership / control pathways & constraint notes.

  • ▹structure
  • ▹allowed
  • ▹notes[]
  • ▹sources[]
Relocation / Property Request

taxes_fees.json

v2025-09-18

Transaction fee & tax categories (payer logic, rate bands).

  • ▹category
  • ▹rate
  • ▹payer
  • ▹conditions
  • ▹sources[]
Property Request

condo_quota_by_city.json

v2025-09-22

City-level quota / supply advisory notes.

  • ▹city
  • ▹notes[]
  • ▹sources[]
Relocation / Property Request

international_schools.json

v2025-09-25

International schools (city, accreditation hints, site).

  • ▹name
  • ▹slug
  • ▹city
  • ▹website
  • ▹notes[]
  • ▹source_url
Education Request

closing_costs_examples.json

v2025-09-19

Illustrative transactional breakdown scenarios (not advisory).

  • ▹scenario
  • ▹components[]
  • ▹totals
  • ▹assumptions[]
Property Request

Integrate Structured Context

Leverage these datasets via MCP tools & resource URIs for planning, comparison and validation flows – without brittle prompt stuffing.

Discuss Alignment View Methodology