Foreign-buyer focus Japan-specific terms Clarity over persuasion

Translate fragmented listings into decision-ready clarity.

KAGI is an AI property intelligence system for Japanese real estate. It normalizes scattered data, surfaces trade-offs early, and keeps facts, inferences, and unknowns clearly separated.

Not a broker. No legal, tax, or investment advice. Always confirm with licensed professionals.

What KAGI does

A structured system for turning partial listing data into actionable understanding.

Normalize information

Turns fragmented data into consistent, plain-language statements.

  • +Explains Japanese terms on first use
  • +Distinguishes facts, inferences, unknowns
  • +Uses the same output format every time

Assess fit

Compares the property to your profile and priorities.

  • +Highlights why it fits and why it may not
  • +Surfaces trade-offs early
  • +Notes common foreign-buyer misunderstandings

Frame in context

Shows how the listing compares to typical options in the same area.

  • +Flags unusual price or specs
  • +Mentions liquidity and resale realities
  • +Suggests comparisons, not conclusions

Assessment framework

Every property is summarized using the same five-part structure.

Structured output
Clear sections, early risks, and explicit unknowns.
5 parts, every time
01Summary

Plain-language summary

What it is, where it is, and who it fits.

02Fit

Fit assessment

Why it matches your goals and why it may not.

03Risk

Risk and reality check

Structure, legal, market, and ownership realities.

04Context

Contextual framing

How this compares to typical options nearby.

05Next

Next questions

What to clarify and what would change the view.

Output is neutral and non-persuasive. The goal is clarity, not conversion.

Inputs KAGI can use

Bring partial data. KAGI will call out what is missing.

User profile

Residency status, budget, intent, horizon, and risk tolerance.

Residency status
Budget range
Intended use
Time horizon
Risk tolerance

Property preferences

Location, type, size, age, and new vs used preferences.

City or ward
Station radius
Mansion or house
Size and age
Yield vs appreciation

Listing or market data

Incomplete listings are fine. Context is still possible.

Listing text or photos
Price and fees
Floor plan details
Area pricing notes
Age and structure

Guardrails and reality checks

Clear boundaries on advice, and reminders on what must be verified.

Common misunderstandings

  • +Management and repair fees can shift over time
  • +Resale liquidity varies widely by micro-location
  • +Land ownership and building rights are not always aligned

What KAGI will not do

  • +No brokerage or agent recommendations
  • +No legal, tax, or investment advice
  • +No pressure to purchase

Professional confirmation

  • +Always verify title, zoning, and repair plans
  • +Confirm building condition and seismic compliance
  • +Validate fees and restrictions with a licensed expert

Example property snapshot

A structured output that separates facts from assumptions.

Kyoto, 2LDK mansion near Karasuma Oike

Used condo (mansion) Built 2003 Walk 6 min to station

Suitable for a long-term personal base with moderate rental flexibility. Likely stable for owner-occupiers, less ideal for short horizon resale.

Plain-language summary
Fit assessment
Risk and reality check
Contextual framing
Next questions

Facts

  • 63 sqm, south-facing
  • Monthly fees: 22,000 JPY
  • 2 lines within 10 minutes

Inferences

  • Likely stable demand for long-term rent
  • Price appears average for the block

Unknowns

  • Repair reserve increase schedule
  • Seismic upgrade status
  • Owner occupancy ratio