Jeonse Fraud Risk Instant Analyzer

3.75

Derivation Chain

Step 1 Emergence of AI-powered Jeonse fraud prevention technology

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Step 2 Tenant demand for pre-contract risk verification

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Step 3 Integrated landlord and property risk scoring SaaS

Problem

Tenants preparing for a Jeonse (lease deposit) contract need to individually verify 6-8 documents including property registry, building ledger, landlord tax delinquency status, and local market prices, which takes 3-5 hours. Non-experts miss critical risk signals such as mortgage-to-value ratios and multi-household tenant verification, exposing them to deposit losses averaging $37,500-$150,000 (5,000만-2억원).

Solution

By simply entering an address, the system automatically collects property registry, building ledger, actual transaction prices, and landlord delinquency history, then instantly calculates a Jeonse fraud risk grade from A to F. It visualizes key risk factors including mortgage ratio, market value relative to multi-unit tenant count, and number of properties owned by the landlord, and provides recommended follow-up actions when risks are detected.

Target: Single-person households and newlyweds in their 20s-30s preparing Jeonse (lease deposit) contracts, and licensed real estate agents

Revenue Model: Per Transaction billing at $7.50 (9,900원) per single diagnosis, Monthly Subscription plan at $22/month (29,000원) for unlimited diagnoses (targeted at real estate agents)

Ecosystem Role: Consumer

MVP Estimate: 2_weeks

NUMR-V Scores

N Novelty

2.0/5

U Urgency

5.0/5

M Market

5.0/5

R Realizability

3.0/5

V Validation

4.0/5

NUMR-V Scoring System

N Novelty	1-5	How uncommon the service is in market context.
U Urgency	1-5	How urgently users need this problem solved now.
M Market	1-5	Market size and growth potential from proxy indicators.
R Realizability	1-5	Buildability for a small team with realistic constraints.
V Validation	1-5	Validation signal quality from competition and demand data.

SaaS N=.15 U=.20 M=.15 R=.30 V=.20 Senior N=.25 U=.25 M=.05 R=.30 V=.15

Feasibility (66%)

Tech Complexity

29.3/40

Data Availability

17.1/25

MVP Timeline

20.0/20

API Bonus

0.0/15

Feasibility Breakdown

Tech Complexity	/ 40	Difficulty of core implementation stack.
Data Availability	/ 25	Practical availability and cost of required data.
MVP Timeline	/ 20	Expected time to ship a usable MVP.
API Bonus	/ 15	Bonus for viable public API leverage.

Market Validation (60/100)

Competition

8.0/20

Market Demand

6.2/20

Timing

18.0/20

Revenue Signals

10.5/15

Pick-Axe Fit

10.5/15

Solo Buildability

7.0/10

Validation Breakdown

Competition	/ 20	Signal quality from competitor landscape.
Market Demand	/ 20	Demand proxies from search and mention patterns.
Timing	/ 20	Fit with current shifts in tech, behavior, and regulation.
Revenue Signals	/ 15	Reference evidence for monetization viability.
Pick-Axe Fit	/ 15	How well the concept serves participants in a trend.
Solo Buildability	/ 10	Practicality for lean-team implementation.

Technical Requirements

Data Pipeline [medium] Backend [medium] Frontend [low]

Dashboard