A

Public Data Monetization Legal Guide

4.05

Derivation Chain

Step 1 Public data-powered island expo
Step 2 Commercial use of public data
Step 3 Auto-diagnosis of Legal risks in public data reprocessing/resale

Problem

Startups building SaaS products using public data spend $375-$1,500 (50-200만원) per consultation on legal advice because they cannot determine compliance with terms of use, copyright, and privacy laws. Incorrect assessments can lead to Legal disputes that risk service suspension for an average of 6 months after launch.

Solution

Users input the public data source, usage terms, and reprocessing scope to receive automated risk assessments against relevant laws (Public Data Act, Copyright Act, Personal Information Protection Act). The system provides risk grades (Safe/Caution/Danger) and specific action items in a Report.

Target: Public data-based SaaS Startups (1-10 employees), teams commercializing public data competition-winning projects
Revenue Model: Per Transaction assessment $29, Monthly Subscription $74 (unlimited assessments + legal update alerts)
Ecosystem Role: Regulation
MVP Estimate: 2_weeks

NUMR-V Scores

N Novelty
4.0/5
U Urgency
5.0/5
M Market
3.0/5
R Realizability
4.0/5
V Validation
4.0/5
NUMR-V Scoring System
N Novelty1-5How uncommon the service is in market context.
U Urgency1-5How urgently users need this problem solved now.
M Market1-5Market size and growth potential from proxy indicators.
R Realizability1-5Buildability for a small team with realistic constraints.
V Validation1-5Validation 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 (73%)

Tech Complexity
34.7/40
Data Availability
18.8/25
MVP Timeline
20.0/20
API Bonus
0.0/15
Feasibility Breakdown
Tech Complexity/ 40Difficulty of core implementation stack.
Data Availability/ 25Practical availability and cost of required data.
MVP Timeline/ 20Expected time to ship a usable MVP.
API Bonus/ 15Bonus for viable public API leverage.

Market Validation (59/100)

Competition
8.0/20
Market Demand
9.4/20
Timing
14.0/20
Revenue Signals
10.5/15
Pick-Axe Fit
10.5/15
Solo Buildability
7.0/10
Validation Breakdown
Competition/ 20Signal quality from competitor landscape.
Market Demand/ 20Demand proxies from search and mention patterns.
Timing/ 20Fit with current shifts in tech, behavior, and regulation.
Revenue Signals/ 15Reference evidence for monetization viability.
Pick-Axe Fit/ 15How well the concept serves participants in a trend.
Solo Buildability/ 10Practicality for lean-team implementation.

Technical Requirements

AI/ML [medium] Backend [low] Frontend [low]
Dashboard