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.
NUMR-V Scores
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 (73%)
Data Availability
18.8/25
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 (59/100)
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
AI/ML [medium]
Backend [low]
Frontend [low]