B

Public Data Reuse Reporter

3.30

Derivation Chain

Step 1 Korea's #1 digital government ranking + underdeveloped public data reuse framework
→
Step 2 Public data reuse consulting
→
Step 3 Automated public data usage reporting SaaS

Competitor references

No usable source links are available for this idea. Its signal notes and scores need independent verification.

Problem

Although Korea achieved #1 in digital government rankings, its public data reuse framework remains a challenge. Startups (3-15 employees) that utilize public data must submit quarterly usage reports, spending 15-20 hours per quarter manually aggregating API call logs and writing reports. Reporting formats vary by government agency, leading to frequent omissions and errors.

Solution

Automatically collects public data API call logs by linking data.go.kr API keys, and auto-generates usage reports formatted to each agency's standard template. Also provides automated data quality issue detection (response error rates, latency) and agency feedback submission features.

Target: PMs and development leads at Startups with 3-15 employees operating public data-based services
Revenue Model: SaaS monthly flat rate of 49,000 KRW (~$37)/team (5 API keys included). Additional API keys at 5,000 KRW (~$3.75)/month each. 20% discount for annual billing
Ecosystem Role: Infrastructure
MVP Estimate: 2_weeks

NUMR-V Scores

N Novelty
3.0/5
U Urgency
3.0/5
M Market
3.0/5
R Realizability
4.0/5
V Validation
3.0/5
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.
Each dimension is scored 1-5 and weighted into grade S/A/B/C/D.
N=.15 U=.20 M=.15 R=.30 V=.20

Feasibility (75%)

Tech Complexity
34.7/40
Data Availability
20.6/25
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.
Total 100 points; below 50% is filtered out.

Market Validation (55/100)

Competition
8.0/20
Market Demand
9.4/20
Timing
14.0/20
Revenue Signals
7.5/15
Pick-Axe Fit
9.0/15
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.
Total 100 points; below 50 is filtered out.

Technical Requirements

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