B

Public Data Reprocessing Quality Certification SaaS

3.00

Derivation Chain

Step 1 Digital Government Leadership & Public Data Reuse Challenge
→
Step 2 Public Data Reuse Operators
→
Step 3 Reprocessed Data Quality Standardization Tool

Problem

Approximately 800 Startups that reprocess public data to build B2B services lack a standard to prove data quality. At the PoC stage, they spend 2-3 weeks on manual sampling every time a client asks 'what is the accuracy percentage of this data?' In particular, there is no way to document whether gaps, delays, and format inconsistencies in the original public data were corrected during reprocessing, keeping enterprise client conversion rates below 30%.

Solution

The service provides automated diff analysis between public data originals and reprocessed outputs, automatic scoring across 7 criteria including missing data rate, freshness, and format consistency, plus certification badge and Report PDF generation — enabling client-ready quality documentation in under 5 minutes.

Target: Public data-based B2B SaaS Startups (3-15 employees, Seed to Series A stage)
Revenue Model: SaaS Monthly Subscription $37/project, 20% discount for annual payment. Certification badge issuance $3.75 per badge additional.
Ecosystem Role: Infrastructure
MVP Estimate: 2_weeks

NUMR-V Scores

N Novelty
4.0/5
U Urgency
3.0/5
M Market
2.0/5
R Realizability
3.0/5
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.
SaaS N=.15 U=.20 M=.15 R=.30 V=.20 Senior N=.25 U=.25 M=.05 R=.30 V=.15

Feasibility (70%)

Tech Complexity
29.3/40
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 (53/100)

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

Technical Requirements

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