B
Politician Statement Fact-Check API
2.75
Derivation Chain
Step 1
Recurring politician credibility issues such as the Kim Nam-kook influence-peddling controversy
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Step 2
Media/civic organization fact-checking demand
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Step 3
Politician statement history search and contradiction detection API for media fact-check teams
Problem
Online news outlets and civic fact-checking organizations (1–10 people) spend 2–4 hours per case manually cross-referencing National Assembly transcripts, news articles, and social media to verify contradictions between politicians' past and present statements. Timeliness is critical for fact-check articles, but slow verification frequently causes them to miss the issue cycle.
Solution
A search engine with unified indexing of National Assembly transcripts + major news outlet articles + politician social media posts + LLM-based automatic contradiction/consistency analysis between statements + chronological statement evolution timeline visualization, delivered as an API.
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 (57%)
Data Availability
20.4/25
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 (52/100)
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
Backend [medium]
Data Pipeline [high]
Frontend [low]