B
Historical Fact-Check API
2.65
Derivation Chain
Step 1
Popularization of ancient DNA research
→
Step 2
Surge in historical content production
→
Step 3
Historical content fact-checking Infrastructure
Problem
Content creators producing historical content on YouTube, blogs, and web novels (estimated 50,000+ in Korea) are rapidly growing, but lack expertise in historical fact verification. Content with inaccurate historical information leads to comment controversies and subscriber churn, and creators spend 2–4 hours per piece of content searching primary sources for pre-verification.
Solution
Vector-indexes Korean historical sources (Samguk Sagi, Annals of the Joseon Dynasty, Seungjeongwon Ilgi, etc.) and the latest academic databases, and provides a REST API that returns source references and match scores when historical statements are submitted. Also provides an embeddable widget for inserting a 'Verified' badge into content.
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 (70%)
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 (51/100)
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 [medium]
Frontend [low]