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Korean SaaS Startups (3–20 employees) integrating AI APIs risk having their services fall into terms-of-service violations when AI providers (OpenAI, Anthropic, Google, etc.) update their ToS or Acceptable Use Policies unnoticed. This can lead to API access revocation or legal disputes. Legal and planning staff spend 8–12 hours/month monitoring terms, yet frequent changes (4–8 times/year) make comprehensive tracking difficult.
Automatically monitors ToS, AUP, and privacy policy pages of major AI providers, detects changes, summarizes updates in Korean, and cross-checks against the user's registered service type for compliance. Sends alerts for any flagged violation risks.
| 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. |
| 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. |
| 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. |