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During major concert ticket releases (e.g., BTS Gwanghwamun), proxy booking agents and macro bots seize seats, blocking legitimate buyers. Ticketing platform operators (Interpark, Melon Ticket, etc.) lack the resources to develop in-house bot detection, incurring tens of thousands of dollars in CS surge and brand damage response costs per event.
An SDK embedded in ticketing pages that analyzes click patterns, session speed, and device fingerprints in real time to flag and block suspected bot/proxy booking sessions via API. A dashboard displays detection rates, false positive rates, and block logs, with pre-event risk score calculation. Core features: (1) Real-time bot/proxy detection via behavioral analysis, (2) Block API with configurable thresholds, (3) Per-event risk scoring and post-event analytics.
| 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. |