B

Crypto Sanctions Screener

3.15

Derivation Chain

Step 1 Binance Iran sanctions violation firing incident
→
Step 2 Growing sanctions compliance demand at crypto exchanges
→
Step 3 Sanctions screening automation SaaS for small-to-mid-size exchanges/fintechs

Competitor references

No usable source links are available for this idea. Its signal notes and scores need independent verification.

Problem

Korean Virtual Asset Service Providers (VASPs), required by the Special Financial Transactions Act to perform sanctions screening, must manually cross-reference OFAC/UN/EU sanctions lists. Global sanctions lists are updated 2-3 times per week, and mid-size exchanges processing 10,000+ transactions per month need 1-2 dedicated staff. Non-compliance risks business suspension and penalties.

Solution

When cryptocurrency wallet addresses and transaction records are connected via API, the system: (1) performs real-time matching against OFAC/UN/EU/Korea Financial Services Commission sanctions lists, (2) detects indirectly connected (2-hop) risky addresses through blockchain on-chain analysis, (3) auto-generates STR (Suspicious Transaction Report) drafts compliant with the Special Financial Transactions Act. Auto-rescans and alerts when sanctions lists are updated.

Target: Small registered VASPs (5-20 employees), fintech startups with cryptocurrency payment integrations, VASP compliance consultants
Revenue Model: API usage-based: 1,000 transactions/month base at ~$75, ~$0.08 per additional transaction, Enterprise at ~$370/mo (unlimited + auto STR generation + dedicated support)
Ecosystem Role: Regulation
MVP Estimate: 2_weeks

NUMR-V Scores

N Novelty
2.0/5
U Urgency
5.0/5
M Market
3.0/5
R Realizability
2.0/5
V Validation
4.0/5
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.
N=.15 U=.20 M=.15 R=.30 V=.20

Feasibility (64%)

Tech Complexity
29.3/40
Data Availability
15.0/25
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 (58/100)

Competition
8.0/20
Market Demand
6.2/20
Timing
16.0/20
Revenue Signals
10.5/15
Pick-Axe Fit
12.0/15
Solo Buildability
5.0/10
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

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