LedgerLens ingests transaction events, runs a rule-based risk engine, and turns anomalies into evidence-backed findings your team can act on — for gaming, fintech, ecommerce, and wallet platforms.
1.24M
Events monitored
37
Open findings
$48.2M
Volume tracked
21.4
Avg risk score
The problem
The solution
Ingest events from any source, score them against a transparent rule set, and give analysts the evidence to act in seconds.
Use cases
Architecture
A Next.js App Router frontend deploys on Vercel. Server actions and route handlers run the risk engine and persist a normalized relational model to Amazon Aurora PostgreSQL — the required AWS database — for durability and scale.
Pricing