Investigation

How Inca Supports Stablecoin Issuers in Identifying and Managing Risks

In this first installment of our “Inca Use Case” series, we examine how Inca supports stablecoin issuers in identifying and addressing emerging risks.

Stablecoins are reshaping the payments landscape by enabling faster, more reliable transactions at a global scale. As adoption accelerates, so do the associated risks. Inca Digital delivers actionable risk intelligence to help issuers manage these risks, maintain regulatory compliance, and foster secure, sustainable innovation.

In this first installment of our “Inca Use Case” series, we examine how Inca supports stablecoin issuers in identifying and addressing emerging risks.

Inca Digital Aggregates Data to Provide Ecosystem Intelligence

Inca Digital ingests data from a wide range of sources to deliver ecosystem risk intelligence to stablecoin issuers. To help monitor risks associated with stablecoins, Inca collects real-time trading data from both centralized and decentralized exchanges, scans the dark web for stablecoin related mentions, aggregates on-chain activity, and monitors social media for emerging trends and threats.

Stablecoin issuers access this data through tailored threat intelligence reports and custom real-time dashboards, focused on impersonation token monitoring and geolocation analysis.

Impersonation Token Monitoring

Inca Digital monitors for impersonation tokens targeting stablecoins across top blockchains and exchanges. Impersonation tokens are designed to resemble legitimate stablecoins by imitating their names, symbols, and branding elements in order to deceive users. Impersonation tokens not only expose users to financial loss but also present significant reputational and regulatory risks for stablecoin issuers. By identifying these threats early, Inca supports issuers in strengthening consumer protection, ensuring regulatory alignment, and preserving confidence while trading.

Our tools identify suspicious contracts mimicking stablecoins by analyzing token names, metadata, and trading patterns. After identifying an impersonation token, we initiate takedown requests to help prevent users from interacting with or trading impersonation tokens. By preemptively eliminating these threats through takedown requests, Inca helps prevent users from being misled or defrauded, preserving user trust and ensuring a safer experience.

Geolocation Analysis

Inca Digital provides geolocation analysis to help stablecoin issuers understand where their stablecoin is being used. By tracking the geographic distribution of social media engagement using a variety of NLP techniques, we identify where conversations around a stablecoin are emerging and gaining momentum 1 2.

This data helps issuers detect regional risk signals, monitor cross-border adoption trends, and shape compliance and market entry strategies. Whether it’s a spike in interest from high-risk jurisdictions or growing traction in strategic markets, Inca’s geolocation insights enable proactive, data-driven decision making.

Threat Intelligence Reports

Inca Digital delivers routine threat intelligence reports to help stablecoin issuers detect anomalies, identify emerging risks, and uncover market inefficiencies around their stablecoin. These reports include detailed insights into holder distributions across Ethereum and Solana, DEX activity such as liquidity, trading, and lending metrics, and CEX data tracking exchange-specific holdings and volume.

By combining these analytics, Inca equips issuers with the intelligence needed to manage risk, monitor adoption patterns, and proactively address threats to market integrity and ecosystem trust.

About Inca Digital

Founded in 2017, Inca Digital provides comprehensive data analytics, intelligence, and risk management solutions to global crypto and financial industries, with a focus on security, transparency, and actionable insights.

To learn more about Inca Digital can help stablecoin issuers stay secure and compliant in the face of digital threats, visit us at inca.digital.

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