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Digital asset risk management for professional investors

Asset management funds, banks, brokers, and other professional investors require scalable and verifiable risk scores for decision-making. Internal spreadsheets and manual due diligence don’t scale, aren’t comparable across entities, and cannot be continuously monitored.
CORE3 provides a standardized Probability of Loss (PoL) framework — unbiased, shared, and data-driven institutional-grade metric that reflects a project’s risk exposure on a scale from 0 (Exceptional) to 100 (Critical risk). that institutions can operationalize across portfolios, counterparties, and jurisdictions.

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Use cases for institutional digital asset risk management

Listing and whitelisting frameworks

Run PoL assessments across entities to build defensible listing criteria. PoL scores are deterministic, methodology-driven, and auditable — making them suitable for internal governance and compliance review.

Risk limits and portfolio constraints

Use PoL data to set exposure thresholds, define portfolio risk limits, and establish counterparty boundaries. The six-domain methodology covers security, financial, operational, reputational, regulatory, and dependency risks — giving a full risk surface rather than a single-axis score.

Counterparty due diligence

Replace one-time assessments with continuous PoL monitoring using CORE3’s crypto analytics tools. CORE3’s methodology consists of 98 metrics and sub-metrics updated at different intervals, ensuring the risk signal stays current rather than decaying between review cycles.

Crypto compliance and regulatory readiness

PoL methodologies are publicly documented, versioned, and audit-ready. Regulators and compliance teams can trace any score back to its inputs, weights, and logic. This supports regulatory oversight, benchmarking, and reporting requirements.

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API-based integration and alerting

API is not available in the pilot phase, but will be launched with CORE3 release in Q2 2026
CORE3 APIs provide programmatic access to PoL data, ratings, and associated metadata. Access levels, data scope, and rate limits are tied to subscription tiers — designed for institutional integrations, automated decision systems, and third-party analytical tools.

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Why institutions choose CORE3 over alternatives

Over data dashboards and analytics platforms: Great data, but no standardized interpretation and not a decision-grade risk metric. CORE3 turns raw signals into a comparable, methodology-backed index.