Address Labeling
Address labeling is associating blockchain addresses with entities, services, or behaviors using disclosures, heuristics, and curated intelligence to support monitoring and investigations.
Glossary
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Address labeling is associating blockchain addresses with entities, services, or behaviors using disclosures, heuristics, and curated intelligence to support monitoring and investigations.
An address risk score is an estimate of how risky a wallet address may be based on transaction history, counterparties, labels, and other compliance signals.
An agent is software that can plan, choose actions, and work toward a goal with some autonomy.
An allowlist is a set of approved addresses, users, or actions that are allowed to proceed.
Anomaly detection is identifying activity that deviates from expected patterns, such as sudden flow spikes or atypical contract interactions, to trigger investigation or safeguards.
An audit log records important events, decisions, and changes so operators can review what happened and when.
An audit trail records an agent's inputs, decisions, tool calls, and outputs for later review.
Batching groups multiple requests so a model can process them together more efficiently.
Collateral is an asset pledged to back a loan, position, or stablecoin issuance, reducing counterparty risk.
A collateral factor is the percentage of an asset's value that a lending protocol allows users to borrow against, reflecting liquidity and risk assumptions.
The collateral ratio compares the value of pledged assets with the debt they secure.
Concentration risk is the danger of relying too heavily on one asset, issuer, or venue.
A content credential is metadata that helps describe the origin, editing history, or authenticity claims attached to digital content.
A contract approval lets a smart contract move a user's tokens up to an allowed amount.
Custody is the safekeeping of assets by an owner or a trusted service.
Data availability means the information needed to verify or reconstruct blockchain activity can be accessed by participants.
Data provenance records where data came from and how it was collected, transformed, or used.
Dataset lineage tracks where a dataset came from, how it was transformed, and which versions or sources contributed to it.
A depeg is when a stablecoin moves away from its intended reference value.
An eval suite is a structured set of tasks, datasets, and scoring rules used to measure whether a model or agent meets quality targets after prompts, tools, or models change.
An exposure limit sets the maximum amount of capital or risk that can be put at stake.
GPU utilization measures how much of a graphics processor's available compute capacity is being used by workloads.
A guardrail is a rule or control designed to keep an AI system's outputs or actions within defined safety and quality limits.
A health factor is a risk score that shows how far a borrowing position is from liquidation.