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XRPD, Inc — Blockchain address-attribution data: labels linking on-chain addresses to real-world entities, in particular the distinction between an exchange or custodial service provider's deposit address and an ordinary individual's wallet. The published methodology describes a four-signal evidence model that the underlying dataset must implement: behavioural clustering over time (high inbound volume from unrelated senders, automated sweeping of deposits into consolidation wallets, and related deposit-address patterns), an explicit evidence hierarchy ranking corroborating sources, and legal …
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Blockchain address-attribution data: labels linking on-chain addresses to real-world entities, in particular the distinction between an exchange or custodial service provider's deposit address and an ordinary individual's wallet. The published methodology describes a four-signal evidence model that the underlying dataset must implement: behavioural clustering over time (high inbound volume from unrelated senders, automated sweeping of deposits into consolidation wallets, and related deposit-address patterns), an explicit evidence hierarchy ranking corroborating sources, and legal verification to a standard defensible in an affidavit or court filing. The asset is therefore a curated, evidence-graded ground-truth table of address-to-entity assignments with confidence tiers, oriented to law-enforcement and compliance consumers (state and local investigators, fraud examiners, compliance reviewers) who need to know whether a subpoena and preservation notice against an exchange is the correct next step. Public fraud-report context is referenced via the FBI Internet Crime Complaint Center.
Coverage Information Technology · FinancialsAsset class Crypto · EquitiesTickers COIN · HOOD · CRCL
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XRPD, Inc — Blockchain address-attribution data: labels linking on-chain addresses to real-world entities, in particular the distinction between an exchange or custodial service provider's deposit address and an ordinary individual's wallet. The published methodology describes a four-signal evidence model that the underlying dataset must implement: behavioural clustering over time (high inbound volume from unrelated senders, automated sweeping of deposits into consolidation wallets, and related deposit-address patterns), an explicit evidence hierarchy ranking corroborating sources, and legal …
XRPD, Inc offers (Alternative, Reference, ESG) — Attribution coverage is not quantified anywhere on the site. Structurally the dataset is an address-to-entity table with behavioural features per address; a serious attribution corpus runs to millions of labelled addresses, but nothing here evidences that scale, and the honest read given a 4-person firm is a curated high-confidence corpus of thousands to low hundreds of thousands of graded attributions rather than a mass-labelled set.
Criminal and civil investigation support where mislabeling an address can weaken a court filing; compliance and sanctions screening to establish whether a counterparty address is a regulated custodian; exchange fraud-report triage and victim-restitution workflows; subpoena and preservation-notice targeting for legal teams; AML transaction-monitoring enrichment that distinguishes platform infrastructure from user wallets; and blockchain forensics features for financial institutions — plus investor-facing signal on which platforms control which on-chain clusters
Coverage spans US; Data & Processing Services, Financial Technology; alternative, reference, ESG; crypto, equities.
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