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/Index/XRPD, Inc/Blockchain address-attribution data
XI

Blockchain address-attribution data

XRPD, INCManage supplier listing

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.

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XRPD, Inc/Blockchain address-attribution data
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Coverage

Universe, instruments and categories.

Industry
Data & Processing ServicesFinancial Technology
Instruments
cryptoequities
Categories
AlternativeReferenceESG
Regions
US
Sample tickers
COINHOODCRCLRPDMSTR
Dataset card
Type
not stated
Format
Tabular address-to-entity mapping with attribution-evidence grade, entity type (custodial provider, exchange, hosted wallet, individual) and supporting documentation references; supported by on-chain behavioural features per address. Delivered as investigative/attribution output rather than a downloadable file, per the site's framing
Volume
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
Users
N/A — a 4-employee investigative-tooling company serving law enforcement, compliance and forensic professionals; users are licensed seats or contracted agency customers, not registered consumers, and no counts are published
History
not stated
Update frequency
not stated
Growth
Active but early — the company is publishing current investigative-methodology content and maintains a live site, while the contact record shows 4 employees and no funding history, indicating an operating micro-business rather than a scaled or declining one
Launched
~2023-2025 — inferred from a company record with no funding history and 4 employees, combined with content addressing post-2022 exchange-collapse attribution concerns; no founding year or dating signal was retrievable on the fetched page
Delivery
not stated
Entity mapping
not stated
Sample
not stated
Point-in-time
not stated
Licence
not stated

supplier index read from their site

XRPD, Inc has not added their own details yet. Not yet on file:

  • Dataset
  • Data dictionary
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  • Provenance
  • Rights & data handling