Blockscout.ai - Attribution Data Dictionary

Blockscout.ai

Your Cryptocurrency Identity Attributions and Data Partner

VASP Entity Explorer Data Dictionary

This section details the fields and structure for the VASP Entity Explorer.

Entity Data Dictionary Table

Column Name Description Data Type Example Values Notes
parent_id Parent entity (e.g., Block is parent of CashApp). STRING block_xyz Uniquely identifies parent company.
entity_id Unique identifier for the entity in the database. STRING cash_app Uniquely identifies each entity.
url The URL associated with the entity. STRING https://example.com Ensure it is a valid URL.
proper_name Official name of the entity. STRING Bitso, Coinbase
entity_type Type of entity (e.g., exchange, wallet, project). STRING Exchange, Wallet Classifies the type of entity.
contact_phone Contact phone number of the entity. STRING +1 800 123 4567 International format is preferred.
contact_address Physical address for contacting the entity. STRING 1234 Example Street, City, Country
contact_email Contact email address. STRING support@example.com Use a general or support email if available.
contact_telegram Telegram handle or contact link. STRING @example_support Format as a Telegram handle.
contact_twitter Twitter handle or link. STRING @example_twitter Ensure it is a valid handle (e.g., @company).
logo Link to the logo image. STRING https://example.com/logo.png Must be a direct link to the image.
year_founded The year the entity was founded. INTEGER 2012, 2015 Full year format (e.g., 2022).
social_media_profile (1–4) URL to social media profiles. STRING https://facebook.com/example Use relevant platforms.
description_merged Combined description of the entity. STRING “Example is a cryptocurrency exchange...” Comprehensive background info.
ticker The trading ticker symbol, if applicable. STRING BTC, ETH Used in financial markets or assets.
entity_tag1entity_tag6 Tags or keywords describing the entity’s focus. STRING Cryptocurrency, Blockchain, Wallet... For categorization or grouping.
associate_country_1associate_country_6 Countries associated with the entity. STRING United States, UK, Australia... Standardized country name or code.
founders Names of the founders. STRING John Doe, Jane Smith
ceo Name of the CEO or leader. STRING Alice Johnson, Bob White
blockscout_balance_btc The BTC held by the company (BlockScout identified addresses). FLOAT 1442.23243444 Cumulative amount BlockScout has identified.
reported_balance_btc The BTC held by the company (self-reported). FLOAT 1442.23243444 BTC amount as reported by the entity.

Bitcoin Identity Attribution Data Dictionary

This section details the fields and structure for Bitcoin transaction attributions.

Attributed Addresses

Column Name Description Data Type Example Values Notes
addr BTC Address STRING bc1qxy2kgdygjrsqtzq2n0yrf2493p83kkfjhx0wlh Standard Bitcoin address format.
entity Blockscout Entity ID STRING block_xyz Unique BlockScout Entity ID.
beneficial_owner Identified or inferred beneficial owner of the address, if known. STRING satoshi_nakamoto Uniquely identifies owner within clusters.
custodian Entity or service that manages the address on behalf of others. STRING coinbase_custody Custodial entity managing the address.
tags/labels Descriptive labels or categories applied to the address. STRING ARRAY ["darknet", "centralized exchange"] Descriptive categories.
is_ofac_sanctioned Boolean flag indicating whether the address is sanctioned. BOOLEAN TRUE / FALSE Sanction status.

Attributed Transactions

Column Name Description Data Type Example Values Notes
txid Transaction ID (TXID) of the Bitcoin transaction. STRING 4a5e1e4baab89f3a32518a88bbd... Bitcoin transaction hash.
timestamp The timestamp of when the transaction was confirmed. TIMESTAMP 2024-02-15 14:30:00 UTC Block confirmation time.
is_coinjoin Boolean flag indicating whether the transaction is a CoinJoin. BOOLEAN TRUE / FALSE CoinJoin status.
block Block number in which the transaction was confirmed. INTEGER 783456 Containing block number.
fee_amt Transaction fee in satoshis. BIGINT 12000 Fee in satoshis.
src_addrs List of Bitcoin source addresses (inputs). STRING ARRAY ["bc1qxyz...", "1A1zP1eP5QGef..."] Input addresses.
src_entity BlockScout Entity ID for the source addresses. STRING block_xyz Source entity ID.
src_amt Total amount from source addresses in satoshis. BIGINT 5000000000 Total input amount.
dst_addr Bitcoin destination address (output). STRING 1A1zP1eP5QGefi2DMPTfTL5SLmv7... Destination address.
dst_entity BlockScout Entity ID for the destination address. STRING coinbase_com Destination entity ID.
dst_amt Amount received at the destination address in satoshis. BIGINT 4999880000 Total received amount.

Entities

Column Name Description Data Type Example Values Notes
entity_id Unique BlockScout Entity ID. STRING coinbase_com Unique identifier.
name Proper name of the entity. STRING Coinbase Entity name.
tags Categorization of the entity. STRING ARRAY ["centralized exchange", "custodian"] Entity category.

Entity Financials

Column Name Description Data Type Example Values Notes
entity_id Unique BlockScout Entity ID. STRING coinbase_com Unique identifier.
addrs List of known Bitcoin addresses associated with the entity. STRING ARRAY ["bc1qxyz...", "1A1zP1eP5QGef..."] Linked Bitcoin addresses.
input_amt Total BTC received by the entity in satoshis. BIGINT 500000000000 Total BTC received.
output_amt Total BTC sent by the entity in satoshis. BIGINT 490000000000 Total BTC sent.
balance Current estimated BTC balance of the entity in satoshis. BIGINT 10000000000 BTC balance.
tx_cnt Total number of transactions associated with the entity. INTEGER 125644 Transaction count.

Discover a one-stop resource for comprehensive insights into virtual asset service providers (VASPs), Bitcoin attributions, and the broader spectrum of crypto-adjacent businesses.

From centralized exchanges and DeFi platforms to Bitcoin transaction networks, perpetual futures, ordinals, and darknet markets, this dataset delivers both mission-critical compliance data and forward-looking market intelligence. Whether you’re mitigating AML/CFT risks, tracing blockchain flows, or conducting sophisticated market research, the dataset’s granular entity metadata and transaction details empower you to proactively identify threats, monitor institutional activities, and stay ahead in a rapidly evolving crypto landscape.