---
language:
- en
license: openrail
tags:
- cryptocurrency
- blockchain
- address-labeling
- security
- entity-recognition
pretty_name: Codatta Crypto Address Annotations
size_categories:
- 1K<n<10K
task_categories:
- token-classification
---

# Codatta Crypto Address Annotations (Sample)

## Overview

This dataset is a **10,000-row sample** of the comprehensive Codatta Crypto Address Annotations database. The full database serves as a massive repository of over **500 million** labeled address pairs across multiple blockchains.

The data provides critical metadata aimed at solving the problem of fragmented and siloed blockchain information. It includes entity names, functional categories (e.g., Exchanges, DeFi, Scam), and risk assessments. The dataset is curated through a unique hybrid approach that bridges crowdsourced intelligence with standardized open protocols:

* **Codatta Platform:** Aggregates data from a decentralized data intelligence network, verified by a community of contributors.
* **Microscope Protocol:** Utilizes an open-source initiative for collaborative crypto address labeling to ensure high fidelity and standardization.

## Dataset Contents

The dataset contains structured metadata for crypto addresses. The specific data fields included in this sample are:

* **`chain`** (string): The blockchain network (e.g., `bitcoin`, `ethereum`).
* **`address`** (string): The specific wallet or smart contract address.
* **`name`** (string): The specific label name (e.g., "Binance Deposit Address").
* **`entity`** (string): The entity that owns or controls the address (e.g., "Binance").
* **`category`** (string): Functional classification (e.g., `CEX`, `DeFi`, `Scam`).
    * *Reference:* Full category list available at [Microscope Protocol Categories](https://docs.microscopeprotocol.xyz/onboarding/data/categories).
* **`source`** (string): The origin of the label, such as `ground_truth`, `external`, `heuristics`, or `machine_learning`.

## Key Statistics

While this repository provides a sample for testing, the complete Codatta database covers a massive scale of on-chain entities. Below is the distribution of the full **517.61 Million** labeled pairs.

### 1. Distribution by Chain
*(Total labeled pairs: 517,609,906)*

| Chain | Address Count |
| :--- | :--- |
| **Bitcoin** | 185,818,811 |
| **Polygon** | 129,251,435 |
| **Ethereum** | 107,420,551 |
| **BSC** (BNB Chain) | 61,043,196 |
| **Tron** | 22,055,631 |
| **Optimism** | 4,926,779 |
| **Arbitrum** | 3,488,054 |
| **Avalanche** | 3,369,625 |
| **Base** | 233,495 |

### 2. Distribution by Category (Top Categories)

| Category | Address Count |
| :--- | :--- |
| **Smart Contract** | 235,023,302 |
| **Exchange** | 187,716,225 |
| **Scam** | 24,261,860 |
| **Gambling** | 21,677,685 |
| **Ransom** | 17,991,759 |
| **DeFi User** | 16,825,002 |
| **Bridging User** | 11,516,923 |
| **DEX User** | 7,286,609 |
| **ERC20 Token** | 5,442,026 |
| **Mixer** | 5,186,762 |
| **Wallet** | 2,724,811 |
| **FIAT** | 2,145,036 |
| **Darknet** | 2,110,659 |
| **Sanctioned** | 1,101,861 |

## Usage

This **10k sample** is released publicly to foster research, demonstrate data quality, and allow developers to test data integration.

* **Research & Testing:** Use this sample to evaluate the schema, label accuracy, and coverage for tasks like token classification or entity recognition.
* **Commercial & Advanced Use:** Users interested in accessing the full dataset (500M+ labels) for commercial applications, advanced analytics, or security integration should contact the Codatta team directly.

## License and Open-Source Details

* **License:** This dataset is released under the **OpenRAIL** license.
* **Protocol:** The data structure aligns with the **Microscope Protocol**, an open-source initiative.
    * **Official Website:** [https://microscopeprotocol.net/](https://microscopeprotocol.net/)
    * **Context:** [Microscope: Protocol for Collaboratively Labeling Crypto Addresses (Coinbase Blog)](https://www.coinbase.com/blog/microscope-protocol-for-collaboratively-labeling-crypto-addresses)