Readme.md

---
license: agpl-3.0
language:
- en
tags:
- finance
- code
- solana
- solfunmem
- zero-ontology-system
- zos
- lean
- json
pretty_name: solfunmeme
size_categories:
- n>1T
size_categories_planned:
- n>1M
size_categories_notes: We will have many more transactions
---

# SOLFUNMEME Transaction Cache Dataset

Welcome to the SOLFUNMEME Transaction Cache Dataset hosted on Hugging Face! This repository contains a curated collection of JSON caches derived from Solana blockchain RPC queries for the SOLFUNMEME (SFM) token (BwUTq7fS6sfUmHDwAiCQZ3asSiPEapW5zDrsbwtapump). The dataset encapsulates transaction metadata, token balance changes, and program interactions, providing a robust resource for exploring the trading dynamics, decentralized finance (DeFi) patterns, and community-driven meme propagation of SFM within the Solana ecosystem.

## Dataset Description

The SOLFUNMEME Transaction Cache Dataset is a structured archive of Solana transaction data designed to support research, development, and community engagement with the SFM token, a key element of the Zero Ontology System (ZOS). ZOS is a pioneering framework that blends meme coin mechanics with decentralized governance, self-hosted agents, and zero-knowledge machine learning (ZKML) on Solana’s high-throughput blockchain. 

The dataset abstracts raw transaction data into JSON files, enabling users to:
- Analyze trading activities, such as buy and sell transactions, on platforms like Raydium.
- Investigate SFM’s tokenomics, liquidity trends, and market behavior.
- Apply formal verification techniques (e.g., Lean-based proofs) to ensure transaction integrity.
- Explore the social and economic dynamics of meme propagation within the SOLFUNMEME community.
- Inform the development of ZOS-based applications, such as decentralized meme engines or trading bots.

## Key Features

- **Rich Transaction Metadata**: Captures block times, slots, account balances, token transfers, and program logs for comprehensive analysis.
- **SFM-Centric**: Focuses on the SFM token (BwUTq7fS6sfUmHDwAiCQZ3asSiPEapW5zDrsbwtapump), covering trades, account creations, and token movements.
- **Optimized for Reusability**: Caches Solana RPC responses to reduce query overhead and ensure reproducibility.
- **Verification-Ready**: Structured to integrate with formal methods tools (e.g., Lean) for proving properties like token conservation and balance consistency.
- **Community-Aligned**: Supports the SOLFUNMEME project’s mission to foster decentralized, user-driven meme ecosystems.

## Data Sources

The dataset is generated by querying Solana’s mainnet RPC endpoint (https://api.mainnet-beta.solana.com) using two core methods:
1. **getSignaturesForAddress**: Retrieves transaction signatures for the SFM token address, indexing a wide range of activities, including trades, transfers, and account operations.
2. **getTransaction**: Provides detailed transaction metadata, including:
   - **Timing and Block Data**: Unix timestamps and Solana block heights (slots).
   - **Account Balances**: SOL balances (in lamports) before and after transactions.
   - **Token Balances**: Pre- and post-transaction balances for SFM and other tokens (e.g., Wrapped SOL).
   - **Program Interactions**: Execution logs from programs like Raydium AMM, SPL Token Program, System Program, and Compute Budget Program.
   - **Instructions**: Details of transaction instructions and nested inner instructions (e.g., token transfers within swaps).

## Dataset Contents

The dataset is organized as follows:

### rpc_cache/
- **method_getSignaturesForAddress_address_BwUTq7fS6sfUmHDwAiCQZ3asSiPEapW5zDrsbwtapump_[hash].json**: Lists transaction signatures associated with the SFM token, serving as an index for further exploration.
- **method_getTransaction_signature_[signature].json**: Contains detailed transaction data, including metadata, balance changes, and program logs.
- **temp_*.json and temp_*.txt**: Temporary files storing request payloads, responses, and error logs for debugging and transparency.
- **README.md**: This file, providing an overview, usage instructions, and context.
- **LICENSE**: Specifies the terms of use for the dataset (e.g., MIT License).

## Data Structure

Each JSON file adheres to the Solana JSON-RPC 2.0 format, with key fields optimized for analysis:
- **result.blockTime**: Unix timestamp of the transaction.
- **result.slot**: Solana block height.
- **result.meta.preBalances** and **result.meta.postBalances**: SOL balances (in lamports) for accounts before and after the transaction.
- **result.meta.preTokenBalances** and **result.meta.postTokenBalances**: Token balances for SFM and other tokens, with fields:
  - **accountIndex**: Index in the transaction’s account list.
  - **mint**: Token mint address (e.g., BwUTq7fS6sfUmHDwAiCQZ3asSiPEapW5zDrsbwtapump for SFM).
  - **uiTokenAmount.amount**: Token amount in smallest units.
  - **uiTokenAmount.uiAmountString**: Human-readable amount.
- **result.meta.logMessages**: Program execution logs, identifying interactions with Raydium, Token Program, etc.
- **result.transaction.message.instructions**: Instructions executed, including program IDs and account indices.
- **result.transaction.message.addressTableLookups**: Address table lookups for additional account resolution.

## Potential Use Cases

This dataset enables a range of applications:
- **Trading Pattern Analysis**: Identify buy and sell transactions by examining token balance changes, supporting studies of market dynamics and investor behavior.
- **Tokenomics Research**: Analyze SFM’s supply, liquidity, and trading volume to understand its role in the Solana meme coin ecosystem.
- **Formal Verification**: Use with Lean or other formal methods tools to prove transaction properties, such as non-negative balances or token conservation.
- **Community Mapping**: Study wallet interactions to uncover patterns of engagement within the SOLFUNMEME community, aligning with ZOS’s meme propagation goals.
- **DeFi Innovation**: Inform the development of ZOS-based tools, such as decentralized agents, trading algorithms, or governance mechanisms.
- **Educational Exploration**: Learn about Solana’s transaction model, DeFi protocols, and the intersection of blockchain and meme culture.

### Example Use Case: Identifying Trading Activity

A common use case is analyzing SFM trading activity on Raydium. For instance, a transaction might show an account gaining SFM tokens (indicating a buy) in exchange for Wrapped SOL, with the Raydium AMM program facilitating the swap. By comparing `preTokenBalances` and `postTokenBalances`, users can quantify token movements and correlate them with market trends or community activity.

## How to Use the Dataset

### Prerequisites
- Proficiency in JSON processing (e.g., Python, JavaScript, or Rust).
- Basic understanding of Solana’s transaction structure and DeFi concepts.
- Optional: Lean environment for formal verification or dataset extension.

### Getting Started
1. **Clone or Download the Repository**:
   ```bash
   git clone https://huggingface.co/[your-username]/solfunmeme-transaction-cache
   cd solfunmeme-transaction-cache

   Here is the reformatted Markdown with proper heading levels:

```markdown
# SOLFUNMEME Transaction Cache Dataset

Welcome to the SOLFUNMEME Transaction Cache Dataset hosted on Hugging Face! This repository contains a curated collection of JSON caches derived from Solana blockchain RPC queries for the SOLFUNMEME (SFM) token (BwUTq7fS6sfUmHDwAiCQZ3asSiPEapW5zDrsbwtapump). The dataset encapsulates transaction metadata, token balance changes, and program interactions, providing a robust resource for exploring the trading dynamics, decentralized finance (DeFi) patterns, and community-driven meme propagation of SFM within the Solana ecosystem.

## Dataset Description

The SOLFUNMEME Transaction Cache Dataset is a structured archive of Solana transaction data designed to support research, development, and community engagement with the SFM token, a key element of the Zero Ontology System (ZOS). ZOS is a pioneering framework that blends meme coin mechanics with decentralized governance, self-hosted agents, and zero-knowledge machine learning (ZKML) on Solana’s high-throughput blockchain. 

The dataset abstracts raw transaction data into JSON files, enabling users to:
- Analyze trading activities, such as buy and sell transactions, on platforms like Raydium.
- Investigate SFM’s tokenomics, liquidity trends, and market behavior.
- Apply formal verification techniques (e.g., Lean-based proofs) to ensure transaction integrity.
- Explore the social and economic dynamics of meme propagation within the SOLFUNMEME community.
- Inform the development of ZOS-based applications, such as decentralized meme engines or trading bots.

## Key Features

- **Rich Transaction Metadata**: Captures block times, slots, account balances, token transfers, and program logs for comprehensive analysis.
- **SFM-Centric**: Focuses on the SFM token (BwUTq7fS6sfUmHDwAiCQZ3asSiPEapW5zDrsbwtapump), covering trades, account creations, and token movements.
- **Optimized for Reusability**: Caches Solana RPC responses to reduce query overhead and ensure reproducibility.
- **Verification-Ready**: Structured to integrate with formal methods tools (e.g., Lean) for proving properties like token conservation and balance consistency.
- **Community-Aligned**: Supports the SOLFUNMEME project’s mission to foster decentralized, user-driven meme ecosystems.

## Data Sources

The dataset is generated by querying Solana’s mainnet RPC endpoint (https://api.mainnet-beta.solana.com) using two core methods:
1. **getSignaturesForAddress**: Retrieves transaction signatures for the SFM token address, indexing a wide range of activities, including trades, transfers, and account operations.
2. **getTransaction**: Provides detailed transaction metadata, including:
   - **Timing and Block Data**: Unix timestamps and Solana block heights (slots).
   - **Account Balances**: SOL balances (in lamports) before and after transactions.
   - **Token Balances**: Pre- and post-transaction balances for SFM and other tokens (e.g., Wrapped SOL).
   - **Program Interactions**: Execution logs from programs like Raydium AMM, SPL Token Program, System Program, and Compute Budget Program.
   - **Instructions**: Details of transaction instructions and nested inner instructions (e.g., token transfers within swaps).

## Dataset Contents

The dataset is organized as follows:
```
.
├── rpc_cache/
│   ├── method_getSignaturesForAddress_address_BwUTq7fS6sfUmHDwAiCQZ3asSiPEapW5zDrsbwtapump_[hash].json
│   ├── method_getTransaction_signature_[signature].json
│   ├── temp_[cacheKey]_request.json
│   ├── temp_[cacheKey]_response.json
│   └── temp_[cacheKey]_error.txt
├── README.md
└── LICENSE
```

### rpc_cache/
- **method_getSignaturesForAddress_address_BwUTq7fS6sfUmHDwAiCQZ3asSiPEapW5zDrsbwtapump_[hash].json**: Lists transaction signatures associated with the SFM token, serving as an index for further exploration.
- **method_getTransaction_signature_[signature].json**: Contains detailed transaction data, including metadata, balance changes, and program logs.
- **temp_*.json and temp_*.txt**: Temporary files storing request payloads, responses, and error logs for debugging and transparency.
- **README.md**: This file, providing an overview, usage instructions, and context.
- **LICENSE**: Specifies the terms of use for the dataset (e.g., MIT License).

## Data Structure

Each JSON file adheres to the Solana JSON-RPC 2.0 format, with key fields optimized for analysis:
- **result.blockTime**: Unix timestamp of the transaction.
- **result.slot**: Solana block height.
- **result.meta.preBalances** and **result.meta.postBalances**: SOL balances (in lamports) for accounts before and after the transaction.
- **result.meta.preTokenBalances** and **result.meta.postTokenBalances**: Token balances for SFM and other tokens, with fields:
  - **accountIndex**: Index in the transaction’s account list.
  - **mint**: Token mint address (e.g., BwUTq7fS6sfUmHDwAiCQZ3asSiPEapW5zDrsbwtapump for SFM).
  - **uiTokenAmount.amount**: Token amount in smallest units.
  - **uiTokenAmount.uiAmountString**: Human-readable amount.
- **result.meta.logMessages**: Program execution logs, identifying interactions with Raydium, Token Program, etc.
- **result.transaction.message.instructions**: Instructions executed, including program IDs and account indices.
- **result.transaction.message.addressTableLookups**: Address table lookups for additional account resolution.

## Potential Use Cases

This dataset enables a range of applications:
- **Trading Pattern Analysis**: Identify buy and sell transactions by examining token balance changes, supporting studies of market dynamics and investor behavior.
- **Tokenomics Research**: Analyze SFM’s supply, liquidity, and trading volume to understand its role in the Solana meme coin ecosystem.
- **Formal Verification**: Use with Lean or other formal methods tools to prove transaction properties, such as non-negative balances or token conservation.
- **Community Mapping**: Study wallet interactions to uncover patterns of engagement within the SOLFUNMEME community, aligning with ZOS’s meme propagation goals.
- **DeFi Innovation**: Inform the development of ZOS-based tools, such as decentralized agents, trading algorithms, or governance mechanisms.
- **Educational Exploration**: Learn about Solana’s transaction model, DeFi protocols, and the intersection of blockchain and meme culture.

### Example Use Case: Identifying Trading Activity

A common use case is analyzing SFM trading activity on Raydium. For instance, a transaction might show an account gaining SFM tokens (indicating a buy) in exchange for Wrapped SOL, with the Raydium AMM program facilitating the swap. By comparing `preTokenBalances` and `postTokenBalances`, users can quantify token movements and correlate them with market trends or community activity.

## How to Use the Dataset

### Prerequisites
- Proficiency in JSON processing (e.g., Python, JavaScript, or Rust).
- Basic understanding of Solana’s transaction structure and DeFi concepts.
- Optional: Lean environment for formal verification or dataset extension.

### Getting Started
1. **Clone or Download the Repository**:
   ```bash
   git clone https://huggingface.co/[your-username]/solfunmeme-transaction-cache
   cd solfunmeme-transaction-cache
   ```

2. **Explore Transaction Data**:
   - Navigate to `rpc_cache/` and inspect `method_getTransaction_signature_*.json` files.
   - Use a script to filter transactions involving the Raydium AMM program (`675kPX9MHTjS2zt1qfr1NYHuzeLXfQM9H24wFSUt1Mp8`).
   - Identify trading activity by checking token balance changes:
     - **Buys**: SFM balance increases for an account.
     - **Sells**: SFM balance decreases.

3. **Example Python Script**:
   See `[read.py]`.

4. **Interpret Findings**:
   - Buys reflect community engagement or investment in SFM’s Hyper-Pump Mechanism.
   - Sells may indicate profit-taking or market adjustments.
   - Aggregate data to derive insights into trading volume, liquidity, or wallet activity.


## Limitations

- **Temporal Scope**: The dataset reflects transactions up to the latest RPC query, typically limited to 1000 signatures per `getSignaturesForAddress` call. Continuous updates are needed for real-time analysis.
- **Liquidity Constraints**: SFM’s low liquidity on Raydium may result in sparse or volatile transaction data, affecting analysis depth.
- **Data Complexity**: Solana’s JSON-RPC responses are detailed and require parsing expertise to extract meaningful insights.
- **Temporary Files**: The `rpc_cache/` directory includes temporary files (`temp_*.json`, `temp_*.txt`) for debugging, which are not primary analysis targets.

## Contributing

We encourage contributions to enhance the dataset’s utility:
1. Fork this repository on Hugging Face.
2. Add new JSON caches, analysis scripts, or improved documentation.
3. Submit a pull request with a clear description of your changes.
4. For code contributions, update the `getSolfunmeme.lean` script on Codeberg and reference this dataset.

Please report issues or suggest features on Codeberg. Verified users (via wallet-signed transactions) can participate in the SOLFUNMEME DAO to shape the project’s future.

## License

This dataset is licensed under the MIT License (`LICENSE`), permitting free use, modification, and distribution, subject to the license terms.

## Contact

Engage with the SOLFUNMEME community:
- **Codeberg**: [https://codeberg.org/introspector/SOLFUNMEME](https://codeberg.org/introspector/SOLFUNMEME) (primary communication channel)
- **Discord**: [https://discord.gg/WASKdrBBzu](https://discord.gg/WASKdrBBzu)
- **Telegram**: [https://t.me/introsp3ctor](https://t.me/introsp3ctor)
- **Twitter (Official)**: [https://x.com/zos_sfm](https://x.com/zos_sfm)
- **Twitter (Developer)**: [https://twitter.com/introsp3ctor](https://twitter.com/introsp3ctor)
- **Website**: [https://solfunmeme.com](https://solfunmeme.com)

## Acknowledgments

- **James Michael DuPont (@introsp3ctor)**: Visionary behind SOLFUNMEME and the Zero Ontology System.
- **Solana Community**: For providing scalable blockchain infrastructure.
- **Lean Community**: For enabling formal verification of transaction data.
- **Hugging Face**: For hosting this open-access dataset.

This dataset empowers users to delve into the SOLFUNMEME ecosystem, uncovering insights into decentralized trading, meme propagation, and the innovative ZOS framework. Start exploring today!