--- language: - en license: cc-by-nc-4.0 pretty_name: "Ethereum On-Chain Signals - Free Sample (10K rows)" size_categories: - 1K **This is a free sample.** The full dataset covers **76M+ signals across 12M+ blocks** on Sepolia alone. Mainnet extraction is underway (genesis-to-tip). Full datasets available at [deltazerolabs.dev](https://deltazerolabs.dev). --- ## What\'s In This Sample | Signal Type | Count | Description | |------------|-------|-------------| | `ERC721_Transfer` | 9,132 | NFT transfers (also includes ERC20 transfers - same topic0) | | `ERC20_Approval` | 707 | Token spend approvals | | `WETH_Deposit` | 55 | ETH to WETH wrapping events | | `Chainlink_AnswerUpdated` | 48 | Oracle price feed updates | | `Arb_Swap_V2` | 17 | Uniswap V2 swaps | | `Arb_Sync_V2` | 14 | Uniswap V2 reserve syncs | | `Arb_Swap_V3` | 10 | Uniswap V3 swaps | | `Bridge_LayerZero_Packet` | 7 | Cross-chain bridge messages | | `WETH_Withdrawal` | 7 | WETH to ETH unwrapping | | `Bridge_Wormhole_LogMessagePublished` | 2 | Wormhole bridge events | | `DAO_VoteCast` | 1 | Governance vote | **Block range:** 1,394,316 to 7,700,283 | **25 columns** | **1.5 MB parquet** --- ## Schema ``` block_number int64 Block height block_hash string Block hash timestamp int64 Unix timestamp tx_hash string Transaction hash tx_index int64 Position in block from_address string Transaction sender to_address string Transaction recipient gas_price int64 Gas price (wei) gas_used int64 Gas consumed value int64 ETH value transferred (wei) log_index int64 Log position in receipt contract_address string Emitting contract signal_type string Classified event type topic0 string Event signature hash topic1-topic3 string Indexed event parameters data string Non-indexed event data (hex) decoded_data string Human-readable decoded parameters chain_id int64 Chain identifier created_at string Extraction timestamp ``` --- ## Quick Start ```python import pandas as pd # Load directly from Hugging Face df = pd.read_parquet("hf://datasets/MikeKuykendall/ethereum-signals-sample/data/sepolia-sample-mixed.parquet") # All Uniswap V2 swaps swaps = df[df["signal_type"] == "Arb_Swap_V2"] # Oracle price updates oracles = df[df["signal_type"] == "Chainlink_AnswerUpdated"] # NFT transfers for a specific contract nfts = df[(df["signal_type"] == "ERC721_Transfer") & (df["contract_address"] == "0x...")] ``` --- ## How This Data Was Extracted Unlike RPC-based indexers (Dune, The Graph, Alchemy), this data was extracted **directly from Ethereum\'s P2P network** using a custom devp2p client. No RPC rate limits. No API keys. No full node required. The extraction engine uses **Fused Semantic Execution (FSE)** - a technique that scans raw receipt logs against multiple signal patterns in a single O(1) pass, classifying events as they stream off the wire. **What makes this different:** - **Zero RPC dependency** - connects directly to Ethereum peers via devp2p/ETH68 - **Pre-decoded signals** - events are classified and decoded at extraction time - **Multi-signal in one pass** - DEX swaps, oracle updates, bridge events, governance - all extracted simultaneously - **Minimal storage** - only signals are kept, raw blocks are discarded --- ## Full Dataset Available This sample is **0.013%** of the Sepolia dataset. The full extraction includes: | Product | Signals | Size | |---------|---------|------| | NFT Transfers (full) | ~45M events | 10.9 GB | | ERC20 Approvals (full) | ~8M events | 1.8 GB | | DEX Activity (full) | ~1.2M events | 172 MB | | WETH Wrapping (full) | ~900K events | 177 MB | | Oracle Price Feeds (full) | ~500K events | 95 MB | | Bridge Events (full) | ~150K events | 24 MB | | Governance (full) | ~5K events | 935 KB | | **Total (Sepolia)** | **76M+ signals** | **13.2 GB** | **Mainnet extraction (genesis to tip) is currently running.** ### [Get the full dataset at deltazerolabs.dev](https://deltazerolabs.dev) --- ## Use Cases - **MEV Research** - Cross-reference swap events with mempool data to study arbitrage patterns - **DeFi Analytics** - Track oracle updates, liquidity events, and bridge flows across time - **ML Training** - Labeled on-chain events ready for time-series models and anomaly detection - **Academic Research** - CC-BY-NC licensed, citation-friendly, parquet format --- ## License This sample is released under [CC BY-NC 4.0](https://creativecommons.org/licenses/by-nc/4.0/). Free for research, education, and non-commercial use. For commercial licensing of the full dataset, visit [deltazerolabs.dev](https://deltazerolabs.dev). --- ## Citation ```bibtex @dataset{kuykendall2026ethereum, title={Ethereum On-Chain Signals Dataset}, author={Kuykendall, Michael Allen}, year={2026}, publisher={Delta Zero Labs}, url={https://deltazerolabs.dev} } ``` --- **Built by [Delta Zero Labs](https://deltazerolabs.dev)** | *Extracting alpha from the wire.* [Website](https://deltazerolabs.dev) | [Full Dataset Pricing](https://deltazerolabs.dev/#pricing) | [Contact](mailto:mike@deltazerolabs.dev)