
{"id":138279,"date":"2026-02-26T15:30:34","date_gmt":"2026-02-26T15:30:34","guid":{"rendered":"https:\/\/mycryptomania.com\/?p=138279"},"modified":"2026-02-26T15:30:34","modified_gmt":"2026-02-26T15:30:34","slug":"i-ditched-rpc-hell-for-good-your-complete-genesis-to-tip-parquet-handbook-for-lightning-fast","status":"publish","type":"post","link":"https:\/\/mycryptomania.com\/?p=138279","title":{"rendered":"I Ditched RPC Hell for Good: Your Complete Genesis-to-Tip Parquet Handbook for Lightning-Fast\u2026"},"content":{"rendered":"<h3><strong>I Ditched RPC Hell for Good: Your Complete Genesis-to-Tip Parquet Handbook for Lightning-Fast On-Chain\u00a0Analysis<\/strong><\/h3>\n<h3>(No More Rate Limits, No More $500 Monthly\u00a0Bills)<\/h3>\n<p>Hey, I\u2019m Mike Kuykendall\u200a\u2014\u200a20+ years as a software engineer, former USAF Staff Sergeant, dad of two, and now the guy behind Delta Zero Labs (@_MikeKuykendall on\u00a0X).<\/p>\n<p>For years I lived the RPC life. Want every ERC20 transfer for a whale wallet since 2020? Fire up a script that loops eth_getLogs with 10,000-block ranges, handle rate limits, retry on 429s, paginate, dedupe, decode the ABI yourself, store it somewhere\u2026 rinse and repeat for DEX swaps, oracle ticks, liquidations.<\/p>\n<p>One weekend project turned into a $400\/month Alchemy bill and a 14 TB archive node eating my SSD. I swore there had to be a better\u00a0way.<\/p>\n<p><strong>There is.<\/strong><\/p>\n<p>I built (and now sell) <strong>production-grade, fully decoded, genesis-to-tip Parquet datasets<\/strong> for Ethereum mainnet, BSC, and Sepolia. One download. One file (or clean partitioned set). Zero RPCs forever. Query 7.77 billion BSC events or 334 million Sepolia events in seconds on your laptop with DuckDB or\u00a0Polars.<\/p>\n<p>This isn\u2019t another indexer or subgraph. This is the data you would have extracted yourself\u200a\u2014\u200abut already done, decoded, classified by signal_type, compressed, and ready to own\u00a0forever.<\/p>\n<p>In this post I\u2019m giving you the exact hand-holding walkthrough I wish I had two years ago. By the end you\u2019ll know precisely how\u00a0to:<\/p>\n<p>Grab the free 10k-row\u00a0sampleLoad it\u00a0locallyAnswer any question you used to hammer RPCs\u00a0forScale to the full multi-billion-row beast<\/p>\n<p>Let\u2019s kill the RPC tax together.<\/p>\n<h3>Why RPCs Break for Real Historical Work<\/h3>\n<p>Quick reality check (you already know this, but let\u2019s quantify the\u00a0pain):<\/p>\n<p>eth_getLogs max range is usually 10k\u201350k blocks on paid providers.Full mainnet = ~22 million blocks\u00a0today.One full scan of all Transfer events? Expect 200\u2013500 API calls, hours of waiting, and surprise $87\u00a0bills.Want MEV backtesting across 3 years of Uniswap V3? Good\u00a0luck.Rate limits, archive-node costs, data drift when providers change schemas\u2026 nightmare.<\/p>\n<p>I got tired of it. So I wrote a zero-RPC extraction engine (patent-pending Fused Semantic Execution\u200a\u2014\u200aFSE). It reads raw chain data once, decodes every event into clean columns, tags it with signal_type, and dumps it straight to\u00a0Parquet.<\/p>\n<p><strong>Result? Datasets\u00a0like:<\/strong><\/p>\n<p><strong>Ethereum Mainnet<\/strong> (Chainlink oracles + WETH flows + full DEX core): ~358 million signals, genesis \u2192 tip, ~16 GB compressed. Lifetime license $999 (25% off first 1,000\u00a0buyers).<strong>BSC<\/strong> (7.77 billion decoded events\u200a\u2014\u200aPancakeSwap, Aave, Chainlink, Wormhole, everything): genesis \u2192 block 82M+. One-time buy in the $999\u2013$9,999 range depending on\u00a0subset.<strong>Sepolia full archive<\/strong> (334M+ events, every category): single ~12.3 GB\u00a0Parquet.<\/p>\n<p>All delivered as Parquet. Columnar, insanely compressed (5\u201310\u00d7 smaller than CSV), predicate pushdown ready, works with every modern data\u00a0tool.<\/p>\n<h3>What\u2019s Actually Inside the Parquet (The 19-Column Schema You Can\u00a0Trust)<\/h3>\n<p>Every row is one decoded event. Here are the core columns you\u2019ll use every day (full 19-column spec is in the download\u00a0docs):<\/p>\n<p>block_number (int64)block_hash (string)timestamp (int64\u200a\u2014\u200aUnix\u00a0seconds)tx_hash (string)tx_index (int32)from_address (string)to_address (string)contract_address (string\u200a\u2014\u200athe token or protocol contract)signal_type (string\u200a\u2014\u200ae.g. ERC20_Transfer, UniswapV3_Swap, Chainlink_PriceUpdate, AaveV3_Liquidation, WETH_Deposit, DAO_Vote, etc.)value \/ amount \/ amount0 \/ amount1 (decimal or int256 normalized)price (for\u00a0oracles)log_index, topic0\u2013topic3, raw data fields for power\u00a0usersPlus decoded params specific to each signal_type (pool address, tick, sqrtPriceX96, etc. for DEX\u00a0swaps)<\/p>\n<p>One row = one crystal-clear, analysis-ready record. No ABI decoding in your code ever\u00a0again.<\/p>\n<h3>Step-by-Step: From Zero to Querying 300M+ Rows in Under 5\u00a0Minutes<\/h3>\n<h4>Step 1: Grab the Free Sample (No Email, No\u00a0Signup)<\/h4>\n<p>Go to the official\u00a0sample:<\/p>\n<p><a href=\"https:\/\/huggingface.co\/datasets\/MikeKuykendall\/ethereum-signals-sample\">https:\/\/huggingface.co\/datasets\/MikeKuykendall\/ethereum-signals-sample<\/a><\/p>\n<p>Or Kaggle mirror: <a href=\"https:\/\/www.kaggle.com\/datasets\/mikekuykendall\/ethereum-onchain-signals\">https:\/\/www.kaggle.com\/datasets\/mikekuykendall\/ethereum-onchain-signals<\/a><\/p>\n<p>Download the Parquet file (~5\u201310 MB, 10,000 stratified rows covering every signal_type).<\/p>\n<h4>Step 2: Install the Tools (Takes 60\u00a0Seconds)<\/h4>\n<p>I recommend <strong>DuckDB<\/strong>\u200a\u2014\u200ait\u2019s magical for\u00a0this.<\/p>\n<p>pip install duckdb pandas pyarrow<br \/># or just brew install duckdb on Mac<\/p>\n<h4>Step 3: Load and Explore (Copy-Paste These)<\/h4>\n<p>Open a Jupyter notebook or just the DuckDB\u00a0CLI.<\/p>\n<p><strong>Python + Pandas (for small exploration)<\/strong><\/p>\n<p>import pandas as pddf = pd.read_parquet(&#8220;ethereum_signals_sample.parquet&#8221;)<br \/>print(df.shape)                    # (10000, 19)<br \/>print(df[&#8216;signal_type&#8217;].value_counts())<br \/>print(df.head())<\/p>\n<p><strong>DuckDB SQL (this is where the magic happens\u200a\u2014\u200azero memory for huge\u00a0files)<\/strong><\/p>\n<p>&#8212; Launch DuckDB<br \/>duckdb&#8211; Attach the sample<br \/>SELECT * FROM read_parquet(&#8216;ethereum_signals_sample.parquet&#8217;) LIMIT 10;<\/p>\n<h4>Step 4: Real Questions You Can Answer Instantly<\/h4>\n<p><strong>\u201cHow many ERC20 transfers has this address\u00a0done?\u201d<\/strong><\/p>\n<p>SQL<\/p>\n<p>SELECT COUNT(*) as transfers,<br \/>       SUM(amount) as total_volume<br \/>FROM read_parquet(&#8216;your_full_dataset.parquet&#8217;)<br \/>WHERE from_address = &#8216;0x1234&#8230;&#8217; <br \/>  OR to_address = &#8216;0x1234&#8230;&#8217;<br \/>  AND signal_type = &#8216;ERC20_Transfer&#8217;;<\/p>\n<p><strong>\u201cTop 10 tokens by transfer count in\u00a02024\u201d<\/strong><\/p>\n<p>SQL<\/p>\n<p>SELECT contract_address,<br \/>       COUNT(*) as tx_count<br \/>FROM read_parquet(&#8216;your_full_dataset.parquet&#8217;)<br \/>WHERE signal_type = &#8216;ERC20_Transfer&#8217;<br \/>  AND timestamp &gt;= 1704067200   &#8212; Jan 1 2024<br \/>  AND timestamp &lt; 1735689600    &#8212; Jan 1 2025<br \/>GROUP BY contract_address<br \/>ORDER BY tx_count DESC<br \/>LIMIT 10;<\/p>\n<p><strong>\u201cAll Uniswap V3 swaps for a specific pool, with price\u00a0impact\u201d<\/strong><\/p>\n<p>SQL<\/p>\n<p>SELECT timestamp,<br \/>       amount0,<br \/>       amount1,<br \/>       sqrtPriceX96,<br \/>       (amount1::double \/ NULLIF(amount0,0)) as price_impact<br \/>FROM read_parquet(&#8216;full_dataset.parquet&#8217;)<br \/>WHERE signal_type = &#8216;UniswapV3_Swap&#8217;<br \/>  AND contract_address = &#8216;0x88e6a0c2ddd26feeb64f039a2c41296fcb3f5640&#8217;  &#8212; USDC\/ETH 0.05%<br \/>ORDER BY block_number DESC<br \/>LIMIT 1000;<\/p>\n<p><strong>\u201cChainlink price ticks for ETH\/USD over time\u201d<\/strong> (perfect for backtesting)<\/p>\n<p>SQL<\/p>\n<p>SELECT <br \/>  date_trunc(&#8216;day&#8217;, to_timestamp(timestamp)) as day,<br \/>  AVG(price) as avg_eth_price<br \/>FROM read_parquet(&#8216;full_dataset.parquet&#8217;)<br \/>WHERE signal_type = &#8216;Chainlink_PriceUpdate&#8217;<br \/>  AND contract_address = &#8216;0x5f4eC3Df9cbd43714FE2740f5E3616155c5b8419&#8217;  &#8212; ETH\/USD<br \/>GROUP BY day<br \/>ORDER BY day;<\/p>\n<p><strong>Pro tip:<\/strong> DuckDB can read partitioned folders\u00a0too:<\/p>\n<p>SQL<\/p>\n<p>SELECT COUNT(*) FROM read_parquet(&#8216;mainnet_parquets\/*.parquet&#8217;);<\/p>\n<p>It automatically uses predicate pushdown\u200a\u2014\u200afiltering on block_number or signal_type skips 99% of the data on disk. You\u2019ll query billions of rows faster than most people can scroll\u00a0Twitter.<\/p>\n<h4>Step 5: Going to the Full\u00a0Dataset<\/h4>\n<p>Buy your license at <a href=\"https:\/\/deltazerolabs.dev\/\">https:\/\/deltazerolabs.dev<\/a> (mainnet, BSC, or Sepolia bundles).Instant download link + lifetime re-download key.Unzip (if needed) \u2192 point your queries at the Parquet(s).Done. No monthly bill ever\u00a0again.<\/p>\n<p>Storage note: The BSC full set is big but compressible and runs fine on a 64 GB RAM machine. For bigger workflows just spin up a cheap Hetzner box with 128 GB RAM and DuckDB still smokes cloud warehouses on\u00a0cost.<\/p>\n<h3>Real-World Wins My Buyers Are\u00a0Getting<\/h3>\n<p>MEV searchers backtesting routing logic across 4 years of DEX data in &lt;2\u00a0minutes.Compliance teams tracing every NFT transfer for a collection without rate-limited Etherscan.Quant funds building wallet health scores from full WETH flow + liquidation history.Researchers writing papers with reproducible queries (just share the SQL + dataset version).<\/p>\n<p>One buyer told me: \u201cI cancelled my $1,200\/month RPC plan the same day the dataset\u00a0landed.\u201d<\/p>\n<h3>Comparison Table (Because You Love\u00a0These)<\/h3>\n<p>ApproachCostSpeed for 3yr HistoryMaintenanceOwnershipRaw RPC loops$200\u20132000\/moHours\u2013daysConstantYou rebuildSubgraphs\/The GraphFree\u2013paidFast but incompleteProvider riskNoCryo self-extractYour time + nodeDays to extractOngoingYes<strong>Delta Zero Parquet<\/strong>One-time $999+SecondsZero<strong>Forever<\/strong><\/p>\n<h3>Ready to Kill Your RPC\u00a0Bill?<\/h3>\n<p>Download the free sample right now: <a href=\"https:\/\/huggingface.co\/datasets\/MikeKuykendall\/ethereum-signals-sample\">https:\/\/huggingface.co\/datasets\/MikeKuykendall\/ethereum-signals-sample<\/a>Run the queries above. Feel the\u00a0speed.When you\u2019re ready for the full genesis-to-tip beast (mainnet, BSC, or Sepolia), head to <a href=\"https:\/\/deltazerolabs.dev\/bsc\">https:\/\/deltazerolabs.dev\/bsc<\/a> and grab your lifetime\u00a0license.<\/p>\n<p>First 1,000 buyers on mainnet\/BSC get 25% off with code EARLY25 at checkout.<\/p>\n<p>Questions? DM me on X @_MikeKuykendall or join the Telegram channel linked on the site. I answer every single one\u200a\u2014\u200athis is a veteran-owned solo operation and I actually care that you win with the\u00a0data.<\/p>\n<p>Stop paying rent for data that should be\u00a0yours.<\/p>\n<p>Download the sample. Run the queries. Then never call another eth_getLogs again.<\/p>\n<p>See you on-chain (offline).<\/p>\n<p>\u2014 Mike Kuykendall <a href=\"https:\/\/deltazerolabs.dev\/\">Delta Zero Labs<\/a> P.S. The next chain drop is coming soon. Want early access + custom signal types? DM\u00a0me.<\/p>\n<p><a href=\"https:\/\/medium.com\/coinmonks\/i-ditched-rpc-hell-for-good-your-complete-genesis-to-tip-parquet-handbook-for-lightning-fast-0942b1f32ff6\">I Ditched RPC Hell for Good: Your Complete Genesis-to-Tip Parquet Handbook for Lightning-Fast\u2026<\/a> was originally published in <a href=\"https:\/\/medium.com\/coinmonks\">Coinmonks<\/a> on Medium, where people are continuing the conversation by highlighting and responding to this story.<\/p>","protected":false},"excerpt":{"rendered":"<p>I Ditched RPC Hell for Good: Your Complete Genesis-to-Tip Parquet Handbook for Lightning-Fast On-Chain\u00a0Analysis (No More Rate Limits, No More $500 Monthly\u00a0Bills) Hey, I\u2019m Mike Kuykendall\u200a\u2014\u200a20+ years as a software engineer, former USAF Staff Sergeant, dad of two, and now the guy behind Delta Zero Labs (@_MikeKuykendall on\u00a0X). For years I lived the RPC life. [&hellip;]<\/p>\n","protected":false},"author":0,"featured_media":138280,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[2],"tags":[],"class_list":["post-138279","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-interesting"],"_links":{"self":[{"href":"https:\/\/mycryptomania.com\/index.php?rest_route=\/wp\/v2\/posts\/138279"}],"collection":[{"href":"https:\/\/mycryptomania.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/mycryptomania.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"replies":[{"embeddable":true,"href":"https:\/\/mycryptomania.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=138279"}],"version-history":[{"count":0,"href":"https:\/\/mycryptomania.com\/index.php?rest_route=\/wp\/v2\/posts\/138279\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/mycryptomania.com\/index.php?rest_route=\/wp\/v2\/media\/138280"}],"wp:attachment":[{"href":"https:\/\/mycryptomania.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=138279"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/mycryptomania.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=138279"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/mycryptomania.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=138279"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}