Edge & Node @edgeandnode
⚡ Pioneering data infra for the next internet. Founding team @graphprotocol, @ampersend_ai and 🏡 @thehousesf. Powering web3, AI, and enterprise. edgeandnode.com The House San Francisco Joined February 2021-
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The transfer happened onchain. Did it match your payment records? Amp brings blockchain activity into storage you control, with SQL for the reporting and reconciliation workflows you build. Talk to our team: edgeandnode.com/book-a-demo
Querying a specific block range? Amp ⚡️ checks block-range metadata before opening Parquet files, skipping files whose ranges don’t overlap the query. DataFusion can then prune row groups and pages within the remaining files. Our Principal Software Engineer, John Swanson explains the design in our FDAP article. edgeandnode.com/articles/fdap-…
Flight for transport. DataFusion for queries. Arrow in memory. Parquet on disk. That's FDAP, the stack behind Amp. John Swanson, Principal Software Engineer @edgeandnode explains what we built on top for blockchain data, from reorgs to compaction. edgeandnode.com/articles/fdap-…
Blockchain data that behaves like the rest of your stack. Amp turns your chain's RPC endpoint into Parquet you own and SQL you already know. Correct through reorgs. Drops into Snowflake, BigQuery, Postgres and the tools you already run. Meet Amp → edgeandnode.com/amp
A lot of the blockchain data analysts work with is hours old. Amp's real-time data has a median freshness of 747 ms. You query it in normal SQL from Tableau or Power BI or whatever you already use. edgeandnode.com/amp
Arc mainnet went live last week. Big validator list. If you're on a data team, your part is probably just starting. Someone has to get that chain into your warehouse. You need ⚡️Amp ➡ edgeandnode.com/amp
If you’re in NYC today, come find us at the Data Management Summit. Edge & Node CEO @rodventures takes the stage for a keynote at 3:05 PM, followed by our very own Craig Tutterow joining a panel at 3:25 PM. We also have a booth in The Gallery, we’d love to meet you. Secure your delegate pass here: eu1.hubs.ly/H0xTWyf0 #DMSNYC #DataManagementSummitNYC #DataManagement #DataStrategy #CapitalMarketsTech #InstitutionalTrading
The Data Management Summit NYC is tomorrow 🗽 3:05 @rodventures keynotes on more data at lower cost, and the case for AI-enabled specialization. 3:25 Craig Tutterow joins the panel on building a defensible audit trail for agentic workflows. @ Ease, 605 Third Ave, 7th floor. Come find us 🤝 #DMSNYC a-teaminsight.com/events/data-ma…
The Senate votes at 2:15 today on whether to start debating the CLARITY Act. It needs 60 votes and Republicans only hold 53 seats. Pass or fail, a regulator can still ask a bank to prove a number matches what is on the blockchain. Most banks have to call their data vendor to answer that...unless they use Amp.
⚡️ Amp offers a verifiable blockchain data feature. Every dataset carries cryptographic provenance back to the block. So you don't have to prove to your auditor that your results match the chain. They can verify that themselves. edgeandnode.com/articles/verif…
The Edge & Node team will be at the Data Management Summit NYC this Thursday. 3:05 : @rodventures keynotes on more data at lower cost, and the case for AI-enabled specialization. 3:25 : Craig Tutterow joins the panel on building a defensible audit trail for agentic workflows. @Ease, 605 Third Ave. #DMSNYC We hope to see you there!
U.S. Bank just ran its own stablecoin on a public chain. This leaves a record anyone can read. Next step: get those records into the bank's data stack in a shape an auditor accepts. Amp does that part.
Most teams pull blockchain data from RPC providers, which can have bugs and bad configs. Amp, our blockchain data engine, builds verification into extraction. Amp recomputes the hash locally and verifies it against what's onchain. *Verification confirms the data matches the chain. Your analysts get plain SQL tables across multiple chains, in the BI tools they already use. Cloud, on prem, or hybrid.
Firms standardized on general purpose data platforms for good reason. Building your own was slow, expensive, and needed a team most groups didn't have. The cost of building has come down. It came down at the same moment AI started multiplying the volume of data everyone has to handle. In this talk I'll get into where the efficiencies actually sit, how to shape a system around your largest workload, and how to keep governance and auditability intact while you do it. 3:05 PM, September 17, at 605 Third Avenue in New York. Craig Tutterow is on the 3:25 panel right after me on audit trails for agentic workflows. Come to both, and find me after. I'm there through the networking reception. a-teaminsight.com/events/data-ma…
Our CEO @rodventures is keynoting the Data Management Summit New York on Sept 17. More Data, Lower Costs: The Case for AI-Enabled Specialization. AI is making more data. AI is also making the systems that handle it cheaper to build. He'll show how those two things meet at
Craig Tutterow, our Director of Data, takes the stage at 3:25 PM on September 17th at the Data Management Summit New York. The panel: Proving Your AI: Building a Defensible Audit Trail for Agentic Workflows in a Regulated Environment. Regulators are asking firms to show their work on AI decisions. Most governance frameworks were built for a different era. Craig and the panel get into what a defensible audit trail looks like now. 40 minutes, moderated by Pete Harris of the A-Team Group.
Our CEO @rodventures is keynoting the Data Management Summit New York on Sept 17. More Data, Lower Costs: The Case for AI-Enabled Specialization. AI is making more data. AI is also making the systems that handle it cheaper to build. He'll show how those two things meet at scale. 3:05 PM. NYC. Hope to see you there a-teaminsight.com/events/data-ma…
For 100,000 Ethereum blocks. One block's data comes back from an RPC provider that doesn't match what's actually onchain. No error. Just bad data. This happens everyday. Amp verifies extracted data against the cryptographic commitments in block headers, catching discrepancies before they reach your system.
@rodventures sat down with @laurashin on @Unchained_pod. They did a deep dive - chatted state of agentic commerce, why enterprise interest is moving faster than the headlines suggest, and what the onchain record shows agents are actually doing with money. We hear how most of the forecasts in this category were built on assumptions. He went to the data instead. Subscribe to Unchained Premium to watch
Almost 400 @BNYglobal employees just watched an internal demo day on AI agents making payments. 🏦 According to Rodrigo Coelho ( @rodventures ) of @edgeandnode, enterprise interest in agentic commerce is moving fast.
132 days until the GENIUS Act takes effect. Regulators missed their own July deadline for final rules. So issuers are trying to build compliance systems without a rulebook. One thing holds no matter how the rules land. You have to prove where your onchain data came from.
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