
Chain Time Streaming with Amp, Part 1
Explore the streaming side of Amp, with this post establishing the theory behind it and what it means to process data in chain time including a deep dive into a special case of streaming joins.
Insights, updates, and technical deep dives from the Edge & Node team.

Enterprise security certifications are becoming the gatekeepers of institutional blockchain adoption.

A Practical Guide to the New Federal Framework for Payment Stablecoins. This guide explains what the GENIUS Act is, why it matters, how it works, who it applies to, and what institutions must do to comply.

A practical FAQ for treasury, risk, and compliance teams evaluating Amp as a verifiable blockchain data infrastructure layer, covering auditability, regulatory readiness, and enterprise deployment.

Your agents can plan, reason, and execute. But they can’t pay for anything on their own. x402 removes that bottleneck—it’s a protocol that enables pay-per-request payments at the HTTP layer, allowing agents to discover a service, pay for it, and consume it in a single transaction.

A multi-agent system mistakenly burned $47,000+ in API costs. No hacker. No breach. Just bad infrastructure controls. With ampersend, every LLM call becomes a real USDC payment with spending limits enforced at the wallet level—when the agent’s budget runs out, the agent stops spending money even if the code keeps running.

Reliable analytics starts with accurate, queryable blockchain event data. But contract events break the moment reorgs happen. Amp provides a structured pipeline for smart contract events—indexing them, reconciling reorgs, and exposing results as SQL tables without custom parsers or ingestion pipelines.

Financial institutions expanding into digital assets don't want to become blockchain infrastructure companies. They want reliable data they can query, analyze, and act on. But what seems like a straightforward data integration project often becomes a sprawling infrastructure effort that consumes engineering resources and delivers inconsistent results.

Financial institutions entering the blockchain space face a hidden risk: they're relying on data they can't actually trust. With legislation like the GENIUS Act mandating audited reserve disclosures, verifiable data extraction isn't a nice-to-have — it's a requirement.

Querying blockchain data means trusting that your data source reflects the canonical chain state. Amp's verifiable extraction uses cryptographic primitives to catch corrupted or tampered data before it enters your system.