
Tagging 8-K disclosures with AI: corporate events, labelled by what actually happened
A SEC 8-K API that labels what actually happened. Query filings by event type (CEO departures, cybersecurity incidents, M&A), with source-cited tags.

rian

Introducing
Dec 3, 2025
Reposted from Magic Newton Foundation's blog.
As Treasuries, bonds, and other financial instruments move onchain, Real World Asset (RWA) applications need real-time market signals to power informed trades. Treasury yields shape pricing, timing and portfolio decisions — making them foundational data for any onchain trading experience.
Today we’re introducing the Massive Treasury Yield Data Oracle, an open-source integration built on Newton Protocol that brings U.S. Treasury yield curve data into programmable pre-trade guardrails. This lets developers enforce trading rules before a transaction executes, ensuring trades are executed under optimal market conditions.
The Massive Data Oracle allows developers to feed real-time and historical Treasury yield curve data into flexible Newton Protocol policies.
With this integration, developers can define policies that:
Each evaluation is executed off the execution chain by Newton Protocol’s decentralized operator network, with a cryptographic attestation anchored onchain for auditability through Newton Explorer.
This lets developers create trading systems that behave more like institutional infrastructure — informed, risk-aware and verifiably enforced before any transaction proceeds.
Integrating Treasury yield data via Newton Protocol enables macro-aware trading logic across RWA and DeFi systems:
Together, Massive and Newton Protocol bring RWA performance guardrails to onchain trading.
Most trading automation systems either operate entirely offchain (no proof, hard to audit) or bake logic into smart contracts (rigid, expensive to update, not data-flexible).
Newton Protocol separates policy logic from execution, enabling programmable pre-trade enforcement that is:
Newton Protocol turns market risk, automation controls and compliance into code, giving lean teams the guardrails that previously required in-house quant, compliance and risk teams.
Developers can now use the Massive Treasury Yield Data Oracle to build macro-aware, programmable guardrails for AI agents, automated trading strategies or treasury systems.
Visit the Developer Docs to learn how to integrate Massive data — and other data from Magic Labs, Veriff, Vaults.fyi and more — into Newton Protocol policies.
With Newton Protocol, developers can combine live market data with programmable enforcement to meet any business, risk or regulatory requirement.
Massive (fka Massive.com) provides real-time and historical financial market data across equities, options, indices, FX, crypto, and fixed income. Developers rely on Massive for fast, reliable macro and micro market data to power trading systems, analytics, and financial applications.
Website | Twitter (X) | LinkedIn
Newton Protocol is the decentralized policy engine that turns business logic into programmable infrastructure. Developers can define, verify, and enforce policies that enable real-time, privacy-preserving compliance and guardrails for RWA, DeFi, and AI systems.
Website | Twitter (X) | LinkedIn

Alex Novotny
alexnovotny
See what's happening at Massive

A SEC 8-K API that labels what actually happened. Query filings by event type (CEO departures, cybersecurity incidents, M&A), with source-cited tags.

rian

In this post, we'll walk through how Earnings Watcher built its analytics layer on Massive's options chains and snapshots, why Fair Market Value anchors its scanner, and how the same API pattern extended from options into post-earnings drift analysis on the underlying equity.

alexnovotny

Massive's LULD WebSocket channel streams Limit Up/Limit Down price band updates, halts, and resumptions for every NMS stock in real time.
editor