July 17th, 2025 – Zug, Switzerland

Supra, the first vertically integrated Layer-1 blockchain built for Automatic DeFi (AutoFi), today announced its latest expansion in data offerings: native, real-time feeds for key economic indicators, including unemployment rates, Gross Domestic Product (GDP), bond yields, Federal Reserve rates, retail spending, and the Consumer Price Index (CPI).

This expansion enhances Supra’s expansive suite of native price feeds across crypto, FX, equities, ETFs, and commodities, cementing Supra’s role as the most comprehensive onchain data infrastructure for Web3 builders. Supra envisions these new price feeds will motivate developers to combine potentially causal macro factors with price-based analysis to develop compelling strategies.

For the first time, developers and traders on Supra can natively access critical macro-economic data, all cryptographically secured and delivered with the low latency and high reliability that Supra’s oracles are known for. This unlocks a powerful new category of smart contract logic and trading strategies that dynamically respond to both price action and macroeconomic conditions, all in a trustless, verifiable way.

“By adding native economic indicators to Supra’s data stack, we’re enabling dApps, DAOs, and DeFi traders to programmatically incorporate macro-economic variables into their onchain logic, eliminating dependency on centralized data providers or manual offchain integrations,” said Joshua Tobkin, CEO and Co-Founder of Supra. “We’re excited to see what kinds of innovative algorithms and protocols developers will build with these new tools at their fingertips.”

Powering the Next Wave of Intelligent Trading Logic

Supra’s expanded data stack, combining native economic indicator feeds with high-fidelity price feeds and AutoFi capabilities, provides developers with a more robust foundation for developing advanced trading and investment strategies, such as:

• Custom Indexing: Supra’s index generator allows developers to construct onchain indices that combine asset prices and macroeconomic indicators. This allows traders to benchmark or structure products that adjust weights based on economic health, for example, allocating more heavily to risk assets when GDP growth is strong or tilting defensively when macro signals deteriorate.
• Macro-Informed Rebalancing: With native access to timely economic data such as unemployment rates, CPI, or bond yields, smart contracts can automatically rebalance positions to reflect shifts in the broader economy, such as increasing stablecoin allocations during high inflation or adjusting collateral ratios when interest rates move.
• Compound Algorithms: Developers can design algorithms that merge short-term technical signals with macro-economic context, improving robustness across market regimes. For instance, a strategy might only execute momentum trades when macro conditions are supportive, or pause trading entirely when economic stress indicators exceed a certain threshold.
• Event Driven Strategies: Protocols can implement onchain logic that reacts automatically to scheduled macro-economic releases, such as CPI prints, GDP updates, or central bank rate decisions, enabling strategies that hedge, rebalance, or shift exposure precisely when major economic data is published, without relying on manual intervention.
• Dynamic Yield Adjustment: DApps can adjust their staking rewards, borrowing rates, or protocol fees in response to macro-economic conditions like inflation rates or changes in benchmark yields, allowing protocols to maintain stable incentives, protect peg stability, or align returns with real-world monetary trends.

Integrating macro-economic data directly into Supra’s native oracle network represents a significant advancement for decentralized finance, enabling developers to build applications and protocols that systematically adapt to changing economic conditions whilst maintaining trustless execution and verifiable data integrity.

A Future-Proof Data Layer for Web3

Supra’s vertically integrated stack, encompassing smart contracts, native oracle price feeds, verifiable randomness (VRF), automation, cross-chain messaging, and now macro-economic data, empowers developers with everything they need to build at scale without relying on fragmented third-party solutions. Supra can achieve this through its comprehensive, seamlessly integrated toolkit to build the next generation of DeFi, DAOs, and trading protocols.

“Supra is committed to delivering the most accurate, reliable, and comprehensive data infrastructure in Web3,” added Tobkin. “With native economic indicators, we’re giving developers the tools they need to build applications that are not just reactive, but proactive, capable of adapting to a fast-changing world.”

Supra invites developers and traders to explore these new capabilities, now available through Supra’s Developer Hub and API suite. For more information and to start building with Supra’s macro-economic data feeds, users can visit supra.com.

About Supra

Supra is the first chain built for Automatic DeFi (AutoFi), a novel self-operating automated financial system that also serves as the perfect framework for crypto AI Agents, built upon its vertically integrated Layer-1 blockchain with built-in high-speed smart contracts, native price oracles, system-level automation and bridgeless cross-chain messaging.

Supra’s vertical stack unlocks all-new AutoFi primitives that can generate fair recurring protocol revenue and redistribute it across the ecosystem, reducing reliance on inflationary block rewards entirely over time. This stack also equips onchain AI Agents with all the tools they need to run a wide variety of powerful DeFi workflows for users automatically, autonomously, and securely. 

Contact

Press Manager
press@supra.com

Supra is aiming to rewrite the Oracle rulebook with its new AI-driven protocol to enhance decentralized reasoning.

Blockchain infrastructure firm Supra has introduced a new oracle system, “Threshold AI Oracles,” marking a significant leap in on-chain intelligence. Unlike traditional oracles that feed data into smart contracts, Supra’s system brings real-time, context-aware AI reasoning—enabled by domain-specialist agents operating in decentralized committees—directly onto its Layer-1 blockchain.

AI Committees, Not Just Data Pipes

Supra’s use of multi-agent AI committees is at the heart of the innovation. These agents don’t just retrieve data—they deliberate. Each committee comprises specialized agents trained in domain-specific knowledge such as finance, law, or technical infrastructure.

This allows dApps to ask complex, context-rich questions like whether a regulatory change has actually taken effect or if market sentiment supports a liquidation. The agents exchange arguments and build consensus before issuing a judgment—mirroring real-world expert panels in process design, as outlined in their technical whitepaper.

Verifiability Baked In

To establish trust, Supra has embedded threshold BLS cryptographic signatures into every AI decision. A quorum of decentralized AI agents must reach consensus before an output is signed and shared. This creates a verifiable trail and removes the need for centralized trust or opaque AI plugins—decisions are both transparent and tamper-proof.

Smarter, Cheaper, On Demand

The Threshold AI model activates only when summoned by a smart contract or when on-chain triggers occur. This just-in-time architecture significantly reduces gas fees and ensures scalability, providing intelligence only when needed.

Three-Phase Rollout

Supra is deploying the protocol in stages:

• Phase 1: Basic outputs like yes/no answers and sentiment scores

• Phase 2: JSON-structured commands for automating processes across DeFi and DAOs

• Phase 3: Full smart contract code generation, enabling dApps to evolve autonomously

Source: Supra

Real-World Impact

This protocol opens new horizons for applications in:

• Dynamic DeFi strategy execution – dApps could respond to evolving market sentiment in real-time, adjusting trading or lending strategies automatically.

• Automated DAO governance – Proposals can be evaluated by AI agents for relevance, feasibility, or legal implications before going to a vote, streamlining decision-making.

• Prediction market resolution – AI committees can assess nuanced, real-world events (e.g., election outcomes or policy changes) to settle markets accurately and fairly.

• Smart contracts triggered by off-chain events – External developments like regulatory shifts, supply chain disruptions, or news headlines can activate on-chain responses without manual input.

• Regulatory compliance checks in real-time – Financial applications can verify if a new rule has taken effect or applies to a transaction, helping prevent violations.

• Automated insurance claim assessments – AI agents could evaluate conditions and documentation to determine payout eligibility.

• Adaptive logic in on-chain gaming – Game mechanics can evolve dynamically based on player behaviour or broader community activity.

Beyond Traditional Oracles

While traditional oracles, like Chainlink, mainly supply raw data like prices or timestamps, Supra’s AI-driven oracles aim to go a step further—analyzing, interpreting, and verifying the information before passing it on. This approach would help dApps make better-informed decisions, without relying on off-chain systems or centralized services.

Fully Integrated Stack

Threshold AI Oracles are tightly integrated with Supra’s broader platform, which includes smart contracts, native price feeds, and cross-chain messaging. The protocol leverages a layered committee structure to ensure both scalability and resistance to manipulation.

Developers can explore features and access demos through the company’s Developer Hub. With Threshold AI Oracles, Supra is positioning itself at the forefront of intelligent blockchain automation—enabling a new era of smart contracts that don’t just act, but think.