Psy Protocol Achieves 521,000 TPS on a Live Proof-of-Work Network, Offers $100,000 Bounty to Anyone Who Can Prove the Results Invalid

marsbitPublicado em 2026-02-14Última atualização em 2026-02-14

Hong Kong | February 11, 2026 — Psy Protocol today announced that it has achieved 521,000 transactions per second (TPS) on a live, on-chain verifiable Proof-of-Work (PoW) network. The team stated that this result, achieved without sacrificing decentralization, security, or privacy, surpasses all publicly benchmarked performances of mainstream Proof-of-Stake (PoS) and Proof-of-Work chains to date.

The stress test was conducted on thousands of Google Cloud instances to simulate a high-concurrency, internet-scale operating environment. Every transaction in the benchmark is backed by cryptographic proof, and the complete dataset has been published for independent verification.

To demonstrate confidence in the results, Psy Protocol has publicly posted a $100,000 (US$100,000) bounty, to be awarded to any individual or team that can invalidate this throughput result based on the published proof materials.

"This is not a devnet demo, nor a theoretical projection," said Carter Feldman, Founder and CEO of Psy Protocol. "Every single result is verifiable. If we are wrong, the math will show it—and we will pay $100,000 to the person who shows it."

Why 521,000 TPS Matters Now

High-throughput benchmarks are not uncommon in the crypto industry. Psy Protocol believes this result is structurally significant because of the use-case context it addresses.

Blockchains were originally designed around human transaction patterns: sporadically occurring activities, manual approvals, and low concurrency. However, this model is becoming increasingly mismatched as millions of autonomous AI agents transact, collaborate, and settle at machine speeds continuously in the future.

When networks designed for human-scale usage encounter sustained machine-grade demand, the result is often network congestion, soaring fees, and cascading bottlenecks. Psy Protocol views 521,000 TPS as the "baseline" infrastructure required for a machine-native economy, not a performance ceiling.

How the Architecture Works

Most blockchains require every node to re-execute every transaction, a design that imposes a hard architectural ceiling on throughput. Psy Protocol removes this bottleneck through four synergistic design choices:

  • Parallel State Architecture (PARTH): Each user operates in isolated state partitions. This eliminates global state contention, allowing thousands of state transitions to be processed simultaneously without conflict.
  • Client-Side Proof Generation: Transaction execution and proof generation are performed on the user's device, with sensitive data always remaining under the user's control. Miners are only responsible for verifying and aggregating proofs, not re-executing transactions, thus eliminating redundant computation across the entire network.
  • Recursive Zero-Knowledge Proofs: Individual transaction proofs are recursively folded into a single succinct proof per block. As transaction volume grows, verification costs grow logarithmically rather than linearly, meaning massive throughput increases do not require proportional increases in resources.
  • Horizontal Scaling via Realms: The network scales by adding parallel processing domains ("Realms") and proof aggregation capacity. Throughput increases linearly with added infrastructure, rather than being limited by a fixed architectural cap.

Psy Protocol states that 521,000 TPS reflects the result in the current test configuration; higher throughput is achievable by scaling parallel proof generation capacity.

Verification: Open Data, Verifiable on Consumer Hardware

Because verification relies on succinct recursive proofs rather than full re-execution, Psy Protocol states that any combined proof from the benchmark can be independently verified on consumer-grade hardware—including limited-performance devices like a Raspberry Pi.

The complete test methodology, ZK circuit data, and combined proofs have all been open-sourced and are available at:

https://st8.psy.xyz/explorer

Applications Feasible at This Scale

With sustained throughput exceeding 500,000 TPS, the following new types of on-chain activity become feasible:

  • High-frequency micropayments between autonomous agents
  • Continuous clearing markets with real-time settlement replacing discrete batch settlement
  • High-density coordination among large-scale AI agent swarms operating without human intervention
  • Keyless agent execution via programmable signature circuits, eliminating reliance on human-controlled private keys or third-party custody

About Psy Protocol

Psy Protocol is building a Proof-of-Work smart contract platform for the "agentic internet." Its architecture combines the security and decentralization benefits of Proof-of-Work with the throughput and fee efficiency historically associated with Proof-of-Stake systems. Psy employs a "Proof-of-Useful-Work (PoUW)" consensus model, where miners perform cryptographically productive work—namely, aggregating and verifying zero-knowledge proofs—rather than arbitrary hash puzzle computations.

Perguntas relacionadas

QWhat is the TPS (Transactions Per Second) achieved by Psy Protocol in a real-world Proof-of-Work network, and what is the bounty offered for disproving this result?

APsy Protocol achieved 521,000 TPS in a real-world, verifiable Proof-of-Work network. They have offered a $100,000 bounty to anyone who can prove this result is invalid based on the published cryptographic proofs.

QAccording to the article, why is achieving 521,000 TPS particularly significant in the current context of blockchain technology?

AIt is significant because it addresses the future need for a 'machine-native economy.' Traditional blockchains designed for sporadic human transactions are inadequate for the continuous, high-speed transactions of millions of autonomous AI agents. This result represents a baseline for the infrastructure required to support such activity without congestion or high fees.

QName two of the four key architectural designs that Psy Protocol uses to remove the throughput bottleneck found in most blockchains.

ATwo of the four designs are: 1. Parallel State Architecture (PARTH), which isolates state partitions to eliminate global state contention, and 2. Client-side proof generation, where users execute transactions and generate proofs on their own devices, so miners only verify and aggregate proofs instead of re-executing transactions.

QHow can the results of Psy Protocol's benchmark test be independently verified, and what kind of hardware is sufficient for this verification?

AThe results can be independently verified using the complete test methodology, ZK circuit data, and composite proofs that have been open-sourced. This verification can be performed on consumer-grade hardware, including limited devices like a Raspberry Pi, because it relies on verifying succinct recursive proofs rather than fully re-executing all transactions.

QWhat type of consensus model does Psy Protocol use, and what useful work do the miners perform instead of solving arbitrary hash puzzles?

APsy Protocol uses a Proof-of-Useful-Work (PoUW) consensus model. Instead of performing arbitrary hash calculations, miners perform cryptographically productive work by aggregating and verifying zero-knowledge proofs.

Leituras Relacionadas

human.tech Launches Clean SDK for Privacy-First Web3 Apps

human.tech has launched the Clean SDK, a toolkit enabling developers to build privacy-first Web3 applications with transparent accountability. Released alongside Aztec's version 5, the SDK provides components for integrating zero-knowledge identity verification, sanctions screening, and private transactions, without developers handling sensitive user data or building compliance infrastructure from scratch. It uses zero-knowledge proofs and programmable verification to allow apps to confirm user legitimacy and sanctions compliance while keeping identities confidential. The first application built on the SDK, Shield, a privacy bridge to Aztec, also launched. It allows users to transfer assets privately while proving a unique human is behind each transfer and that funds have passed sanctions checks, as verified by a May 2026 audit. The SDK offers three core verification techniques: Proof of Innocence (sanctions screening against 23 sources), Proof of Personhood (simpler verification via Human Passport), and Proof of Clean Hands (higher-assurance zero-knowledge government ID checks). This allows apps to authenticate users and transactions without exposing personal data. Designed for Aztec builders, the SDK lets developers add programmable privacy to decentralized apps, eliminating the need to create their own verification and ZK infrastructure. Shield demonstrates its practical use for private bridges, but the SDK aims to enable a wider ecosystem of private, accountable financial apps and services. The launch addresses growing demand for infrastructure that balances privacy and accountability. The SDK avoids traditional identity databases, storing encrypted data off-chain, screening at both entry and exit points, and including a gated disclosure mechanism for legal requests. human.tech's products, including the Clean SDK, focus on using zero-knowledge technology to enable verifiable personhood and privacy in digital systems.

TheNewsCryptoHá 14m

human.tech Launches Clean SDK for Privacy-First Web3 Apps

TheNewsCryptoHá 14m

Unlocking $100 Million in Liquidity? Pump.fun's New Policy Tests the 5-Minute Pump Technique

Pump.fun, a popular meme coin launchpad, has introduced a new standard mechanism called BOOST. It aims to address a significant capital efficiency issue: when a newly launched token graduates from its initial bonding curve to a liquidity pool (LP), roughly 20% of its liquidity becomes permanently locked as "dead liquidity," estimated to waste over $100 million annually. Instead of locking these funds permanently, BOOST repurposes them. Upon a token's migration, approximately 20% of the settlement funds (e.g., 17.6 SOL or ~$2516 USDC) are used to buy back the token on the open market over a 5-minute period via a Time-Weighted Average Price (TWAP) mechanism. All purchased tokens are immediately burned. This creates a brief, systematic buy pressure immediately after migration, potentially generating a short-term price surge ("pump") while permanently reducing the token's circulating supply. The goal is to enhance the immediate post-launch trading experience, potentially increasing trader retention and sustainable protocol revenue, which funds ongoing token buybacks. However, concerns exist that this artificial 5-minute boost could lower the barrier for launching low-quality tokens and lead to steeper price crashes once the buy pressure stops, if followed by large sell-offs. The feature automatically applies to tokens migrating after July 21, 2024, but not to previously migrated tokens or those launched via the Mayhem AI Agent lab.

marsbitHá 21m

Unlocking $100 Million in Liquidity? Pump.fun's New Policy Tests the 5-Minute Pump Technique

marsbitHá 21m

Podcast Notes | Conversation with GSR Asset Management Head: To Determine if This Crypto Rally is Real, Just Watch the Lending Rates on Aave

Podcast Summary: Dialogue with GSR's Head of Asset Management: To Determine if This Crypto Rally is Real, Just Check Lending Rates on Aave Andy Baehr, Managing Director of Asset Management at GSR, discusses the current crypto market, characterizing it as stuck in a state of "ambivalence" with short-lived, unsustainable rallies. He outlines a simple framework: the market moves between "ambivalence" and "conviction" (sustained upward momentum). Currently, every rally resembles a single-stage rocket booster that quickly fizzles out. Baehr identifies three key signals to watch: 1) DeFi lending rates, 2) the potential passage of the CLARITY Act, and 3) the market forming a consensus on the "Fed hawkish peak." He emphasizes that the most immediate indicator for the sustainability of the recent CPI-triggered rally is the USDC borrowing rate on Aave, currently around 3.75%—close to U.S. Treasury yields. The absence of a credit spread indicates low leverage demand and a lack of market energy. He explains that a healthy, sustained rally requires layered buying pressure. Last year's rally progressed from an ETH short squeeze to crypto-native trader influx and finally to ETF inflows. Currently, this structure is missing. Other potential structural buyers like Digital Asset Treasury (DAT) companies are absent, and ETF flows have proven transient. Baehr notes that while small-cap crypto tokens outperformed large caps in Q2—a potential sign of capitation in major assets—capital is also flowing to more exciting opportunities like AI stocks and tech IPOs, leaving crypto sidelined. Regarding DeFi, he highlights that platforms like Aave provide a clear, real-time signal of leverage demand through their supply/demand-driven interest rates. A significant, sustained rate increase would signal genuine market conviction. He also observes the quiet emergence of fixed-income-like products and vaults in DeFi. On regulation, the probability of the CLARITY Act passing before the August 7th deadline has dropped linearly from 75% to below 40% on Polymarket. Baehr suggests its passage would be treated as a bullish surprise, a potent driver for price movement. However, political hurdles, including ethical clause debates and disclosures about the First Family's crypto profits, remain significant obstacles. Ultimately, the market awaits clarity on the Fed's terminal rate under Chair Warsh. Until the "Fed Solstice"—the point where the market collectively understands the peak of hawkish policy—sustained conviction will be difficult to achieve.

marsbitHá 52m

Podcast Notes | Conversation with GSR Asset Management Head: To Determine if This Crypto Rally is Real, Just Watch the Lending Rates on Aave

marsbitHá 52m

Trading

Spot
活动图片