Cluster Protocol | Announcements
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Orchestration layer for autonomous workflows and prompt to dapp browser based IDE.
Backed by DAO5 and Paper Ventures

Check out our twitter at https://twitter.com/ClusterProtocol
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Cluster Protocol Γ— @bsc4ai

4AI is building a decentralized AI marketplace on BSC where agents can be requested, discovered, and deployed across its Requests, Agent Hub, and Agent Space layers.

We’re exploring how that agent environment can connect with CodeXero to make agent-based onchain products easier to build.

Most agent conversations stop at the agent itself, but this one is more about the system around it.

Read the full blog
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Most people hear "ICM" and think it's just another way for anyone to launch a token.

That's the early take.

But what's actually emerging is a real pipeline: you have an idea, you ship a dApp, people use it, it generates revenue, and ownership gets distributed through a token.

That's not memecoin energy but a startup, just faster and more open than before.

Cluster is building the infrastructure that makes that pipeline reliable. The boring, important stuff that lets it actually work.
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Cluster Protocol Γ— Astra Nova

Astra Nova is building an AI entertainment ecosystem across products like BlackPass, NovaToon, Action RPG & Deviants Fight Club.

Through this partnership, we’re exploring how Cluster’s infrastructure can support that ecosystem as it grows across smarter in-game AI, stronger orchestration, and deeper community engagement.

Read the full blog
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Cluster Protocol x @NoosNetwork 🀝

Noos is building verifiable economic infrastructure for AI agents. We're building the coordination layer.

Together, agent deployment, verifiable execution, and fair reward infrastructure. All decentralized.

AI agents running unverified, uncoordinated, and unrewarded is a broken system.

Read more at Cluster Blogs on how Cluster x Noos fixes that, and what we're building together.
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Can AI agents build real reputation?

Or are we heading toward a world where intelligence is easy but trust is impossible?

This Thurs, we’re sitting down with ForU AI to break it down.

Ft. Sayli
Hosted by Anjali

April 9th | 2:30 PM UTC

Space Link: https://twitter.com/i/spaces/1DxleEpqOOlKL

Don't miss!
Cluster Protocol Γ— @antfun

ANT.FUN is a Solana-native perpetual DEX focused on fast, low-fee, non-custodial trading, with strong early traction across the ecosystem.

Through this partnership, we’re aligning how builders can use CodeXero to create utilities, tools, and interfaces on top of live trading infrastructure.

From trading infrastructure to builder-facing tools, the focus is on real utility.

Read the full blog
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Vibe-coding collapsed the cost of shipping a dApp to near zero. That's not the flex it used to be.

When anyone can deploy in a weekend, what actually differentiates a protocol is what happens after launch, how it handles load, bad actors, and autonomous agents operating at machine speed.

Cluster is infrastructure for that layer: orchestration, verifiable execution, and runtime guardrails built for AI-native applications.
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Cluster Protocol x @ChainAware_ai

Web3 has no shortage of agents. What it lacks is agents that are actually usable, revenue-focused, and ready to build on.

ChainAware solves that. Open-source Web3 agents like whale detection, wallet targeting, onboarding, airdrop screening and more, built for real dApp growth.

We are bringing them into CodeXero as skills and APIs.

So builders can stop starting from zero and start building on top of infrastructure that already works.

The full breakdown of our partnership with ChainAware.
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Lighthouse is one of the few storage layers that actually fits how on-chain apps work.

Files can be encrypted, access can be gated by what you hold on-chain, and you get both fast retrieval and long-term backup in the same flow.

Which is why we integrated Lighthouse's APIs into CodeXero, so devs could build on permanent, programmable storage.
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Cluster x Pundi AI

We are teaming up with @PundiAI to complete the decentralized AI stack.

Pundi AI brings tokenized, human-annotated datasets. Cluster brings verifiable compute and the product-creation layer via CodeXero.

From data to deployed AI, all open, all onchain.

Read the full details on our partnership at Cluster Blogs.
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Cluster Protocol has raised $5M bringing total capital raised to $7.75M

Led by dao5, joined by Paper Ventures, JPEG Trading, Mapleblock Capital, and a growing roster of strategic investors.

Every dollar accelerates CodeXero, the browser-native vibe coding IDE for EVM.

The next internet will be defined by the ones shipping micro-products, tokenized experiences, and internet-native applications at speed.

That's the Internet Capital Market. CodeXero is the execution rail for it.
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Time to give back to the community!

We've teamed up with @RaxFinance for a 100 USDT giveaway.

1️⃣ Follow both accounts, join the waitlist (more details here).
2️⃣ Drop your EVM address and waitlist screenshot in the comments of our post here.

Simple steps, real rewards.

Let's go!
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Cluster Protocol is partnering with easydotfun to bring AI-native intelligence into one of crypto’s most active environments: perp trading.

Built on top of Hyperliquid's high-speed onchain execution layer, easy fun generates a constant stream of trading data, from positions and leaderboards to tournaments and copy trading activity.

By integrating this into Cluster's infra, builders can vibe code enhanced Hyperliquid's perp utilities like copy-trade ROI simulator, mid-session PnL coach and more just via english prompts.

We wrote about why that makes it the right surface for AI and what builders can ship when easy.fun's data layer meets Cluster's infra through Hyperliquid.
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What happens when AI stops being a feature bolted onto a trading terminal and starts becoming the connective layer between liquidity, execution, and community?

That's the conversation we're sitting down to have with ANT.FUN

Topic: What happens when AI meets real-time trading data?
Date: 7th May | 2:30 PM UTC
Host: Cluster Protocol

Space link ⬇️
https://twitter.com/i/spaces/1wxWjaEXEykJQ

See you at the AMA.
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Winners are live!

Those who participated in RAX Awakening Alliance giveaway, go check your name, claim within 7 days, and watch out for that bonus pool draw.

Congrats to everyone who made it. πŸ™Œ

More details here in the post by @RaxFinance on the steps to claim it.
Please open Telegram to view this post
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Cluster Protocol is partnering with @Cwallet_Exchange, one of the most widely used crypto super-apps with 60+ chain support and millions of active users.

Builders on CodeXero will be able to tap into Cwallet's Payment API, Giveaway API, and Wallet SDK to ship crypto utility apps like payroll tools, and payment widgets all from a single prompt.

From prompt to product to people.

Read full details on how our partnership with Cwallet enables builders to create with Cwallet's payment, distribution infrastructure and Cluster's AI build layer.
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AI agents are getting smarter every week, but what happens when AI agents need to pay each other?

This Thurs, we go deep on agent economics with Vladasanadev, Ecosystem Lead at Noos Protocol, to break down the infrastructure behind agent-to-agent economics, verifiable work, and why settlement matters in autonomous AI.

Hosted by Anjali

πŸ“…May 14 | 2:30pm UTC

πŸ”— Space link ⬇️

https://twitter.com/i/spaces/1mxPaLYNmAnKN

Set reminders now!
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Cluster Protocol x @InsightXHQ

InsightX turns real-world data, macro events, and market expectations into tradable instruments, priced collaboratively by humans and AI agents.

InsightX's AI pricing agents gain access to Cluster's serverless inference and can pay for every request autonomously through x402.

What this partnership opens:

πŸ”Ή Agent-native inference.
πŸ”Ή Tokenized market data.
πŸ”Ή One-prompt market apps.

Full breakdown at Cluster Blogs.
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The model you choose gets most of the attention but the real decisions live in the infrastructure underneath.

When inference routes across Groq, Together, and Fireworks through a unified gateway, no single provider accumulates a complete picture of your workload: call cadence, model switching, failure patterns.

The observability surface is partitioned by architecture, not by policy.

Private inference, built right, becomes a default property of the system rather than something you have to configure or trust a provider to honour.
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Encrypting API keys protects credentials.

But private inference also means protecting workload metadata: model calls, usage patterns, failures, and routing behavior.

Keys protect access. Architecture protects behavior.

Read more
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AI does not just run on models and GPUs.

It runs on data: human data, labeled data, useful data.

We’re sitting down with Pundi X Labs for an AMA on β€œShould You Get Paid When Your Data Trains AI?” and exploring how users can contribute, own, and unlock value from the data powering the next wave of AI.

πŸ—“ 21st May | 2:30 PM UTC

Set your reminder ⬇️

https://twitter.com/i/spaces/1AxRnaOZbYzxl

Don't miss!
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