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.

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.

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.

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.

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.

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!

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.

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.

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.

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

📅May 14 | 2:30pm UTC

🔗 Space link ⬇️

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

Set reminders now!

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:

🔹 Agent-native inference.
🔹 Tokenized market data.
🔹 One-prompt market apps.

Full breakdown at Cluster Blogs.

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.

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

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 “Should 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.

🗓 21st May | 2:30 PM UTC

Set your reminder ⬇️

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

Don't miss!

What does “open source AI” actually mean today?

This Friday, 22nd May at 2:30 PM UTC, Cluster Protocol is hosting a roundtable #2 on:

“Open source at the model layer: where AI openness actually stands”

Joining us:

Goku from ENI
Arjun Kalsy from Covalent
Lisa from MarsCat
Azibi from DataVLT
Alu from MelosBoom
NUEL from 4AI &
Dennis Verstappen from Indexing Co

We’ll unpack where AI openness is real, where it is limited, and why the model layer matters for builders, infra teams, and the future of intelligent systems.

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

Don't miss.

Cluster Protocol x @uxlinkofficial

UXLINK is the largest Web3 social platform and infrastructure, powering a Social Growth Layer that gives developers instant access to social distribution.

Through this partnership, CodeXero-deployed apps gain access to UXLINK's social growth APIs, invite systems, referrals, group utilities, and social graph access built into the dApp from the first prompt.

What this partnership opens:

🔷 Social APIs in CodeXero: builders ship dApps with social growth mechanics from day one.

🔷 Social graph data on Cluster's marketplace: verified connections and engagement patterns, composable for any builder or agent.

Full breakdown at Cluster Blogs.

Can you trust an AI that runs on someone else's servers?

This Fri, 29th May at 2:30 PM UTC, Cluster Protocol is hosting Roundtable #3.

Your prompts, your data, your business logic, all hitting infrastructure you don't control. We're unpacking what that actually means for builders, users, and the future of AI infra.

Top 10 questions win $10 each from a $100 pool.

🔹Follow Cluster Protocol & LLMTune.io,
🔹Drop your best question about AI trust and infrastructure below along with your EVM wallet address and
🔹Tag 3 of your frens in the comments.

ft.
~ Saad Alenezi, Founder & CEO, LLMTune.io
~ Sagar, Founder, HeyAnna
~ Maurice, Head of Spaces, AlphaWire
~ Cantzzx, BD Head, Nebulai
~ Mike Gault, CEO, Unicity
~ Pratik, CTO & Co-founder, NodeOps Network
~ Goku, Digital Marketing Lead, ENI
~ Lucas Martin Calderon, Founder & CEO, kash
~ CryptoΞmpress, CMO, ComplyOnce
~ Myo, CMO, GamePad

🔗 Space Link 👇🏻

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

Don't miss!

Most AI teams can't tell you exactly what their model was trained on, and that's not a knowledge gap, it's an infrastructure one.

Hugging Face solved data access brilliantly, getting datasets in front of researchers at scale when that was the right problem to solve.

The next problem is verifiability, not just where the data came from but who verified it and whether you can trace what actually shaped your model.

Read more here on how Cluster Protocol's private AI infra stack is built around this.

Cluster Protocol whitepaper is LIVE.

The private AI infrastructure layer, fully documented. How identity, payments, inference, and orchestration come together on Base.

Dive in: https://x.com/ClusterProtocol/status/2061784291588403430