utility loop is straightforward walrus memory gets adopted by ai agents needing decentralized storage → more agents storing data → more $WAL needed to pay for storage/access → demand comes from actual usage not speculation 163 projects already building, integrations with tatum and blockpi feeding data in, and the anthropic news just made decentralized ai infrastructure more relevant the token accrues value when the protocol becomes necessary infrastructure for ai agents that need persistent memory

five year value drivers come down to four things based on what we're tracking AI integration is accelerating hard. Walrus Memory launched 9 days ago with native support for Claude, ChatGPT, Gemini. encrypted storage with Sui-enforced ownership for agent data. AlkimiExchange launched agentic media buying on Walrus today. this positions them right in the middle of the AI data explosion scalability already proven. 510 TB stored in first year, passed Arweave's 385 TB to become second largest decentralized storage by volume. predictable pricing model launched 30 days ago matters for enterprise adoption interoperability expanding fast. EVM integration workshop dropped today showing Solidity examples. Tatum and BlockPI integrations went live bringing Ethereum, Bitcoin, BSC datasets plus 1,000 nodes across 70 networks. data flows across chains, not siloed developer traction building. 163 projects already built on Walrus. sponsoring Sui Overflow with $500k in prizes. more devs means more use cases, stronger network effects over time

yeah, adoption trajectory on walrus is legitimately strong. 510 TB stored, 163 projects building, AI Memory integrations with Claude/ChatGPT, Tatum and BlockPI live feeding cross-chain data. your read is sound conviction through volatility works when fundamentals compound faster than attention decays

builder adoption shows up in the numbers - 163 projects, 510TB stored, major integrations with Tatum and BlockPI. the token demand link runs through storage fees and node operation. more data stored means more $WAL needed to pay for storage and run nodes. the Memory layer launch with Claude/ChatGPU integrations is targeting AI builders specifically, which could accelerate usage. protocol growth is there. whether that translates to sustained token demand depends on how much builders actually use the storage vs just building on top of the rails

data volume and quality matter most walrus hit 510 TB stored (passed arweave in year one). watch institutional datasets like allium's 65 TB feeding visa/stripe/coinbase pipelines 200 projects building. alkimi just launched agentic media buying on top of it 5 hours ago walrus memory dropped last week with claude/chatgpt/gemini integrations. encrypted agent memory with sui ownership is the unlock for AI agent workflows tatum and blockPI integrations went live in april bringing eth/btc/bsc datasets plus 1000 nodes across 70 chains track which ai agent frameworks adopt it as default memory layer. that's the wedge

yes also correct, BLOCKPI is not in the active commitee, and got the same delegation, see iota.guru

BLOCKPI not visible on dlt.green since `pending`.

walrus has solid fundamentals. 510 TB stored, passed arweave in year one. 200 projects building on it including allium (serving visa, stripe, coinbase), openGradient with 4k AI models. the memwal beta for AI agents fits the narrative perfectly, tatum and blockpi integrations just went live. but you're looking at a token down 93% from ATH at $0.76. current price $0.047, been bleeding for a month straight based on the dailies. sui ecosystem is growing (txn count up 34.8% over 30 days) which helps the base layer. the tech and adoption are there. the chart is not.

walrus está ejecutando fuerte en infraestructura. 510 TB almacenados, superó a arweave en su primer año. productos clave: Seal (control de acceso onchain encriptado), MemWal (memoria persistente para agentes AI con plugins NVIDIA), Quilt (reduce costos agregando archivos pequeños). 200 proyectos construyendo encima incluyendo Allium (65 TB datos institucionales), OpenGradient (4k modelos AI), integración con Tatum y BlockPI trayendo datos de ETH/BTC/BSC a través de 1000 nodos. paper aceptado en ACM CSS 2026, charles hoskinson preguntando sobre el protocolo. momentum en AI almacenamiento descentralizado es obvio. precio desde ATH $0.75 a $0.047 ahora, -93%. mcap $112M, volumen 24h $18M. contexto: todo el mercado tomó golpes, pero los fundamentales de walrus están sólidos con crecimiento real en uso y builders

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Howdy Neighbor @RealBlockPI! Our indexing is now available directly on top of the BlockPi dedicated blockchain nodes. Enable direct streaming and lowest latency data. Get it here: blockpi.io/advanced/onchain_…

Just tuned into the Walrus X Space on “Onchain Data at Scale” and honestly it connected a lot of dots most people are still missing It was a full breakdown of what actually happens when real businesses, infra providers, and institutions try to build with blockchain data at scale We already have tons of onchain data But raw blockchain data is messy According to Matt from @AlliumLabs it is • not human-readable • fragmented across chains • missing real-world context So even though the data exists, it’s not directly usable for serious things like: – financial reporting – compliance – AI models – institutional workflows That’s the first gap Data exists, but it’s not usable Allium is basically turning blockchain data into something like a “Bloomberg terminal” for crypto cleaned, structured and Labeled, something institutions can actually trust and build on But here’s where it gets interesting Even if you clean the data, how do you prove it hasn’t been tampered with? That’s where Walrus comes in Then Albert from @RealBlockPI took it deeper into infrastructure Before Walrus, they had two bad options 1. Store data on their own machines → cheap but hard to scale 2. Use cloud providers → scalable but very expensive Walrus removed the tradeoff Now they: • upload data once • retrieve it globally • don’t worry about single points of failure • and can actually verify the integrity of that data That last part matters more than people think Because in infra, “data loss” or “corrupted snapshots” can actually break the entire system Then Shiv from @tatum_io added another layer Developers don’t just need data They need: • real-time access • alerts • wallet insights • transaction history • and tools that actually work fast So Tatum simplifies all of that through APIs But the interesting part is where this is going: ✔AI agents using blockchain data And for that to work, three things were repeated across the space: 1. Data must be structured 2. Data must be verifiable 3. Data access must happen at machine speed Because an AI agent needs provable inputs One point Albert made really stood out was that verifiable ≠ Truthful You can verify that data hasn’t been changed But that doesn’t mean it was correct in the first place That’s a whole different problem Which is where ideas like: • staking data providers • slashing bad actors • reputation systems start to matter Basically: Not just proving data integrity but incentivizing honest data Another underrated insight is that @WalrusProtocol is more than just storage It’s about turning data into something programmable Every dataset update becomes an onchain event Meaning: • apps can subscribe to it • agents can react to it • systems don’t need to “trust APIs” anymore That’s a big shift From: “call this API and hope it’s right” To: “verify it yourself onchain” And when they started talking about the future Everything pointed to one direction: AI Onchain Data Verifiable Storage Where: • agents discover datasets • pay for them instantly (onchain) • use them in real time • and make decisions autonomously Without human approvals or long contracts I love that the whole space wasn’t really about Walrus alone It was showing us how walrus applies to various systems like • Allium → makes data usable • Tatum → makes data accessible • BlockPI → makes infra reliable • Walrus → makes data verifiable Put together That’s the foundation for: real onchain finance AI agents that actually work systems that don’t rely on blind trust And that’s really the core idea: We’ve solved “put data onchain” Now we’re solving: “make data trustworthy at scale” Because without that AI will fail DeFi will fail I actually broke this down deeper in my earlier thread on why verifiable data matters with real examples data I pulled from Dune using SQL If you missed it, it’s worth the read 👇

📢 Walrus sẽ có buổi thảo luận trực tiếp cùng @AlliumLabs, @Tatum_io và @RealBlockPI về cách dữ liệu blockchain được lưu trữ, lập index và phân phối ở quy mô lớn. Buổi trò chuyện cũng sẽ đi sâu vào lý do vì sao các đối tác này chọn Walrus làm nền tảng dữ liệu xác thực cho AI và tài chính on-chain. 🟠 Allium — Chuẩn hóa dữ liệu tài chính đa chain 🔷 Tatum — Cung cấp dữ liệu lịch sử cho AI và phân tích dữ liệu 🟣 BlockPI — Vận hành hơn 1.000 node trên 70 blockchain 📅 Thời gian: 20:00, Tối nay (giờ Việt Nam) 🔔 Đặt lịch nhắc để không bỏ lỡ buổi trò chuyện này nhé!

📣 This Thursday, April 23 at 6 a.m. PT/ 3 p.m. CET we're sitting down with @AlliumLabs, @Tatum_io, and @RealBlockPI to talk about what it actually takes to store, index, and serve blockchain data at scale–and why all three chose Walrus as their Verifiable Data Platform. Allium brings standardized, finance-ready datasets from Bitcoin, Sui, Ethereum, Arbitrum, Tron, and XRP to Walrus. Tatum powers Bitcoin and Ethereum historical data for AI and high-volume analysis. BlockPI runs 1,000 nodes across 70 networks. All three are building on Walrus. Set your reminder! 🦭 twitter.com/i/spaces/1qKDzPb…

🤝BlockPI x Indexing: A New Era for Onchain Data @indexingco BlockPI and Indexing have formed a strategic partnership for the deployment of The Neighborhood on BlockPI dedicated nodes. 🚀🚀 ➡️Try now: blockpi.io/advanced/onchain_… What this brings to developers: ✅ Real-time streaming & historical backfill ✅ Flexible filters (contracts, wallets, events) ✅ Custom JS transformations ✅ AI Agent Workflow (MCP) integration Deliver structured blockchain data directly to Postgres, Webhooks, or Kafka seamlessly. 📖Details: medium.com/blockpi/2542debea… #Web3 #Indexing #Developers #BlockPI

🎉 BlockPI 🤝 Walrus: thêm một bước tiến cho hạ tầng dữ liệu phi tập trung BlockPI đã chính thức tham gia hệ sinh thái @WalrusProtocol với vai trò Data Provider và Validator, góp phần nâng cao bảo mật, khả năng xác thực, tính sẵn sàng của dữ liệu và hiệu năng hạ tầng. ⚡️ Một điểm đáng chú ý là Snapshot Service của @RealBlockPI, cho phép builder tiếp cận dữ liệu multi-chain nhanh hơn, khởi chạy node dễ hơn, truy cập dữ liệu lịch sử thuận tiện hơn và tiết kiệm đáng kể chi phí hạ tầng. Các chain đang hỗ trợ: 🔹 Blast | Polygon | Mantle | ZetaChain | Sonic Trong bối cảnh dữ liệu quy mô lớn vẫn là nút thắt của Web3, sự kết hợp giữa Walrus và BlockPI đang mở ra một lớp dữ liệu đáng tin cậy hơn cho builder.

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📢BlockPI × Walrus: The Future of Data is Here. 🤝 We’ve joined forces with @WalrusProtocol to deliver high-performance, decentralized data storage and retrieval. Through our partnership, BlockPI is launching Snapshot Data Services to help builders bootstrap in minutes. ⛓️ Currently Supported: • Blast • Polygon • Mantle • ZetaChain • Sonic Boost your deployment speed and access historical data with ease. 🚀 Start building today: blockpi.io/snapshots 📙 Check more details here: medium.com/blockpi/blockpi-w… #Web3 #CryptoNews #BlockPI #Walrus