Data Intelligence Layer for DeFi AI Agents. Curate, structure, and deliver on-chain data, enabling your AI agents to see, learn, and act. Instantly.

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Post-Space notes: - Agents are generating the perfect training data and so closing the loop between that is going to be the biggest unlock this year. - Users still treat AI agents as a chatbot. They still don't understand the power and leverage of AI agents. - Many jobs should be shifted from execution to monitoring. - What's an agent without data? It's basically useless. More insights are coming!
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Replying to @TheMaran
it's so done
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Turn one clip into a reward. Clip any moment from today’s DeepBlockAI Space. 5 random winners get 1-month X Premium. How to enter: 1. Clip any moment from today's Space 2. Post it publicly 3. Tag @DeepBlockAI 4. Be on the DeepBlock waitlist Deadline: April 1, 15:00 UTC. Not on the waitlist yet? Fix it premint.xyz/deep-block/
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Going live in 2 hours. $470M in AI Agents on Base: real economy or just hype? We’re breaking down what’s actually working (and what’s not). Set a reminder → nitter.net/i/spaces/1nJOLEnRdXnxR… EXTRA: Giving away X Premium in the thread 👇
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New X Space is COMING! $470M flowing through AI agents on Base. Real economy or just narrative? 🗓 March 25 · 15:00 UTC @Cod3xOrg, @missiondotfun, @CreaoAI, @SecantXAI + @0xJarod 🎁 Don’t miss a chance to get rewards (details soon) nitter.net/i/spaces/1nJOLEnRdXnxR…
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Replying to @Baheet_
well well well, no going back from this
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“It's the speed in which it gained interest from a mainstream perspective.” On our last Space, @Argentum_aguila from @OptimaiNetwork shared what surprised him most about OpenClaw and how quickly it moved into the mainstream.
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Intelligence needs direction. Understanding why gives agents that direction. Context shapes decisions > decisions shape systems We give agents the why.
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Replying to @binji_x
this is some facebook era ragebaiting
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No context → no execution. Human takes becoming cheap.
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Insight #3 There’s hype, and then there’s proof. For @Smashe__, the real validation for OpenClaw is whether it generates real outcomes.
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Insight #2 A key theme around OpenClaw has been privacy and local execution. As @whizbeats shared, data staying on your own device was a big deal for him.
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Insight #1 When people talk about AI, they usually focus on the model. But as @OptimaiNetwork pointed out during the Space, the more important layer sits underneath it. It starts with the data agents learn from.
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We brought together sharp voices in AI to talk about OpenClaw. Here’s what actually stood out 👇
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We’re live in 2 hours. Talking about: – Did the hype outrun reality? – What proof would actually make you try it? – What does “success” even mean here? Set a reminder nitter.net/i/spaces/1AKEmOmgDWRKL…
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📢 New Space this week. OpenClaw. Experiment, breakthrough, or still early? Together with @Smashe__ from @MossAI_Official, @Argentum_aguila from @OptimaiNetwork, @whizbeats from @4aibsc, @CratD2C. Hosted by us and @0xJarod. 🗓 March 2, 15:00 UTC nitter.net/i/spaces/1AKEmOmgDWRKL…
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A 200ms delay feels invisible to a human. To an agent, that’s a whole lifetime.
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RobotFi insights — from our Space: - Better AI models and real demos are what made robotics stand out again - Robots already work best in structured, repetitive environments - CES showed AI moving beyond chatbots into physical devices - Robots need to be predictable, not perfect - Outside controlled settings, robots still rely heavily on humans BTW X Premium giveaway winners were selected 🎉 Missed it? Don’t miss the next chance. nitter.net/CurareCrypto/status/20…
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Every. Single. Deep Block. Every block adds something new to the chain Single agent sees only the end result of those changes DeepBlock turns each block into a clear snapshot, so agents always act with the full context in view. context → state → execution Join the waitlist: premint.xyz/deep-block
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Going live in ~3 hours. RobotFi Real perspectives from builders. 🎙️ w/ @flibberFDN, @Big_Viki, @mindkit_dao, @LazbubuAI, @Bullshot911, @EdgeAI_xyz 🎁 Live waitlist giveaway at the end Set a reminder and join us live.
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Replying to @MINHxDYNASTY
69000th follower here
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Let's talk about robotics and crypto. What’s actually happening, where this could land first, and how builders see it today. 📅 Feb 5, 15:00 UTC 🔗nitter.net/i/spaces/1OyJAjZaDybxb…
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Replying to @zeroxkyle
not sigma enough

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“AI should support decisions, but not make them for you.” @luizabr1402 from @PundiAI talks about where AI helps, and where replacing judgment quietly breaks trust. Listen ↓
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Replying to @hannahhughes
this statement can get you cancelled out here Mam
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Post-Space notes: - AI works best as a co-pilot. - Advice becomes risky when people stop questioning it. - Garbage data? Garbage AI. Every time. Big thanks to everyone who joined. More details ahead.
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Replying to @zeroxkyle
raising AI is easier then raising kids fr

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In 2.5 hours a live conversation on how people actually use AI Set a reminder → nitter.net/i/spaces/1LyxBXADlPWGN…
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Replying to @0xfoobar
vibe-eliminating brokies
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Starting the year with a simpler, more intentional approach to AI. What to keep. What to drop. How AI actually fits into daily work. A conversation worth having early in the year. 📍 January 15, 15:00 UTC 🔗 nitter.net/i/spaces/1djxXWqvaZvJZ…
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“This isn’t about trading yet.” @maxone_lens talks about why this phase is better for learning than chasing quick wins. Listen ↓
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Replying to @MINHxDYNASTY
Thanks for mentioning this, people get crazily inspired often
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Replying to @MINHxDYNASTY
Is phonk still a thing? Jinwoo will suit you

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“Why some prediction markets work and others don’t.” @NextonNode shares a simple reason signals disappear once attention spreads too thin. Clip ↓
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Replying to @ohdatskate
They have got multiple brains
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Replying to @Jampzey
So real for the Grindr

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Given the same environment, 10 different models converge on the same action because DeFi execution is a constraint problem. Structured data makes those constraints visible.
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Replying to @Jampzey
NEVER EVER

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Replying to @shivst3r
We are living in the Right side up, while the normies are living in the upside down

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Insight #3 Not everyone enters prediction markets as a trader. As @maxone_lens shared, he invests time and for him, this moment is about learning.
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Insight #2 @NextonNode on shared liquidity and why fragmentation kills signal.
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Insight #1 Numbers feel comforting because they settle things fast. As @Yashwannthh mentioned during the Space, once a number exists, people rarely look past it.
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We gathered some of the sharpest voices to talk about prediction markets. Here’s what builders actually think 🧵
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We made it! In 4 hours we’ll dive into prediction markets and what those odds really tell us. Set a reminder ↓ nitter.net/i/spaces/1LyxBXADlPWGN…
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A large share of failed swap routes fail before execution: — inconsistent pool snapshots — mispriced hops — missing fee tiers — wrong block height — partial liquidity reads Fix the data → fix the route. Agents only execute what the environment allows.
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Replying to @DUKETHAGREAT
That's the only option

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In 3 hours we’ll talk how prices influence decisions @Bullbitai, @maxone_lens also joining Set a reminder → nitter.net/i/spaces/1ZkJzZkeaQvJv…
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Replying to @big_duca
They are calling you

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