DeepBlockAI @DeepBlockAI
Data Intelligence Layer for DeFi AI Agents. Curate, structure, and deliver on-chain data, enabling your AI agents to see, learn, and act. Instantly. premint.xyz/deep-block/ Join the Waitlist Now → Joined January 2025-
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The first AMA Spaces went interesting, dynamic and very productive We discussed the important narrative AI x Web3 (exactly what we are building now) The speakers shared valuable insights and a fresh look at the industry I recommend listening to everyone who is interested in…
The first AMA Spaces went interesting, dynamic and very productive We discussed the important narrative AI x Web3 (exactly what we are building now) The speakers shared valuable insights and a fresh look at the industry I recommend listening to everyone who is interested in…
🔥 Big X Spaces Alert! Talking AI × Web3 in Crypto Infra We’re going live with @utsav_ai from @Hive_Intel , @wxite from @Rivalz_AI , @Cointel_io & @3vo_me to dive into how AI is actually being used in crypto today, the wins, the bottlenecks & what’s next. 🗓️ Thursday, 4…
New Integration: @DeepBlockAI is integrating Hive MCP. With Hive MCP, DeepBlock enhances its ability to deliver curated, AI-ready blockchain intelligence, empowering autonomous agents to execute DeFi strategies, detect anomalies, and analyze cross-chain activity in real time.
Bad data is an invisible tax on your protocol. It’s in the trades you didn’t make because metrics lagged. It’s in the governance decisions based on stale dashboards. It’s in the exploits you didn’t see coming because your alerting missed a pattern. Every wrong decision has a…
Data ≠ information. Information ≠ insight. Raw blockchain logs are noise. To make them useful, you need: – Parsing – Context – Graph-level understanding Without all three, you’re not doing analytics — you’re just collecting facts.
Trustless ≠ truthful. Even on-chain data can be misleading if: – Indexers miss events – Parsers mislabel transactions – Data is pulled out of context Our checklist for trustworthy data: 1. Direct raw-chain access 2. Independent verification of every parsed event 3.…
AI experts are everywhere, but who can you really trust? Join us in tomorrow’s ThoroughScans sesh as we discuss "Growing AI Expert Networks Safely" Guest Speakers: @Freeman_Lewin @CurareCrypto @rthurding @vivekkolli @ashhh_singhh @pukecast @RugRadio 📅 26th August ⏰ 7:30…
Two teams can “analyze” the same chain — and produce entirely different truths. Data is never neutral. The way you collect, clean, and interpret it shapes the story you tell.
AI in DeFi today feels like search engines in 1995 — slow, fragmented, clumsy. In two years, your AI agent should be able to: – Read on-chain data in real time – Understand protocol mechanics without manual input – Execute transactions or strategies autonomously But that…
soon, your agent will talk to my agent — without us in the loop. – your lending bot asks my arbitrage bot for liquidity rates – my bot provides data instantly, without API throttles – they agree on a transaction, execute it, and split revenue
seems like shipping in Web3 is just: 1. building something nobody asked for 2. explaining why they should have asked for it 3. then watching someone fork it and call it theirs repeat.
We’re live! @CurareCrypto will break down our vision, architecture, and any alpha in between. Join! x.com/i/spaces/1BRJj…
Everyone’s trying to make agents “smarter.” And re-indexing every chain from scratch = not smart. @DeepBlockAI focused on making their environment understandable.
31,000+ Al agents. A rapidly growing ecosystem. A clear vision for our autonomous future. We are proud to partner with @WORLD3_AI and accelerate their vision. Outward.
The most sophisticated on-chain players don't just act. They leave a ✨ signature ✨ It’s a unique pattern woven from their gas usage, their preferred contract interactions, and the specific timing of their moves. It’s how they test a new protocol, how they split their funds…
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