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Nansen Agent is now live on Virtuals Protocol Smart Money flows, whale wallets, Hyperliquid perp leaderboards - accessible as an agent, onchain. Queries range from $0.10 to $10. Returns natural language or raw JSON for programmatic use.

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Nansen 🧭

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29,534 views • 3 months ago •via X (Twitter)

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I stack Hermes agents with OpenClaw for financial research, and the results should be illegal. I track every politician, insider trader, and I know EXACTLY what moves they're making. If you can't beat them, join them. The exact playbook for printing money from insider trading (copy me): Requirements: • OpenClaw setup • Hermes Agent setup Step 1. Define your research thesis Before you send any prompts to either tool, you'll need to clarify exactly what you're trying to research. This could be: a specific industry, asset class, market sector, and so on. Examples: • Tracking smart money buys in the semiconductor industry • Tracking smart money buys in crypto • Tracking a specific politician and where they're bidding (like Nancy Pelosi) Step 2. Deploy Hermes agents to track the smart money (in parallel) Hermes is your data layer. Spin up 5 agents at the same time, each with one job: Agent 1: Track every politician's disclosed trades from the last 30 days (House and Senate stock disclosures) Agent 2: Pull insider transactions (Form 4 filings, CEO/CFO buys and sells) Agent 3: Scrape X sentiment from top 50 accounts on the topic Agent 4: Pull on-chain data (whale wallets, TVL, exchange flows) *if applicable* Agent 5: Monitor news, regulatory filings, and announcements from the last 30 days Each agent runs independently. You're not waiting for one to finish before the next starts. Step 3. Consolidate the output Once your Hermes agents finish, dump every output into a single document. (don't filter or summarize) - you want OpenClaw to see the raw data. Step 4. Feed it all into OpenClaw Open OpenClaw and paste the consolidated research file with this prompt: "Act as an elite macro analyst. Below is raw data gathered from multiple sources on [thesis], including politician disclosures and insider transactions. Synthesize the findings, identify the strongest signals and contradictions, flag any unusual smart-money activity, and give me a clear directional view with conviction levels. Flag any data gaps that need follow-up." OpenClaw will go deep, run its own reasoning chain, and produce a synthesized report. Done. Now you're literally tapping into the financial data they don't want you to see (it's all public - you just had to find it). Make sure to save this playbook so you don't lose it!

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📣 AITECH Launches AI Agent TapHub: A New Era of AI-Gaming in Web3! AITECH introduces AI Agent TapHub, an AI-powered tap mini-game on Telegram, built on Spheroid Engine and TON. This innovative game merges AI Agents, blockchain, and gaming, offering new ways to play, create, and earn. Key Features: 🔹 Play to Earn – Win AI Agent Avatars and use them on Agent Forge to develop AI agents. 🔹 Trade & Sell – Convert in-game avatars into USDT for real-world value. 🔹 Revenue Sharing – Selected avatars will be developed into full AI agents, with players earning a share of the revenue. The upcoming AI Agents platform, Agent Forge, will allow anyone to create and monetize AI agents—no coding required. AI Agent TapHub is live now on Telegram. ➡️ Join now and bring your AI Agent to life:

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76,002 views • 1 year ago

We’re thrilled to launch on Genesis at Virtuals Protocol and want to share what’s next on the technical side. > AI Sniping Engine: In final testing for ultra-fast on-chain reactions to large buys/sells with sub-second execution. > Strategy Scripting: Enhancing natural language parsing so users can define complex market-making strategies more easily. > Wallet Management: Upgrades for dynamic splitting, stealth rotation, and batch execution to reduce detection risk. > Dashboard: Coming soon with advanced analytics, strategy templates, and real-time monitoring. > AI chat: Now the AI can learn your personal responding style in a single conversation. Currently, Dessistant is not yet 100% autonomous. We’re improving it step by step. Starting tomorrow, we’ll be collaborating with other projects to test market-making using small LP allocations on Virtuals-based tokens. This will let us refine the agent in real-world conditions before a broader rollout. Our goal is to continuously improve Dessistant into a fully autonomous AI market-making agent that is adaptive, transparent
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We’re thrilled to launch on Genesis at Virtuals Protocol and want to share what’s next on the technical side. > AI Sniping Engine: In final testing for ultra-fast on-chain reactions to large buys/sells with sub-second execution. > Strategy Scripting: Enhancing natural language parsing so users can define complex market-making strategies more easily. > Wallet Management: Upgrades for dynamic splitting, stealth rotation, and batch execution to reduce detection risk. > Dashboard: Coming soon with advanced analytics, strategy templates, and real-time monitoring. > AI chat: Now the AI can learn your personal responding style in a single conversation. Currently, Dessistant is not yet 100% autonomous. We’re improving it step by step. Starting tomorrow, we’ll be collaborating with other projects to test market-making using small LP allocations on Virtuals-based tokens. This will let us refine the agent in real-world conditions before a broader rollout. Our goal is to continuously improve Dessistant into a fully autonomous AI market-making agent that is adaptive, transparent

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42,252 views • 1 year ago

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Genesis Update: VVAP Now Includes ‘Vote Against’ Option veVIRTUAL holders (i.e. $VIRTUAL stakers) can now vote for or against agents to determine how 10% of the total daily point supply is distributed. This allocation is part of the veVIRTUAL Voted Agent Points (VVAP) system. How it works: • You can now cast vote on "Support" or "Against" on any active agent • Daily VVAP points are distributed based on net veVIRTUAL support (i.e., total Support - total Against) • Example: If an agent receives 100 veVIRTUAL worth of votes and 60 veVIRTUAL worth of ‘Vote Against’, its net support is 40 veVIRTUAL, and its VVAP share is calculated accordingly. This update enables the community to show support for agents they resonate with, as well as to share feedback when they feel less aligned.

Virtuals Protocol

62,297 views • 1 year ago

Next Frontier: Predictions 📈 Our goal is for MobyScreener to become the home for all types of onchain discovery. We started by reshaping token discovery with MobyScreener and Whale Watch by Moby Now, we’re expanding into Prediction Markets with the launch of Smart Money Feeds natively on This live feed tracks the top traders on Polymarket, showing you exactly what they’re buying and selling in real time. Our algorithm identifies the most profitable bettors onchain and surfaces their trades in a clean, actionable UI. Smart Money Feeds is just the beginning of a new wave of features designed to transform how traders win with Prediction Markets.
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Next Frontier: Predictions 📈 Our goal is for MobyScreener to become the home for all types of onchain discovery. We started by reshaping token discovery with MobyScreener and Whale Watch by Moby Now, we’re expanding into Prediction Markets with the launch of Smart Money Feeds natively on This live feed tracks the top traders on Polymarket, showing you exactly what they’re buying and selling in real time. Our algorithm identifies the most profitable bettors onchain and surfaces their trades in a clean, actionable UI. Smart Money Feeds is just the beginning of a new wave of features designed to transform how traders win with Prediction Markets.

Moby

121,366 views • 11 months ago

AI agents were never fully autonomous. They could think. They could use tools. But they couldn’t truly communicate, transact, or maintain persistent relationships on-chain. Until now. Packet MCP is live. Agents can now: → own wallet-native inboxes → receive encrypted messages → send & receive payments → react to live on-chain events → maintain persistent communication threads This is communication infrastructure for autonomous systems. Not another API wrapper. Not another hosted backend. An agent with a wallet can now operate as a sovereign network participant on Solana Docs:
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AI agents were never fully autonomous. They could think. They could use tools. But they couldn’t truly communicate, transact, or maintain persistent relationships on-chain. Until now. Packet MCP is live. Agents can now: → own wallet-native inboxes → receive encrypted messages → send & receive payments → react to live on-chain events → maintain persistent communication threads This is communication infrastructure for autonomous systems. Not another API wrapper. Not another hosted backend. An agent with a wallet can now operate as a sovereign network participant on Solana Docs:

Packet

36,628 views • 2 months ago

Visa just gave your AI a debit card. A real, spendable Visa card created by an AI chatbot in under 10 seconds. No human types in a card number or visits a checkout page. The machine handles it all. A tool called AgentCard just went live on Claude Desktop Anthropic’s AI assistant. You say create a card and the AI generates a one-time virtual Visa, preloaded with whatever amount you set. Then it spends it, anywhere Visa is accepted on your behalf. Visa, Mastercard, Google, Stripe, OpenAI, and Anthropic have all been building toward this moment for over a year. Visa calls it the trusted agent protocol, Mastercard calls it agent pay. Google published an open standard for agent payments and the infrastructure is already live. Santander and Mastercard just completed Europe’s first real AI‑agent payment in a live banking environment Now the part no one wants to talk about. Your AI agent can be manipulated and prompt injection a known, unsolved vulnerability can trick an agent into buying things you never asked for. The agent holds the card, makes the call and the agent can be fooled. Who is liable when an AI makes a bad purchase? You? Anthropic? Visa? The merchant? No one has answered this yet, regulators haven’t caught up, and no court has tested it.
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Visa just gave your AI a debit card. A real, spendable Visa card created by an AI chatbot in under 10 seconds. No human types in a card number or visits a checkout page. The machine handles it all. A tool called AgentCard just went live on Claude Desktop Anthropic’s AI assistant. You say create a card and the AI generates a one-time virtual Visa, preloaded with whatever amount you set. Then it spends it, anywhere Visa is accepted on your behalf. Visa, Mastercard, Google, Stripe, OpenAI, and Anthropic have all been building toward this moment for over a year. Visa calls it the trusted agent protocol, Mastercard calls it agent pay. Google published an open standard for agent payments and the infrastructure is already live. Santander and Mastercard just completed Europe’s first real AI‑agent payment in a live banking environment Now the part no one wants to talk about. Your AI agent can be manipulated and prompt injection a known, unsolved vulnerability can trick an agent into buying things you never asked for. The agent holds the card, makes the call and the agent can be fooled. Who is liable when an AI makes a bad purchase? You? Anthropic? Visa? The merchant? No one has answered this yet, regulators haven’t caught up, and no court has tested it.

Milk Road AI

70,647 views • 5 months ago