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AI-native Market Intelligence Platform for Crypto, Stocks, Tokenized Assets & Macro - all agentic || New platfom dropping - $SPECTRE. Backed by @GoogleStartups

Joined August 2023
Photo by SPECTRE AI (@Spectre__AI)Photo by SPECTRE AI (@Spectre__AI)Photo by SPECTRE AI (@Spectre__AI)Photo by SPECTRE AI (@Spectre__AI)Photo by SPECTRE AI (@Spectre__AI)Photo by SPECTRE AI (@Spectre__AI)Photo by SPECTRE AI (@Spectre__AI)Photo by SPECTRE AI (@Spectre__AI)Photo by SPECTRE AI (@Spectre__AI)Photo by SPECTRE AI (@Spectre__AI)
Spectre AI Market Intelligence Platform Beta officially launches on 28.05.2026. All registered Beta users will receive platform access on this day. This marks our first live product iteration with real users - focused on community feedback, platform performance, user experience, and how people actually use market intelligence in real trading and research environments. The goal of this Beta is simple: build alongside the community, improve fast, and shape the platform around real-world usage. For security reasons, no public access links will be posted. Access will be distributed directly to approved Beta users. A major milestone for Spectre AI and the beginning of a much bigger public rollout ahead. $SPECTRE
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Spectre MCP in action. Test it in Claude today. Real-time data bank that supersedes traditional and dated web searching.
Spectre AI MCP is LIVE 〽️ A world of market intelligence beyond a web search. Your AI is only as informed as the data it can reach. Give it deeper data, and you can ask deeper questions. Now you can connect Spectre to ChatGPT, Claude and other MCP-compatible AI assistants, putting Spectre’s extensive market datasets, social intelligence and analytical tools directly behind your prompts. Crypto. Stocks. Macro. Tokenized assets. From the majors to microcaps and the conversations developing beneath the headlines. This is where the edge comes from. A standalone LLM doesn’t automatically have access to Spectre’s data banks. Searching the web doesn’t recreate the history, structured datasets and social signals Spectre collects and connects. With Spectre MCP, your AI can investigate: → Social momentum: which tokens are attracting attention, how quickly mentions are growing, how many different people are participating and how the activity scores for signal quality. → Emerging narratives: the communities, sectors and smaller projects gaining traction deeper in the market. → Market positioning: prices, volume, funding rates, open interest, liquidations and technical analysis. → The bigger picture: ETF flows, macro events, liquidity conditions and tokenized real-world assets. → The risks behind the excitement: contract controls, holder concentration and upcoming token unlocks. And you can turn that research into a live dashboard, built from a simple prompt. “Find AI tokens on Ethereum under $10M. Compare their social activity, trading volume and contract risks.” “Is this breakout supported by broader attention, or concentrated chatter?” “Build me a dashboard with BTC, ETH, NVDA, funding rates and the next Fed meeting.” These are questions that need connected evidence. Price alone tells you one part of the story. Social activity adds another. Positioning, catalysts and risk checks help you put it together. That’s what Spectre brings into the AI you already use: the ability to move from a broad question into a deeper investigation, including the corners of the market that rarely make the front page. The model brings the reasoning. Spectre brings the market depth. Same AI. A much bigger field of vision. #ai #mcp #claude #chatgpt #google #AIAgents
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Spectre AI MCP is LIVE 〽️ A world of market intelligence beyond a web search. Your AI is only as informed as the data it can reach. Give it deeper data, and you can ask deeper questions. Now you can connect Spectre to ChatGPT, Claude and other MCP-compatible AI assistants, putting Spectre’s extensive market datasets, social intelligence and analytical tools directly behind your prompts. Crypto. Stocks. Macro. Tokenized assets. From the majors to microcaps and the conversations developing beneath the headlines. This is where the edge comes from. A standalone LLM doesn’t automatically have access to Spectre’s data banks. Searching the web doesn’t recreate the history, structured datasets and social signals Spectre collects and connects. With Spectre MCP, your AI can investigate: → Social momentum: which tokens are attracting attention, how quickly mentions are growing, how many different people are participating and how the activity scores for signal quality. → Emerging narratives: the communities, sectors and smaller projects gaining traction deeper in the market. → Market positioning: prices, volume, funding rates, open interest, liquidations and technical analysis. → The bigger picture: ETF flows, macro events, liquidity conditions and tokenized real-world assets. → The risks behind the excitement: contract controls, holder concentration and upcoming token unlocks. And you can turn that research into a live dashboard, built from a simple prompt. “Find AI tokens on Ethereum under $10M. Compare their social activity, trading volume and contract risks.” “Is this breakout supported by broader attention, or concentrated chatter?” “Build me a dashboard with BTC, ETH, NVDA, funding rates and the next Fed meeting.” These are questions that need connected evidence. Price alone tells you one part of the story. Social activity adds another. Positioning, catalysts and risk checks help you put it together. That’s what Spectre brings into the AI you already use: the ability to move from a broad question into a deeper investigation, including the corners of the market that rarely make the front page. The model brings the reasoning. Spectre brings the market depth. Same AI. A much bigger field of vision. #ai #mcp #claude #chatgpt #google #AIAgents
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Join the Spectre Beta. Go to the platform and find Spectre MCP in the sidebar. Follow the steps to connect. spectreai.io
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You won’t find this indicator anywhere else. Spectre’s OTHERS2 tracks tokens ranked 101–4,000 by market cap. This is spefically to "microcaps" and not to all "altcoins". This excludes majors like Ethereum, Solana and BNB. The major move that began around August 20 remains intact despite the retrace. While $BTC and $ETH absorb wave after wave of macro headlines, microcaps are holding the line. Midterms. $NVDA “Spygate” headlines. Oil. Wars. Yet beneath the noise, conviction is still there. Speculative appetite hasn’t disappeared. An early sign of strength before the next leg up, or more sideways action ahead?
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Spectre AI MCP is now live for beta testers inside the Spectre platform Spectre AI MCP is now live for beta testers inside the Spectre platform Official MCP video announcement drops tomorrow.
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Why the Market Is Selling Off, And What Could Make It Bounce Back? This started in #stocks, not in crypto. Bitcoin sat near $80,000 until the US session got going, then dropped toward $76,500 as the #Nasdaq 100 fell more than 4% and the S&P 500 lost 2.6%. The VIX jumped about 40% in that initial move. The centre of it is the AI trade. AMD dropped 14%, Qualcomm and Arm around 11%, Tesla 9% and Nvidia 6%. Qualcomm’s smartphone business disappointed, while Arm’s royalty revenue missed expectations and its guidance offered only a small beat. Investors are demanding more from the companies behind the AI buildout. The midterms matter too. #Democrats won both chambers of Congress and key governor races, including Texas and Georgia, where opposition to data centres featured in campaigning. Electricity bills, water consumption and pressure on local infrastructure are now political issues. Investors are pricing in the possibility of tighter approvals and construction delays. Yesterday’s relief rally has shifted into reassessing what those results mean for individual sectors. There is also Iran. Reports before the election described preparations for possible renewed US–Israeli strikes after the midterms. Trump said there were no immediate plans to attack, but escalation remains a risk. Further disruption to Gulf oil supplies could push energy prices and inflation higher, adding pressure to markets. Another concern is financing. Companies are borrowing heavily to fund #AI expansion while investors question how quickly that spending will generate returns. Borrowing costs do not need to rise today to remain a problem. What did not move matters too. The 10-year yield and dollar were broadly flat in the initial selloff, while some defensive stocks held up. That suggests rotation away from tech alongside wider risk reduction. #Crypto is trading with tech. Around $295M of longs were liquidated during the drop against $18M of shorts, making the move sharper. Spectre’s heatmap highlights potential liquidity zones around $75.2K and $73.7K below, with $81.85K and $83.45K overhead if a sustained recovery develops. These are modelled concentrations, not guaranteed targets. So what could make it bounce back? Tech finding buyers, credible de-escalation around Iran and a jobs report showing cooling wage pressure without a growth scare would help. If forced liquidations slow and spot demand returns, conditions for a rebound improve. A liquidity sweep followed by a strong reclaim would be an encouraging sign. Next up is the US jobs report tomorrow at 13:30 UTC. This is the type of information you get from Spectre: market data, earnings, politics, macro and liquidity connected to help you understand the move and what could come next. The live read is on the Why page, alongside the liquidation heatmaps in the Spectre app. Not financial advice.
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The next plan of adopting technology through the Market space. Web3 Directories for every projects, AISEO infused, keychains for every project, keychains for every investor. Every project gets its own information, links, charts, latest news, tweets, social connections, AI agents, and widgets. SpectreID. Projects can claim their Pro settings. ethereum:0x9cf0ed013e67db12ca3af8e7506fe401aa14dad6
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Democrats win control of Congress. Markets rebound after an overnight sell-off. Bitcoin back above $80,000. ETH up around 6% in 24 hours. US stocks rallying, Treasury yields easing and shorts getting squeezed. On days like this, the sequence matters. What broke first? When did prices react? Where did liquidations accelerate the move? Spectre’s Why brings the headlines, price action and positioning into one live timeline, with the sources behind it. If you’re watching the market and wondering why, there’s a place for that. app.spectreai.io/why
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$112B added to crypto in the last 24h Crypto market $2.73T · +4.16% 24h Top 250 coins ex-stables $2.42T · +4.84% cap-weighted. Led by $BTC +$73.9B · $ETH +$18.3B · $XRP +$3.95B
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Your next question could make Spectre Search smarter for everyone. We built an autonomous search engine that evolves with the people using it. Ask something it can’t answer yet, and the system logs the question, identifies the gap and automatically adjusts its data systems. Every 12 hours, it updates itself to expand what it can answer. Your curiosity helps shape what Spectre learns next. One person’s question becomes something the whole community can discover. A digital Flubber. Constantly adapting, taking shape around the people interacting with it. We’re expanding Spectre Search every day. And every time you search, you’re helping build it. search.spectreai.io
You can spend hours researching a crypto project and somehow learn more about its next price target than how it actually makes money. We built Vitals on Spectre to make that part easier. We now track over 2,200 protocols, including pump.fun, @tether, FOMO, @Uniswap, @HyperliquidX and @Polymarket. You can see what they generate in fees, how much they keep as revenue and how those numbers are changing. Explore the rankings, dig into individual platforms or compare up to four side by side. Put @Pumpfun next to @fomo, for example, and see how a difference in fees translates into actual revenue. You can also ask Monarch or Spectre Search directly. Questions like “How much revenue does pump.fun generate?” or “How does it compare with FOMO?” bring the same Vitals data into the conversation. When someone calls a project “the next big thing,” you have somewhere to check whether the numbers support the excitement. Explore Vitals under Research on Spectre, or ask through Monarch and Spectre Search.
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You can spend hours researching a crypto project and somehow learn more about its next price target than how it actually makes money. We built Vitals on Spectre to make that part easier. We now track over 2,200 protocols, including pump.fun, @tether, FOMO, @Uniswap, @HyperliquidX and @Polymarket. You can see what they generate in fees, how much they keep as revenue and how those numbers are changing. Explore the rankings, dig into individual platforms or compare up to four side by side. Put @Pumpfun next to @fomo, for example, and see how a difference in fees translates into actual revenue. You can also ask Monarch or Spectre Search directly. Questions like “How much revenue does pump.fun generate?” or “How does it compare with FOMO?” bring the same Vitals data into the conversation. When someone calls a project “the next big thing,” you have somewhere to check whether the numbers support the excitement. Explore Vitals under Research on Spectre, or ask through Monarch and Spectre Search.
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We have added more visual functionality to the privacy page on the platform. Users can toggle between price, revenue, and social momentum in order to gauge which ones to track and follow based on the desired parameters. $ZEC #privacy
Our dedicated Privacy page is now LIVE & Deployed on Spectre AI. We have been speaking about privacy for years, and recent events are bringing renewed urgency to the conversation. As the sector gains attention, investors need a clearer view of the projects, economics and developments behind it. The page brings established protocols and emerging projects into one place, with comparisons across revenue, fees, market share, performance and market positioning. You can explore who is building, which applications are generating revenue, and how privacy compares with the wider crypto market. We recently joined @NullMaskio ($MASK) and @avax for a livestream hosted by @HelloBenWhite to discuss these very developments. Nullmask is an interesting example, with the board currently showing $1.13 million in app revenue over the past 30 days. Being able to follow those figures over time and compare them with other privacy protocols gives investors valuable context. We are also expanding the social intelligence around privacy, making it easier to follow who is talking, how sentiment is developing and how that attention relates to the underlying activity. We want investors to connect these pieces and form their own investment thesis, with enough context to understand both an individual project and the sector’s place in the broader market. Explore the Privacy page: app.spectreai.io/privacy-boa… ethereum:0x9cf0ed013e67db12ca3af8e7506fe401aa14dad6
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Happy Halloween, Spectres. 🎃 Enjoy the festivities. If you’re staying in for “one last look at the charts,” we’ve added Halloween themes to Spectre. Bats, pumpkins, the works. The market handles the jump scares. We handle the atmosphere. #halloween ethereum:0x9cf0ed013e67db12ca3af8e7506fe401aa14dad6
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Our dedicated Privacy page is now LIVE & Deployed on Spectre AI. We have been speaking about privacy for years, and recent events are bringing renewed urgency to the conversation. As the sector gains attention, investors need a clearer view of the projects, economics and developments behind it. The page brings established protocols and emerging projects into one place, with comparisons across revenue, fees, market share, performance and market positioning. You can explore who is building, which applications are generating revenue, and how privacy compares with the wider crypto market. We recently joined @NullMaskio ($MASK) and @avax for a livestream hosted by @HelloBenWhite to discuss these very developments. Nullmask is an interesting example, with the board currently showing $1.13 million in app revenue over the past 30 days. Being able to follow those figures over time and compare them with other privacy protocols gives investors valuable context. We are also expanding the social intelligence around privacy, making it easier to follow who is talking, how sentiment is developing and how that attention relates to the underlying activity. We want investors to connect these pieces and form their own investment thesis, with enough context to understand both an individual project and the sector’s place in the broader market. Explore the Privacy page: app.spectreai.io/privacy-boa… ethereum:0x9cf0ed013e67db12ca3af8e7506fe401aa14dad6
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North Korea. @cz_binance. Binance hack. $6.3 billion. A lot to take in over the past 24 hours. Yesterday’s Binance hack, investigators linking it to North Korea, CZ responding, and a timeline full of updates as everyone tries to understand what happened. A few days ago on our livestream, we spoke about something that feels especially relevant today: how privileged we are to have the access to information we now have. Much of what we can follow from our phones once belonged on a Wall Street desk, behind expensive terminals and closed doors. Most people would read about it later in the newspaper. Today, we can watch events unfold, hear directly from the people involved, and examine the data ourselves. It’s easy to take that for granted when the timeline feels overwhelming. But being able to understand more, question more, and make better-informed decisions is a remarkable change. Of course, access brings its own challenge. There is so much coming at you that sometimes you need help putting the pieces together. Yesterday, we saw the story appearing across Spectre in different places, through different ways of presenting the data. Watching those pieces come together reminded me why we started building this. Our thesis remains the same: make market information accessible and help people make sense of it. There are real people worried about their money behind these headlines. Having a clearer picture matters, especially on days like this.
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That is all we will show for now. Something entirely different.
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Spectre Push is incoming. An AI adaptive interface that adapts to the user.
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If you missed the next saga of the Crew this weekend. Here it is.
June’s Birthday. Chapters 4-6. The Crew lets Spectre to watch the markets this weekend. "The market will still be there tomorrow." The Crew is ethereum:0x9cf0ed013e67db12ca3af8e7506fe401aa14dad6 ’s five AI agents, each with their own personality and story, connected to each other and Spectre’s 1,000 endpoints through The Brain. They’re deliberately given room to experiment and get things wrong through paper trading, learning from losses and adjusting their approach like any trader, as they work towards autonomous trading.
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