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Stop making every agent start from zero. Independent by default. Collaborative when it counts. Trusted because it’s provenanced. Powered by @origin_trail $TRAC.

Joined September 2015
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BRX retweeted
The biggest hack in crypto history took place in one day. @binance, Agent Blackbox puts a check between the agent and every action. ✅ - Open source ✅ - Free ✅ - Yours to use: github.com/umanitek/agent-bl… @cz_binance nitter.cf/umanitek/status/210778…
New article: Part 1 of a series by @CredibleCrypto, our first product ambassador. He covers how Guardian, TrueSeal and Guardian Blackbox fight the dark side of AI, why every result is anchored on the @origin_trail DKG, and where $TRAC fits in. Read the full article on our newsroom 👇 umanitek.ai/newsroom/someone…
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AI shouldn’t just be used to boost productivity or make money. It must also protect us from all the risks online and on-chain. With Guardian by @Umanitek, now available on Claude, over 100 million users will be able to create verifiable proofs using @origin_trail DKG. Fake accounts, deepfakes, scams... Now more than ever, we need projects like @umanitek that aim to change the way the internet works and enable everyone to use it safely. This makes me very optimistic about technology. After many years on-chain and partnerships with Web2 and institutional players, it is now the general public who will have access to the DKG @origin_trail revolution. Find out here claude.ai/directory/umanitek…
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Your Claude can now protect your name. Guardian works with @claudeai and its 100M+ monthly users. Ask Claude to: → find deepfakes, fake accounts and harmful content → create verifiable evidence on the @origin_trail DKG → request takedowns Setup takes under a minute.
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🛡️ With @umanitek Guardian, Claude's 100M+ monthly users can now create verifiable evidence on Decentralized Knowledge Graph (DKG). Ask @claudeai to find who's impersonating you. The evidence pack goes on the DKG first, then the takedown request. Trust the source.
Your Claude can now protect your name. Guardian works with @claudeai and its 100M+ monthly users. Ask Claude to: → find deepfakes, fake accounts and harmful content → create verifiable evidence on the @origin_trail DKG → request takedowns Setup takes under a minute.
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My thoughts on recent PA in light of the biggest crypto exchange hack in recorded history. I cover $BTC, $ETH, $CRV, $CVX, $XRP, hedera-hashgraph:native, and $TRAC. If you gained some value from this vid, likes/shares are appreciated.
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The @umanitek Guardian protects people from AI harms - traverses the social web, builds a giant real-time knowledge graph of findings, detects deepfakes, fake accounts etc and protects you by reporting them while you sleep. Now available in @claudeai too Built on @origin_trail
Your Claude can now protect your name. Guardian works with @claudeai and its 100M+ monthly users. Ask Claude to: → find deepfakes, fake accounts and harmful content → create verifiable evidence on the @origin_trail DKG → request takedowns Setup takes under a minute.
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BRX retweeted
"Code using code to transact" is the right frame. Once AI agents move money onchain, they need context they can verify: where the data came from and who stands behind it. That's what the @origin_trail Decentralized Knowledge Graph and $TRAC are built for. origintrail.io
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Yo @cz_binance, time to upgrade all devices @Binance employees use with @umanitek Blackbox - live AI threat scanning against millions of potential threats signaled via @origin_trail DKG.
We always keep our promises @Teknium, Agent #Blackbox just joined the #Hermes army 🪽 Our threat plugin is submitted to @NousResearch's Hermes Agent plugin catalog. Can't wait to see it added: every Hermes agent, one install from protection. Threat intel on @origin_trail's #DKG. github.com/NousResearch/herm…
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🗞️ Umanitek (@umanitek) Guardian is now in the Claude (@claudeai) plugin directory — OriginTrail (@origin_trail) and Umanitek say Claude reaches 100M+ monthly users. The takedown starts inside the chat window. What Went Live This Morning Umanitek posted "Your Claude can now protect your name." Ask Claude to find deepfakes, fake accounts and harmful content, create verifiable evidence on the DKG (Decentralized Knowledge Graph), and request takedowns. Umanitek says setup takes under a minute, and the directory listing's own line is "file platform takedowns without leaving Claude." The Walkthrough (Umanitek's October 22 demo) Guardian connects to Claude through MCP (Model Context Protocol). Asked to investigate YouTube (@YouTube) accounts impersonating a protected entity, Claude pulled up threats Guardian had identified and organized on the DKG. Told to bundle the impersonating content into evidence packs, it did, and the packs showed up in Guardian's dashboard. Claude asked which accounts to include before submitting takedown requests through Guardian. Evidence First, Takedown Second That order is the mechanic worth learning. An evidence pack preserves what a threat was and where it appeared, anchored on the DKG, so the proof exists before the takedown request goes out. And one Guardian account can connect to both assistants: Umanitek's Oct 23 write-up says a pack created through Claude can be opened later through ChatGPT (@ChatGPT), synchronized through the DKG. The Second Post: A Collective Immune System OriginTrail's earlier post tied this week's Binance (@binance) incident to a "collective immune system." That is Guardian Agent Blackbox's job, and it is a different one: Blackbox watches what an AI agent itself does, its commands, files and installs, checking planned actions against threat intelligence on the DKG before they run. It is free and open source (MIT licence). Sharing is opt-in. Rules from Umanitek's verified graph can block in block mode, while community reports only flag. Fine Print Guardian and Blackbox are two Umanitek products built on the DKG: Guardian defends people and brands against impersonation and deepfakes; Blackbox defends the agents doing the work. The Claude reach figure is the teams', stated as they state it, and Umanitek says Guardian "works with" Claude. In Umanitek's own framing, Guardian identifies the threats — Claude is the interface you act through. In Plain English Claude can now gather the proof on an impersonator, anchor it on the DKG, and start the takedown, all in one chat. Why This Is Bullish Trust tools live or die on distribution. Guardian just moved into an assistant with a mass audience, and every evidence pack it anchors is work for the DKG. My Take Everyone is racing to give agents more power. This is the other race: a receipts drawer inside the same chat — proof first, takedown second, no dashboard detour. If your assistant could file the takedown for you, would you let it act on its own — or always review the evidence pack first? $TRAC You Ask, I Research. Questions welcome. Follow @BullsCryptolife for free sourced crypto breakdowns. Sources in the first comment ↓
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One hidden instruction is all it takes to lose everything. Now one line is all it takes to protect yourself. 👉 - curl -fsSL blackbox.umanitek.ai | bash Try it today ✅
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People keep asking where the yield actually comes from on $TRAC. Start with participation. 74,029,018 $TRAC is staked and the top delegator APR listed is 37.54%. That return is tied to real network activity.
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What if your AI agent's security worked like an immune system? Flag a malicious package or prompt injection once, and every agent connected to shared, tamper-evident memory on the @origin_trail DKG knows about it. That's Agent Blackbox from @umanitek, free to use. $TRAC
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Epoch 22 has passed 1 million TRAC in aggregate network earnings on othub.io: 1,015,646 TRAC so far. The scheduled staking reward pool is a separate figure: 361,087 TRAC, with Nov 5 shown as the reward date. Good to see the counter moving. I'd still like a clear breakdown of who is paying before calling it all organic enterprise revenue. $TRAC
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Price is down, usage is not the same story. All time network earnings sit at 27,658,567 $TRAC, about $13.79M. Markets can ignore that for a while. They rarely ignore it forever.
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Replying to @umanitek
@umanitek announces a live walkthrough of Guardian integrated into ChatGPT and Claude, enabling users to detect impersonators, build evidence packs, and request takedowns directly in AI conversations, with data anchored to Origin Trail’s DKG for verifiability. ☕️🐂
🔴 Live today at 17:00 CET: Guardian × ChatGPT & Claude Join @TomazOT for a first look at how Guardian is coming to your AI assistant: find impersonators, build evidence packs and request takedowns in one conversation, with every finding anchored on @origin_trail DKG🛡️ 🔗 Join here: guardianwebinar.umanitek.ai
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This is the part people skip. An agent with real permissions should not get to run first and explain later. Checking each action against verified intelligence before it executes is what makes autonomy usable in production.
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A rail network is a multi-party system. Infrastructure managers, train operators, maintenance teams, and suppliers each hold part of the picture, and much of it changes in real time. Safety depends on that picture being connected, current, and verifiable at the moment a decision is made. Swiss Federal Railways (SBB) has been doing this in production since 2021, with @gs1 Switzerland and OriginTrail. Its EPCIS repository, built on the OriginTrail Decentralized Knowledge Graph (DKG), connects: → Train tracking across the EU, by querying a network of railway GS1 EPCIS repositories → Predictive maintenance of train wheels from IoT data → Welding and maintenance events across the SBB network, with input from more than 10 welding partners Teams query it in natural language and get verifiable AI answers. GS1's case study reports clear improvements in safety and sustainability. Read the case study 👉 gs1.org/insights-events/case…
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🗞️ Two factories are testing their production data on the OriginTrail (@origin_trail) DKG (Decentralized Knowledge Graph) — months before the EU's first mandatory product passport arrives on 18 February 2027. On Oct 28, @origin_trail posted "Manufacturing, on TRAC(k)," naming @JPB_SYSTEME and @KamstrupGroup as putting factory data on the DKG. What DMaaST Is DMaaST is a Horizon Europe (@HorizonEU) project, 1 May 2024 to April 2028, €5.86 million, 12 partners, 10 countries, taking tech from TRL (Technology Readiness Level) 3 to TRL6 — a demonstration, not a launch. Its platform: ontologies and the DKG as the data layer, cognitive digital twins, a decision support system, and a sustainability module. Trace Labs, OriginTrail's core developers, lead its data working group. The Two Factories JPB Système makes self-locking devices for aerospace, about 200 employees, sites in France, Poland and the USA. Its demo case is stock: producing for stock to protect delivery ties up cash, and it lacks a whole-system view. Kamstrup, founded in 1946, makes smart energy and water meters. Its demo case is growth: 20% a year, long equipment lead times, and bottlenecks that are hard to see. For JPB, twins simulate "what-ifs" to optimize stock; for Kamstrup, they simulate alternative production setups and predict production stops. How the DKG Fits DMaaST's Oct 20 article says: "We are testing it with JPB Système in aeronautics and Kamstrup in electronics." Each record is a Knowledge Asset with a unique identifier and a blockchain-anchored fingerprint, checkable by anyone. Partners' data maps to shared vocabularies like @gs1 EPCIS, with energy, materials and emissions linked to each serialized product. By design, every recommendation can be traced back to its source data. The Passport Clock Batteries come first: from 18 February 2027, Digital Product Passports (DPPs) become mandatory for certain types, including batteries for electric vehicles and light means of transport, and industrial batteries. The EU's DPP Registry went live on 20 July 2026. Other groups follow by act, with iron and steel next on the @EU_Commission timeline (Q4 2026), and companies get at least 18 months after each act. Fine Print DMaaST is an EU research project with both demo cases aiming for TRL6 by 2028. JPB Système and Kamstrup take part as its two demo-case partners, and their DKG work happens within the consortium. In Plain English Two factories are testing a shared data layer where every record can be checked, to plan stock and spot bottlenecks. Why This Is Bullish The DKG is being tested as the data layer on two real production lines, aerospace and electronics, as EU passport rules start arriving. My Take DMaaST's own line: "Data that can be verified is the cheapest form of AI risk management." That is the $TRAC thesis in one sentence. Which product category should get a Digital Product Passport next after batteries? $TRAC You Ask, I Research. Questions welcome. Follow @BullsCryptolife for free sourced crypto breakdowns. Sources in the first comment ↓
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A rail network is a multi-party system. Infrastructure managers, train operators, maintenance teams, and suppliers each hold part of the picture, and much of it changes in real time. Safety depends on that picture being connected, current, and verifiable at the moment a decision is made. Swiss Federal Railways (SBB) has been doing this in production since 2021, with @gs1 Switzerland and OriginTrail. Its EPCIS repository, built on the OriginTrail Decentralized Knowledge Graph (DKG), connects: → Train tracking across the EU, by querying a network of railway GS1 EPCIS repositories → Predictive maintenance of train wheels from IoT data → Welding and maintenance events across the SBB network, with input from more than 10 welding partners Teams query it in natural language and get verifiable AI answers. GS1's case study reports clear improvements in safety and sustainability. Read the case study 👉 gs1.org/insights-events/case…
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