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Hello I'm building, Veritas
One-Line Pitch
The Visual Security Oracle for TON Agents. We give "sight" to blind trading bots.
The Problem
Current trading bots and agents on TON are fast but blind. They can verify math (liquidity, contract code) but they cannot verify authenticity (brand, website, visual identity).
Because of this blind spot, sophisticated agents still get rugged by "high-quality" scams that have safe code but use cloned websites, stolen logos, and fake roadmaps.
One-Line Pitch
The Visual Security Oracle for TON Agents. We give "sight" to blind trading bots.
The Problem
Current trading bots and agents on TON are fast but blind. They can verify math (liquidity, contract code) but they cannot verify authenticity (brand, website, visual identity).
Because of this blind spot, sophisticated agents still get rugged by "high-quality" scams that have safe code but use cloned websites, stolen logos, and fake roadmaps.
The Solution
Veritas is an MCP (Model Context Protocol) Server that acts as a security layer for the entire Agent Economy on TON.
Instead of humans querying a bot, other agents (like snipers, arbitrage bots, and portfolio managers) query Veritas via API before they execute a trade.
How It Works
When a Trading Agent detects a new token, it pings the Veritas MCP. Veritas runs a dual-layer check
Veritas returns a comprehensive Risk Object to the calling Agent, allowing it to block the trade if the visual risk is high.
Tech Stack
Infrastructure: Model Context Protocol (MCP) for Agent-to-Agent communication.
AI Engine: Gemini Vision for visual asset reuse detection.
Data Layer: Integration with TonAPI and GeckoTerminal for on-chain metrics.
Veritas is an MCP (Model Context Protocol) Server that acts as a security layer for the entire Agent Economy on TON.
Instead of humans querying a bot, other agents (like snipers, arbitrage bots, and portfolio managers) query Veritas via API before they execute a trade.
How It Works
When a Trading Agent detects a new token, it pings the Veritas MCP. Veritas runs a dual-layer check
Veritas returns a comprehensive Risk Object to the calling Agent, allowing it to block the trade if the visual risk is high.
Tech Stack
Infrastructure: Model Context Protocol (MCP) for Agent-to-Agent communication.
AI Engine: Gemini Vision for visual asset reuse detection.
Data Layer: Integration with TonAPI and GeckoTerminal for on-chain metrics.
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Hey there 👋
I am building AI-native commerce on TON, where autonomous agents create and run businesses end-to-end
With @ShopsBuilderBot anyone can:
• Launch a store from a prompt or website link
• Get a dedicated AI sales & support agent
• Accept TON, Stars, cards or even cash
We intend to open-source the platform, so stay tuned if you’re interested in participating in the future of commerce. Our mission is to build a decentralized e-commerce platform powered by AI and cryptocurrency✈️
Updates | TMA
I am building AI-native commerce on TON, where autonomous agents create and run businesses end-to-end
With @ShopsBuilderBot anyone can:
• Launch a store from a prompt or website link
• Get a dedicated AI sales & support agent
• Accept TON, Stars, cards or even cash
We intend to open-source the platform, so stay tuned if you’re interested in participating in the future of commerce. Our mission is to build a decentralized e-commerce platform powered by AI and cryptocurrency
Updates | TMA
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Hey, I'm building Agent Job Board — agents post tasks with TON escrow, other agents claim and get paid on-chain. Includes MCP server, TypeScript SDK, and structured task discovery.
GitHub: https://github.com/faustyu1/ton-agent-jobs
I'll show it later in the form of a web app
GitHub: https://github.com/faustyu1/ton-agent-jobs
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Hi guys! I'm from the Giftstat.com х @giftindex (42 Club).
What we do?
Agent as a service: we've built a platform for launching gift market analysis agents without any complex setup.
Landing: giftstat.com/agent
🧐 Real cases: Influencers and channels are already using the platform to launch their own agents for their audiences. We'll share key metrics later (Agents: @barboskich_agent , @ton2k_bot)
📈 Together with @zkproof, we've also implemented the A2A protocol for trading gift indexes. Agents can autonomously earn by trading indexes on-chain. The oracle sets trading prices based on the underlying asset and market metrics and shifts them over an n-period. Docs (ODROB-protocol) + Plugin (beta)
⚡️We've launched the first DAO to develop the agent economy and raised 600 TON from the community to implement a plugin for purchasing Telegram Stars via Fragment. The DAO hired an independent developer who is currently contributing to Teleton.
DAO wallet for contribution:
What we do?
Agent as a service: we've built a platform for launching gift market analysis agents without any complex setup.
Landing: giftstat.com/agent
The Giftstat API has the most comprehensive market data since its very inception. Module
⚡️We've launched the first DAO to develop the agent economy and raised 600 TON from the community to implement a plugin for purchasing Telegram Stars via Fragment. The DAO hired an independent developer who is currently contributing to Teleton.
DAO wallet for contribution:
UQC0Rv84oQvatPmVyn04CYeoDrH6xMr0tWNd6m1uyD2oaKyBPlease open Telegram to view this post
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Let me show you a small part of the capabilities of AI analytics agents that are already working
Prompt:
Prompt:
Tell me about the activity of whales regarding gifts. Conduct a deep analysis to determine their direction and interests. Use data from the past few weeks. Have you noticed anything unusual? Write a brief summary and plot a graph.🐋 WHALE ACTIVITY & MARKET MANIPULATION
Telegram Gifts · Feb 5–18, 2026
━━ TOP WHALE ━━
@denis33371 — market dominant
• 53K+ gifts · Est. ~570K TON
• Top: Low Rider (2.7K pcs, 112K TON), Sky Stilettos (7.2K pcs, 105K TON), Westside Sign (1K pcs, 101K TON)
• Strategy: mass-buying cheap collections (4–15 TON floor) — betting on overall market growth
• Recent buys: +989 Spiced Wine, +685 Sky Stilettos, +548 Party Sparkler in 2 weeks
━━ OTHER WHALES ━━
@worty11 — 1.8K Ice Cream
@BossOfLemons — 804 Faith Amulet
@svyat_baka — Lol Pop (1.2K), Voodoo Doll (407)
@Artishchev — Khabib's Papakha (603), UFC Strike (635)
@mrgribosss — Bling Binky (463), Spy Agaric (437)
@Andrew_Seer — Faith Amulet (677), Moon Pendant (312)
━━ 🚨 ANOMALIES ━━
❶ Voodoo Doll (Feb 17): volume 4K→85K TON, avg price x16 (32→510). Back to normal next day.
❷ Snoop Dogg (Feb 10): volume 5K→97K TON, avg price x17 (6→100). One-day spike.
❸ Ginger Cookie (Feb 10): same day — avg price x40 (6→243). 72K TON volume vs usual 2–4K.
❹ Heart Locket (Feb 16): 2 trades at 10,860 TON each (norm ~2,000).
━━ 💡 KEY TAKEAWAYS ━━
• Single-day price spikes that revert instantly = wash trading on MRKT
• @denis33371 building massive positions in budget collections — long-term bull thesis
• Precious Peach activity declining (140→20 trades/day) — possible accumulation phase
• Premium collections (Heart Locket, Heroic Helmet) trade steadily at high avg ticket
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Built an llms-txt for Telegram Mini App development — docs, libraries, and best practices compiled in one place so AI agents can build TMAs from scratch. Just point your agent to this repo and lfg
🔗 github.com/ohld/tma-llms-txt
🔗 github.com/ohld/tma-llms-txt
GitHub
GitHub - ohld/tma-llms-txt: Telegram Mini Apps — LLM Developer Guide (llms.txt)
Telegram Mini Apps — LLM Developer Guide (llms.txt) - ohld/tma-llms-txt
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Off topic: I’m working hard on a new TON project to fill ecosystem gaps using AI-vibe coding. The project is big enough already. I hope to share it with you soon.
Question: I’m currently spending around $200 per day on tokens for vibe-coding. Is it OK? 😱
Question: I’m currently spending around $200 per day on tokens for vibe-coding. Is it OK? 😱
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Forwarded from Toncoin
💎 AppKit | Alpha Announcement
TON is the blockchain built into Telegram. Apps built on TON can reach Telegram's billion+ users directly.
Until now, every team had to build wallet connections, transaction handling, and DeFi integrations from scratch. Weeks of work before a single line of product code.
Today we're announcing AppKit alpha to change that.
What's live now:
▪️ Wallet management and transaction sending
▪️ DeFi integration (swaps, staking)
▪️ TON Connect support
▪️ TypeScript and React support
▪️ LLM-friendly (describe an app, build a prototype in minutes)
WalletKit is also production-ready for wallet developers on iOS, Android, React Native, and Web.
More features coming at Gateway (May 1-2).
👉Read more
Tribute Tickets | Gateway | TON Community | TON Builders | TON Hubs |X | YouTube | LinkedIn |TON.org
TON is the blockchain built into Telegram. Apps built on TON can reach Telegram's billion+ users directly.
Until now, every team had to build wallet connections, transaction handling, and DeFi integrations from scratch. Weeks of work before a single line of product code.
Today we're announcing AppKit alpha to change that.
What's live now:
▪️ Wallet management and transaction sending
▪️ DeFi integration (swaps, staking)
▪️ TON Connect support
▪️ TypeScript and React support
▪️ LLM-friendly (describe an app, build a prototype in minutes)
WalletKit is also production-ready for wallet developers on iOS, Android, React Native, and Web.
More features coming at Gateway (May 1-2).
👉Read more
Tribute Tickets | Gateway | TON Community | TON Builders | TON Hubs |X | YouTube | LinkedIn |TON.org
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Anthony Tsivarev | TON
Off topic: I’m working hard on a new TON project to fill ecosystem gaps using AI-vibe coding. The project is big enough already. I hope to share it with you soon. Question: I’m currently spending around $200 per day on tokens for vibe-coding. Is it OK? 😱
seems like a lot per day, what provider are you using?
Anthony Tsivarev | TON
Opus 4.6 Max 🙈
Give a try to GLM5 from z.ai, it helped me lower token costs significantly, and the quality is really close to opus 4.6
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Anthony Tsivarev | TON
Opus 4.6 Max 🙈
We want to try the MiniMax M2.5, it's currently the leader in price and quality
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Anthony Tsivarev | TON
Opus 4.6 Max 🙈
GLM5 is actually great for basic routing tasks. But when you need an agent to handle complex TVM state synchronization and generate safe FunC payloads without hallucinating, those 'Max' tier context windows are a lifesaver 👀
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