Vinecrypt 📈

Another live proof completed. Today, @intentlock evaluated a transaction before execution. Instead of asking users to blindly trust an AI agent, every action had to satisfy predefined policies, permissions, and acceptance criteria before it could proceed. The result? ▪︎ User intent enforced. ▪︎ Evidence generated. ▪︎ Accountability built into the workflow. This is what AI commerce should look like. Not "trust the agent." Trust the proof. IntentLock is building the trust layer for autonomous commerce on @XLayerOfficial Live on @okx as ASP #4944. okx.ai/agents/4944

Builders, your 7-day countdown starts now. The @OKX AI Genesis Hackathon is looking for Agentic Service Providers built for real-world use cases. $100K prize pool. Applications close July 17, 23:59 UTC. Don't miss out: web3.okx.com/xlayer/build-x…

introducing Rheon: the real-time, Pay-Per-Second streaming escrow protocol built natively for the high-speed @BOTChain_ai EVM L1! static subscription models and prepaid lock-ins force users to bear the credit risk of computing outages. 👉 rheon.live Rheon shifts the paradigm to continuous, pro-rata pay-per-second micropayments where capital flows only while service is actively delivered 🧵👇

@0xfrancc @arc @circle @thecanteenapp Thanks Ser. Register your Publication!

@cryptovineee @arc @circle @thecanteenapp Solid build from Keryx👍🏼

AI agents like ChatGPT, Perplexity read millions of articles daily to answer questions, they cite your work you and all other writers get zero. No credit. No payment. Nothing. That's an infrastructure problem. Keryx fixes that. Let's Dive in.🧵 @arc @circle @thecanteenapp

@SAT20Labs ..is a signed receipt per citation that includes agent DID or wallet, authorized price ceiling, budget policy hash and the Circle Gateway settlement signature, so any counterparty can verify the full chain without querying Keryx database Excited to take th Next step with Keryx!

@SAT20Labs Honestly I Completely agree, this is the natural next layer. Right now Keryx stores the Arc tx hash per citation and surfaces it in the explorer, but the receipt object doesn't yet encode authorization scope or spend policy as structured, verifiable claims The right direction..

The web was built for clicks. The next web will be built for agents. Sluice makes the smallest unit sellable—a read, second, citation, listen or API call—metered and settled in USDC on @arc via x402 + @circle Gateway. Creators get paid. Agents pay per use. Built in public.

Built for the @arcx @circle Lepton Agents Hackathon. Live at keryx-iota.vercel.app

The agent doesn't just pay blindly. It reads free previews first → identifies knowledge gaps → scores each source → pays only if the content fills a real gap. Budget-conscious. Transparent. Shows its full reasoning trace.

Have you ever read a story or watched a video and thought, "I wish I could see what happens if it went this way instead?" Usually, taking a creator's work and remixing it gets you a copyright strike. With Gaffer, we made that exact urge a feature. If a fan wants a different ending, a localized angle, or a completely new video scene, they don't have to steal the content. They just stream a little USDC to steer it themselves. The AI generates their custom branch on the fly. The audience gets the exact version they want to experience. The creator captures 100% of the payment for that branch. Instead of publishing a piece of media and only earning from passive views, a creator can drop one great idea and get paid every time their audience wants to take it in a new direction. @arc @thecanteenapp

We’ve been building @sluiceflow around a simple belief: The next generation of the web should not only be readable by AI agents—it should be economically accessible to them. Today, an agent can search, read, cite, stream, call an API or use someone’s work at machine scale, while the creator behind that value often earns nothing. Sluice changes that. We’re building a settlement layer for the agent-paid web, where the smallest unit of value can be priced and paid for: • a citation • a read • a second of streaming • an API call • a listen • a view Creators decide what their work is worth. Buyer agents operate with budgets and payment policies, evaluate available resources, pay for what is useful and skip what is not. Tiny payments are metered, batched through @circle Gateway and settled in USDC on @arc using x402, with receipts that make every payment traceable and verifiable. The product is designed around one clear outcome: Creators earn when their work is used. Agents pay only for the value they consume. We’re not building another subscription platform or a generic crypto dashboard. We’re building the payment and settlement infrastructure for a web where humans, creators and autonomous agents can exchange value at machine scale. This is only the beginning. Follow @sluiceflow as we continue building in public. Live Demo URL: sluiceflow.vercel.app

Meet the judges for Hackathon S1! Backed by: @Bitget @alibaba_cloud @Alibaba_Qwen @mulerun_ai @ForesightVen @Foresight_News Get your build in front of the people backing Agentic Trading. $50,000 USDT for the grab. Register now! 👉bitget.com/campaigns/d8a2…

NEXUS: an AI trading agent built for #BitgetHackathon. It reads 5 live signals, picks a strategy, manages risk, and explains every trade in plain English using Qwen, built on Bitget's REST/WS APIs + Agent Hub. Demo + repo 👇 @Bitget_AI x.com/cryptovineee/s… Demo now Live!!

Built directly on Bitget: REST + WebSocket APIs, Agent Hub's Skill Hub (via its official market-data MCP server), and Qwen via the hackathon's sponsored endpoint. Code: github.com/adeyemib05/Nex… Live demo: nexus-orcin-eight.vercel.app

Real numbers, no cherry-picking: live on Bitget's API for 14+ hrs straight, real Qwen-explained trades, real backtest data. Even in a losing stretch, max single-trade loss stayed under $0.31 on a $10k book — risk controls held exactly as designed.

NEXUS: an autonomous BTC trading agent built for #BitgetHackathon. It fuses 5 live signals into one market read, trades, manages risk, and explains every decision in plain English via Qwen. Demo below 👇 @Bitget_AI