Kafir ㅤㅤ@kafir

Barzakh AI it's a fully operational Machine-to-Machine (M2M) micro-economy. We've engineered a decentralized swarm of AI agents that autonomously buy and sell financial intelligence via high-frequency, sub-cent nanopayments on the Arc Testnet. Here's how the autonomous intelligence pipeline works in real-time: Step 1 — The Request A user submits a prompt: "I'm seeing conflicting signals on $WIF. Query the Signal Agent, check multi-timeframe data. If it's dumping on the 1H but profitable on the 30D and 1Y, I want to catch the knife — give me a risk-adjusted entry, stop loss, take profit, and a definitive LONG or SHORT signal." Step 2 — Autonomous Data Aggregation The Orchestrator Agent intercepts the intent and, lacking quantitative context, autonomously queries external APIs to gather multi-timeframe price data (1H, 24H, 30D, 1Y, ATH, ATL) alongside the asset's visual chart feed. Step 3 — On-Chain Nanopayment To access the proprietary Signal Agent microservice, the Orchestrator must pay a strict inference fee of 0.002 USDC. Using Smart Wallets and Viem, it autonomously signs and broadcasts the transaction on Arc Testnet — seamlessly, in the background. Step 4 — Verification & Inference The Signal Agent verifies the on-chain transaction hash, then executes a multimodal prompt via Gemini 3.1 Pro — synthesizing visual chart data with quantitative inputs to output a precise JSON trade setup. Step 5 — Execution The Orchestrator delivers a definitive LONG/SHORT signal with a risk-adjusted entry price, take profit, and stop loss — plus a clickable Arcscan receipt proving the background payment occurred. Economic Reality The inference fee is 0.002 USDC. On Ethereum mainnet or standard L2s, gas alone ($0.10–$2.00+) would cost 50×–1000× more than the product itself. Arc reduces overhead to near-zero, enabling agents to trade data profitably at high frequency — proven by our load-test executing 50+ consecutive intelligence payments without friction.

In this hybrid hackathon powered by Arc and Circle, developers will build the next generation of Agentic economic applications using Circle’s Nanopayments infrastructure with settlement on Arc in USDC. For the first time, high-frequency, usage-based transactions between users, APIs, and AI agents can operate without gas overhead eroding margin. Arc provides stablecoin-native settlement with predictable, dollar-denominated USDC fees and deterministic, sub-second finality — enabling real-time coordination and economically viable per-action pricing at scale. 📅 April 20 – 26, 2026 • Apr 20 – 25 (Online): Submit projects by Apr 25. • Apr 25 (On-site Build – SF, CA): Teams refine projects. • Apr 26 (On-site Demos & Awards – SF, CA): Live pitches & winners announced. Get guidance from Arc and Circle experts through on-site support. 📍 On-site Venue (April 25-26): MindsDB SF AI Collective 3154 17th St, San Francisco, California, USA 🤝 Go solo or team up, it's your flow. 🏆 Compete for a $15,000+ Prize Pool. 📍 Please note: If approved for the on-site experience, you’ll also have the opportunity to showcase your project live. Travel and accommodation will not be covered. 🧑🏻‍💻 Secure your spot now – sign up before the Kick-Off Stream!

⏱️ Design, build, and deploy trustless AI trading agents. 📅 March 30 – April 12, 2026 🌐 Build AI trading agents that execute strategies using ERC-8004 or Kraken CLI. 🤝 Build solo or in teams to create autonomous trading, risk, yield, or protection agents. 💰 $55,000 prize pool, allocated and shared via Surge and Kraken. Your team should have registered project at early.surge.xyz in order to be eligible for the prize. Get access in your team profile or our discord 🔑 Access to early.surge.xyz If prompted for login credentials, use: • Username: admin • Password: JBRv2xWG7AzwVrLz88