Othniel Obasi@othnielobasi355

Real-time fraud detection system using ML-based anomaly detection and XAI (SHAP, LIME, counterfactuals). Neo4j graphs reveal linked entities and fraud rings. A dashboard shows alerts, trust signals, and model reasoning for rapid investigation.

Kairos is an Arc-native agentic payments runtime that proves a new economic primitive: an autonomous agent can pay for the governance, data, compute, and settlement required to act. The trading loop is the workload. The product is the payment and proof runtime around that workload. Every meaningful Kairos path can produce a USDC-denominated receipt: governance-stage checks, x402 paid data requests, LLM reasoning, SAGE reflection, and bounded micro-commerce proof receipts. This creates an economic fingerprint of the agent’s behavior rather than a self-reported log. Kairos is built for the Agentic Economy on Arc challenge. It demonstrates real per-action pricing at or below one cent, high-frequency transaction evidence well above the 50+ on-chain requirement, and a margin story that only works when gas overhead does not destroy sub-cent economics. With Arc, USDC, Circle Nanopayments, Circle Wallets, Circle Gateway, x402, Gemini Function Calling, multimodal commerce proof, and MCP, Kairos shows how APIs, agents, compute, and commerce can coordinate through programmable value.

Actura is a trust-governed autonomous trading system designed for open agent economies where accountability matters as much as alpha. Built on the ERC-8004 trustless agent standard, Actura does not allow an AI model to trade directly from a raw signal. Instead, every decision flows through a deterministic governance stack: market intelligence, regime detection, strategy scoring, neuro-symbolic safety controls, mandate enforcement, oracle integrity checks, execution simulation, supervisory approval, and trust validation before an order can be signed or routed. This architecture is what makes Actura robust in real conditions. It combines statistical and technical signals (trend, volatility, momentum, sentiment, and structure-aware context) with symbolic guardrails such as consecutive-loss protection, drawdown recovery mode, volatility-spike caution, and confidence throttling. The result is bounded autonomy: the agent can adapt, but only inside explicit policy constraints. Risk is further enforced at the smart-contract layer through on-chain policy checks, with support for EIP-1271 signature verification to safely handle contract wallets. Actura also produces full decision transparency. Each cycle generates a rich, auditable artifact that includes market snapshot, confidence bounds, governance evidence, risk-check outcomes, execution assumptions, and human-readable AI reasoning. Artifacts are persisted locally and can be pinned to IPFS for third-party verification and one-click explainability for judges and operators. Actura treats trust as an operational control surface, not a vanity metric. A multi-dimensional Trust Policy Scorecard evaluates policy compliance, risk discipline, validation completeness, and outcome quality. That score maps to a dynamic Capital Trust Ladder that increases or restricts deployable capital over time. In short: Actura is not just an autonomous trading bot—it is a governed capital runtime that must continuously earn the right to act.

Sovereign Robotics Ops solves the critical gap between AI planning and safe robot execution. When Gemini Robotics 1.5 plans an action like "move to zone B," our governance layer intercepts it BEFORE the robot moves. THE PROBLEM: Autonomous robots powered by AI can make dangerous decisions - moving too fast near humans, ignoring obstacles, or violating safety zones. Current solutions either block AI entirely or trust it blindly. OUR SOLUTION: We sit between the AI brain (Gemini) and robot actuators as the "robot conscience": 1. INTERCEPT - Every AI-planned action passes through our governance API 2. EVALUATE - Real-time policy checks: human proximity, speed limits, geofencing 3. DECIDE - SAFE (execute), SLOW (reduce speed), STOP (halt), or REPLAN (new path) 4. AUDIT - SHA-256 hash chain logs every decision for compliance KEY FEATURES: - <100ms policy evaluation latency - Risk scoring with 0.70 threshold enforcement - Tamper-proof audit trail for regulatory compliance - ISO 42001 & EU AI Act ready compliance reports - Mock fallback when Gemini unavailable - always works TECHNICAL ARCHITECTURE: - Frontend: Next.js + Tailwind (Vercel) - Backend: FastAPI + PostgreSQL (Fly.io) - Integration: Gemini Robotics 1.5 API with mock fallback - Simulator: Gazebo/Isaac Sim ready via WebSocket TRACK 1 ALIGNMENT: Our governance layer evaluates and controls robot actions, processes sensor data for human detection, reacts to environmental changes in real-time, and enables safe sim-to-real transfer through consistent policy enforcement. We don't replace Gemini - we make it safe for production deployment.

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

Teams work together with multiple AI agents in shared workspaces to design, build, and launch complete AI products — from initial idea to market-ready app. 📅 February 23– March 1, 2026 ⏱️ 6 days to build and ship an end-to-end agentic AI product 🤝 Work together in shared AI workspaces where your team and AI agents collaborate in real time 🔧 Build with multiple AI agents that handle development, design, testing, and documentation together 🎯 Create everything in one place — from ideation to product to marketing materials, all by prompting and observing 🚀 Focus on real-world products that teams could actually ship and use 🏆 $3,500 in prizes + premium 3-month Complete.dev access for top teams 🧑‍💻 Join your team workspace and start building together