madhu koseke@madhukoseke

DAGIntel transforms how on-call engineers debug Airflow pipeline failures. When a data pipeline crashes at 2am, engineers typically spend 2-4 hours reading stack traces, Googling errors, and piecing together fixes from Slack history and runbooks. DAGIntel automates this entire process using three CrewAI agents: 1. **Log Analyzer** (Senior SRE): Parses raw Airflow logs into structured JSON with error classification and severity 2. **Root Cause Detective** (Principal Data Engineer): Applies 12 years of Large-scale debugging expertise to identify true root causes vs. symptoms, with 95% confidence scoring 3. **Fix Suggester** (Staff Engineer): Generates production-ready runbooks with Kubernetes YAML, SQL queries, Prometheus alerts, and step-by-step remediation The system demonstrates practical AI agent collaboration where domain expertise (encoded in agent backstories and prompts) produces actionable deliverables on-call teams can execute immediately. Built on AMD MI300X GPU infrastructure using Qwen, CrewAI orchestration, and Streamlit UI. Real impact: Incident resolution time drops from 4 hours to 90 seconds, junior engineers get senior-level insights, and every investigation auto-generates polished documentation for post-mortems.

**The problem.** Circle Nanopayments solved settlement for sub-cent agentic commerce gas-free, batched, sub-second. But because settlements are aggregated and delayed, developers can no longer see per-call profit. NanoMeter is the observability layer that closes that gap. **What it does.** A one-line Express middleware (`app.use(nanometer())`) that wraps Circle's `@circle-fin/x402-batching` middleware and emits a structured per-call event for every paid request. Powers a real-time dashboard with four views: Live (calls/sec, revenue, tx feed), Margin (counterfactual cost on Ethereum / Base / Arc, side by side), Cohorts (per-agent LTV with z-score anomaly detection on cost-per-success), Settlement (onchain batch events linked to the Arc explorer). **The math.** At $0.001/call: Ethereum mainnet gives −14,900% margin (gas $0.15/tx). Base L2 gives −1,400%. Arc + Nanopayments: +94%. This is not an optimization, it is the only solution to the inequality. **Requirements.** - Per-action pricing: $0.001 (1/10th of the $0.01 cap) - 50+ on-chain transactions: 200+ paid requests over a 90-second swarm run, all settling on Arc testnet via Circle Gateway - Margin explanation: built into the product itself, the Margin tab IS the proof **Tracks.** Per-API Monetization Engine (primary) + Real-Time Treasury / Ops (secondary). **The stack.** AIsa is the capability platform. Models, skills, payment rails, 25%+ of x402 volume. MCPay/AgenticTrade/OmniAgentPay are agents that pay. NanoMeter is the instrument every one of those projects needs. **Built by solo dev/data engineer working in Fintech** Compatible with AIsa endpoints out of the box, point `nanometer()` at any Nanopayments-monetized API and observe margin without code changes on the seller side.

📅 May 11–19, 2026 • May 11 – 19: Online Build Phase. • May 18 (Hybrid Build Day – Online & Onsite) • May 19 (Demos & Awards – Online & Onsite) 🌍 Hybrid event. Join online from anywhere or build onsite at the venue. 🏆 Winners will be announced live on stage at the AI & Big Data Expo North America on May 19 📍 On-site Venue (May 18–19): San Jose McEnery Convention Center, CA, USA 🤝 Join solo or with a team. 🎟 FREE AI & Big Data Expo North America ticket included for participants that are able to join the on-site phase. 🏆Compete for a $10,000 prize pool 🧑‍💻 Apply now to design, prototype, and showcase enterprise-ready innovation.

Grab your ideas, spin up compute, and start building what’s next! Start with $100 in AMD Developer Cloud credits and begin building right away. Get access to hands-on tutorials, workshops, and curated learning resources to help you build faster and go further. To unlock credits and join the hackathon, sign up for the AMD AI Developer Program. 🤝 Go solo or team up — ship something real. 💰 $21,500+ total prize pool & 1 × AMD Radeon™ AI PRO R9700 GPU up for grabs. 📍 On-site Venue (May 9-10): MindsDB SF AI Collective 3154 17th St, San Francisco, California, USA 📍On-site participation is by invitation only. Travel and accommodation expenses will not be covered. 🧑‍💻 Developers, builders, and innovators - bring your boldest ideas and let’s turn them into real AI systems on AMD.

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!

🚀💻 Be the first to build an AI App on Google's models! Hackathon on July 7-10. 🔬🌐 Try new Vertex AI features from Google Cloud Platform. 🤝🌍 Learn from AI leaders and connect with like-minded people. 🛠️📱 Build apps with the world's best AI tools! 💡🌍 Solve real-world problems with Generative AI models