Kirill Igumenshchev@kirill_igumenshchev375

ShopRails is an agent-native commerce rail built for the Agentic Economy on Arc hackathon. It lets an LLM shop across merchant surfaces while buyer policy, risk scoring, Circle Wallets, x402 nanopayments, and Arc USDC escrow decide whether each item is bought now, held for review, or declined. The demo starts with a 500 USDC buyer wallet and a shopping request for a pirate sushi dinner. OpenClaw decomposes the request into atomic catalog queries, including a real Circle x402 payment for premium catalog data. Low-risk items settle immediately on Arc, higher-risk or human-service items move into a payable escrow contract, and blacklisted sellers or brands are declined before any signing path. The judge proof panel separates live proof from simulated rows: Gemini calls, generated product images, a real x402 transfer, ArcScan escrow transactions, Circle Wallets setup, and cached proof files so repeated demos do not accidentally duplicate spend. The core point is economic: agents need per-action prices, policy control, and verifiable settlement instead of unsafe card autofill or subscriptions.

Motivation / Problem Firsthand news facts are hard to monetize directly and quickly. AI agents need verifiable sources with clean payment trails. Impact Turns micro-facts into paid, citable sources. Demonstrates agentic commerce with USDC micropayments on Arc. Solution UI-first NewsFacts Studio for journalists to submit short facts. Free search + paid fact detail using x402 via Circle Gateway. MCP server for Gemini CLI to search and pay for facts with citations. Tech Stack Node.js 20, TypeScript + tsx Express 5 Circle x402 batching SDK (@circlefin/x402-batching) Local embeddings with @xenova/transformers (used when LLM phase is enabled) MCP SDK for Gemini CLI integration

## Problem 1. AI coding assistants (Copilot, Cursor, Aider.chat) accelerate software development. 2. People typically code not by reading documentation but by asking Llama, ChatGPT, Claude, or other LLMs. 3. LLMs struggle to understand documentation as it requires reasoning. 4. New projects or updated documentation often get overshadowed by legacy code. ## Solution - To help LLMs comprehend new documentation, we need to generate a large number of usage examples. ## How we do it 1. Download the documentation from the URL and clean it by removing menus, headers, footers, tables of contents, and other boilerplate. 2. Analyze the documentation to extract main ideas, tools, use cases, and target audiences. 3. Brainstorm relevant use cases. 4. Refine each use case. 5. Conduct a human review of the code. 6. Organize the validated use cases into a dataset or RAG system. ## Tools we used https://github.com/kirilligum/synth-dev - **Restack**: To run, debug, log, and restart all steps of the pipeline. - **TogetherAI**: For LLM API and example usage. See: https://github.com/kirilligum/synth-dev/blob/main/streamlit_fastapi_togetherai_llama/src/functions/function.py - **Llama**: We used Llama 3.2 3b, breaking the pipeline into smaller steps to leverage a more cost-effective model. Scientific research shows that creating more data with smaller models is more efficient than using larger models. See: https://github.com/kirilligum/synth-dev/blob/main/streamlit_fastapi_togetherai_llama/src/functions/function.py - **LlamaIndex**: For LLM calls, prototyping, initial web crawling, and RAG. See: https://github.com/kirilligum/synth-dev/blob/main/streamlit_fastapi_togetherai_llama/src/functions/function.py

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!

In this hybrid hackathon powered by Arc, developers will build the next generation of agentic commerce systems using Arc with USDC. Explore a world where AI agents and web services can pay for APIs, data, compute, and content in dynamic, usage-based ways, while Arc provides stablecoin-native settlement with predictable USDC fees and deterministic, sub-second finality. This hackathon is supported by Google & Google DeepMind, with a dedicated challenge and $40,000 in Google Cloud Platform (GCP) credits awarded for the best use of Gemini models and Google AI Studio. 📅 January 9 – 24, 2026 • Jan 9 – 23 (Online Phase) – Collaborate and build online with developers and AI innovators from around the world. All projects must be submitted by the end of the online phase on January 23rd. • Jan 23 (On‑site Build Day – San Francisco, CA) – Selected participants will be invited to an exclusive in‑person session to refine their projects and connect directly with mentors. • Jan 24 (On‑site Demos & Awards – San Francisco, CA) – Live pitching sessions to a panel of judges and ecosystem partners, followed by the official winner announcement. Get guidance from Arc and Circle experts through on-site support. 📍 On-site Venue (Jan 23–24): MindsDB SF AI Collective 3154 17th St, San Francisco, California, USA 🤝 Go solo or team up, it's your flow. 🏆Compete for $50,000 in USDC & GCP Credits. 📍 On-site participation is by invitation only. Travel and accommodation expenses will not be covered. 🧑🏻‍💻 Secure your spot now - sign up before the Kick-Off Stream!

🚀 Take your chance and build a proactive AI solution. 🌟 Expert mentors will guide you every step of the way. 🤝 Work alone or form a team to build something extraordinary. 💰 $22,250 prize pool for the winners! 🌉 Join us online or in person in San Francisco for an unforgettable experience! 🧑🏻‍💻 Sign up before the Kick-Off Stream to secure your spot!