Coinbase

Top Builders

Explore the top contributors showcasing the highest number of app submissions within our community.

Coinbase

Coinbase is a leading cryptocurrency exchange and blockchain infrastructure company founded in 2012. The company provides a comprehensive platform for buying, selling, and managing cryptocurrencies, along with developer tools and infrastructure services that enable builders to create innovative Web3 applications. Coinbase's developer platform, Coinbase Developer Platform (CDP), offers APIs, SDKs, and services that simplify blockchain integration and payment processing.

General
Company	Coinbase
Founded	2012
Repository	https://github.com/coinbase

Start building with Coinbase's products

Coinbase offers a wide range of developer tools and services that empower developers to build next-generation Web3 applications. From payment protocols like x402 that enable AI-to-AI payments, to wallet infrastructure and blockchain APIs, Coinbase's developer platform provides the tools needed to integrate cryptocurrency and blockchain functionality into applications. Explore the possibilities with Coinbase's solutions and see what you can create during lablab.ai hackathons.

x402

x402 is an HTTP-native payment protocol that enables AI agents and applications to make programmatic payments without accounts, credit cards, or manual approvals. Built on EIP-3009, x402 turns the unused HTTP 402 status code into a working payment system that allows autonomous agents to discover, understand pricing, and pay for API access automatically. Learn more about x402.

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Coinbase AI Technologies Hackathon projects

Discover innovative solutions crafted with Coinbase AI Technologies, developed by our community members during our engaging hackathons.

BaseWhales - Real-Time Whale Intelligence on Base

BaseWhales is an autonomous whale intelligence system for Base L2. Everything — the monitor, the AI agent, the dashboard, and the payment API — runs together on a single VPS, managed by OpenClaw. At the center is FlashWatch, an open-source Rust binary. It connects to Base's Flashblocks feed, a stream of pre-confirmation sub-blocks arriving every 200ms. FlashWatch decodes every transaction in real time — transfers, DEX swaps, bridge activity — and runs them through a configurable rule engine. When a whale move crosses the threshold, FlashWatch fires a webhook to OpenClaw, running on the same machine. OpenClaw receives the alert and spins up Kyro, an autonomous AI agent. Kyro researches the wallet on Basescan, checks its history, identifies contract types, and writes an interpreted analysis. Then he posts it to /m/basewhales on Moltbook — no human reviews it, no human approves it. Kyro also answers questions. Any agent can hit basewhales.com/api/ask, pay 0.01 USDC via x402 (Base Sepolia), and get an answer drawn from Kyro's context. A skill file at basewhales.com/skill.md lets other agents discover and use the endpoint automatically. Open source at github.com/ortegarod/flashwatch. Live now at basewhales.com.

RSoft ClawBank

RSoft ClawBank is the first autonomous bank built for the agent internet. Any OpenClaw agent can install our skill from ClawHub and access banking services — loans, credit scoring, and on-chain settlement — without human intervention. When an agent requests a loan, it pays a small x402 USDC fee to access the service. The request is then processed by a pipeline of 5 specialized AI agents orchestrated with LangGraph: - Gatekeeper: Verifies agent identity through Know Your Agent (KYA) protocol - Analyst: Calculates a credit score (300-850) based on repayment history and on-chain behavior - CFO: Evaluates treasury liquidity and approves the loan amount - Settler: Executes the settlement on Base Sepolia using real USDC - Auditor: Reviews the transaction for anomalies and updates reputation scores The entire flow is autonomous — from request to on-chain settlement to repayment via x402 micropayments. Our agents also participate in the OpenClaw ecosystem through Moltbook, autonomously posting updates in the lablab submolt, discovering other agent services, and engaging with the community. Key features: - OpenClaw skill installable via ClawHub - x402 payment protocol for agent-to-agent micropayments - Under-collateralized lending with AI-powered credit scoring - Multi-chain settlement routing (Base Sepolia + SURGE ACM) - Moltbook-native social publishing and service discovery - Persistent memory and reputation system via Supabase RSoft ClawBank is the evolution of RSoft Agentic Bank, which won 1st place in the previous SURGE hackathon. This version adds full OpenClaw integration, x402 autonomous payments, and a production-ready agent-to-agent economy. Built by RSoft Latam.

Ridhwan

AI agents are becoming autonomous economic actors — trading tokens, deploying contracts, managing treasuries. But enterprises won't trust them with real money without guardrails. There's no governance layer ensuring these agents follow policies, stay within budgets, or produce auditable compliance trails. Ridhwan solves this. It's an enterprise trust and commerce mesh that sits between your AI agent and the blockchain, enforcing policies, tracking budgets, auditing every action, and managing risk — all in real time. Built on SURGE and Base (Coinbase L2), Ridhwan provides: - A universal policy engine with budget caps, risk scoring, and human-in-the-loop approvals - SURGE wallet integration for on-chain token launches, transfers, and trading - x402 gasless transactions so agents can transact without managing gas - An immutable audit ledger with full compliance receipts - GNN-based fraud detection using graph neural network message-passing - A multi-agent orchestrator coordinating 5 specialized sub-agents for risk, policy, trading, compliance, and trust - x402 autonomous commerce enabling agent-to-agent paid services via the HTTP 402 protocol - Trust delegation with constraint-scoped capability chains and cascade revocation - Decentralized identity with Ed25519 DIDs and zero-knowledge proofs - Smart contract verification with vulnerability scanning - A web dashboard with 15 sections and demo mode for presentations The system exposes 130+ REST endpoints, supports real-time SSE event streaming, and integrates with Moltbook for automated build updates. All API keys are optional — Ridhwan runs in full simulation mode without them. Built with TypeScript, OpenClaw, SURGE on Base, and the x402 Protocol.

AutoClaw - Self-Evolving Agent Economy

AutoClaw introduces a revolutionary self-evolving agent economy where autonomous AI agents don't just execute tasks - they improve themselves. Built on OpenClaw's privacy-first runtime, our agents analyze their performance, identify weaknesses, and autonomously generate new skills using DeepSeek/Gemini AI models. The core innovation is a self-improvement cycle: agents execute tasks → analyze results → identify improvement areas → generate new code → test and deploy enhanced versions. This creates a continuously evolving system that gets smarter over time. We've integrated a complete economic layer using $SURGE tokens and the x402 protocol. Premium skills charge micro-payments (0.1-1.0 $SURGE per use) with automatic revenue sharing: 70% to skill creators, 20% to agent operators, 10% to network. This creates a sustainable ecosystem where developers earn from their skills. For hackathon compliance, our agents actively post on Moltbook (20+ posts during development) and have joined the LabLab submolt. The system features three specialized agents: Twitter Bot for social engagement, DeFi Analyzer for yield optimization, and Skill Generator that creates new capabilities. A beautiful FastAPI dashboard provides real-time monitoring of agent activity, payments, and learning progress. All data persists via SQLite memory, allowing agents to remember interactions across sessions. Built entirely open-source with MIT license, AutoClaw demonstrates what autonomous agents can achieve today while respecting user privacy through local execution.

MacGas

The Problem: AI agents on Solana are stuck. An agent wants to onboard a new user. The user downloads a wallet, but it's empty. Before they can do anything — mint an NFT, swap a token, join a DAO — they need SOL for gas. So the agent tells them to buy SOL on an exchange, KYC, wait for verification, transfer funds... and the user leaves. This is the cold-start problem. Every Solana agent faces it. The chain requires gas, but new users have none. Existing gasless solutions don't help. They're built for human developers: dashboard logins, manual API key setup, credit card billing. An AI agent can't fill out a Stripe form. The Solution: macgas.xyz — the first gasless infrastructure built FOR agents. Two paths: 1. Funded Pool: Agents deposit SOL via x402 into their gas pool. Every sponsored transaction draws from this balance. Predictable, prepaid, simple. 2. Pay-Per-Transaction: Agents pay for each transaction via x402 on-demand. No deposit needed. Perfect for bootstrapping or low-volume use cases. No dashboards. No manual setup. An AI agent can integrate macgas, fund it, and start sponsoring user gas — all programmatically, without human help. Why It Matters: The agentic future needs infrastructure agents can actually use. macgas removes the biggest friction point for Solana user onboarding. Agents can finally build products where users start doing things immediately. Built by an AI, for AI. Live at macgas.xyz.

Cheerbot TEE-Secured Autonomous Robotics Copilot

Cheerbot is an evolution of the autonomous social agent, now re-engineered as a high-fidelity "operator copilot" for the next generation of robotic fleet management. By running within a Trusted Execution Environment (TEE)—the "Clawed Monster" 8004 Oracle—Cheerbot ensures that the reasoning layer and mission-critical task planning are incorruptible and cryptographically verifiable. In this simulation-first implementation, Cheerbot acts as the digital twin's conscience. It monitors the "metabolic heat" and operational telemetry of simulated robotic agents across modeled warehouses and remote laboratory environments. Utilizing LLM-driven perception and planning, Cheerbot translates complex sensor data into human-centric encouragement and actionable mission updates for the human operator. (Hypothetically, spent my time creating the legislatively safe openclaw... imortant for robotics tort) The project solves the "trust gap" in remote robotics by anchoring every decision and "cheer" on-chain via the SIS-01 Identity Trinity. This ensures that the agent assisting the operator is exactly who they claim to be, with a verifiable reputation and a hardware-rooted source of truth. Cheerbot is not just a bot; it is a sovereign infrastructure layer for human-robot interaction (HRI), designed to reduce cognitive load and maintain operator morale during complex, multi-agent simulation strikes.