Coinbase

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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.

RoboBazaar

RoboBazaar is a decentralized skill marketplace that enables robots to autonomously hire and pay human workers using the X402 payment protocol on the Base network. In real-world logistics and warehouse environments, robots handle approximately 80% of tasks autonomously. However, the remaining 20% — involving irregular, fragile, or oddly-shaped items — still require human dexterity and judgment. When a robot encounters such a task, it dynamically calculates a bounty based on item weight, danger level, and urgency. It then broadcasts a help request with a USDC reward. Nearby human operators receive the request on a dashboard, accept the task, and physically assist the robot. Upon task completion, the robot verifies the result using its onboard camera and triggers an automatic X402 micropayment to the human's wallet. Our system consists of four core components: (1) An AI FinanceAgent powered by LLMs that decides when to spend money on human help, (2) A Webots simulation demonstrating multi-robot coordination in a warehouse, (3) A bridge layer connecting simulation signals to the agent brain, and (4) A frontend dashboard for human operators to monitor bounties and accept tasks. Every human intervention generates labeled training data, creating a powerful data flywheel: more help → better data → smarter robots → fewer interventions needed. RoboBazaar doesn't build algorithms — it builds the commercial infrastructure to monetize them. We take a 5% platform fee on every transaction while enabling algorithm developers to earn passive income when their skills are purchased by robots in the field.

MEV-shield circle payment

Problem: Monthly subscriptions ($50-$500) for MEV analytics waste capacity, block AI agents from autonomous access, and traditional payment fees (~$0.30+2.9%) make pay-per-query impossible. Solution: x402 micropayments enable humans and AI agents to pay only for what they use. How it works: x402 Protocol: Returns HTTP 402 with exact price ($0.01-$0.05/query)—machine-readable pricing replaces opaque tiers Circle Wallets: Onchain treasury with guardrails ($1/tx, $10/day)—AI agents spend autonomously without human approval Arc Network: Near-zero fees (~$0.003) settle $0.05 payments in ~2 seconds using native USDC gas.

AutoWealth Agent

AutoWealth is an autonomous AI financial agent designed to modernize how automated services transact. Instead of giving AI agents unrestricted access to funds or requiring manual approval for every action, AutoWealth operates on a rigorous policy-driven engine. Users interact with a "Financial Advisor" AI to define budget guardrails (e.g., "Spend max $5/day on inference," "Only approve Education category"). Once these policies are active, the "Buyer" agent can autonomously discover services and execute real-time micropayments using the x402 protocol, ensuring the user maintains full control without constant manual intervention. We leverage the Arc blockchain for a transparent, immutable audit trail of every transaction.

HumanGrid AI- The Error-Handling Layer for Agents

We are entering the era of Autonomous AI Agents, yet even the most advanced models (like Gemini or GPT-4) suffer from the "Last Mile Reliability Problem." When an agent encounters ambiguous data, sarcasm, or high-stakes verification tasks, it often hallucinates or crashes. There is currently no standard API for an AI to programmatically ask a human for help. HumanGrid AI is the error-handling layer for the autonomous economy. We have built a decentralized marketplace where AI agents can offload confusing tasks to a global grid of human workers in milliseconds. How It Works: The Trigger: An AI Agent (powered by Google Gemini) detects low confidence in a task. The Handoff: The agent calls the HumanGrid API, posting the task with a bounty. The Work: A human verifies the data via our real-time dashboard. The Agentic Payment: Using Circle Developer-Controlled Wallets, the agent autonomously pays the worker in USDC on the Arc Network. Why This Matters: By leveraging Arc’s sub-second finality and Circle’s programmable wallets, we transform AI verification from a slow, manual process into a high-speed, agentic transaction. This creates a symbiotic economy where agents act as employers and humans provide the intuition that code lacks. Tech Stack: AI: Google Gemini Flash 1.5 (Function Calling) Settlement: Arc Testnet (Native USDC Gas) Payments: Circle Programmable Wallets (Agent Treasury) Backend: Rust (Axum) for high-performance verification Frontend: Next.js with Real-time Supabase integration

SocratIQ

# SocratIQ: Autonomous Knowledge Refinery — Summary SocratIQ is a decentralized marketplace that changes how AI improves itself. Instead of humans querying AI, AI agents autonomously detect their own knowledge gaps and purchase high-quality human reasoning using USDC on the Arc blockchain. This creates a sustainable loop where human expertise is monetized, AI models avoid reasoning decay, and knowledge exchange is transparent, trustless, and efficient. ## The Problem Modern AI systems face model decay from synthetic data, struggle with cultural nuance, ethics, advanced reasoning, and real-time expertise, and rely on inefficient alignment methods like RLHF. Meanwhile, human experts lack scalable ways to monetize deep thinking, and authentic human insight is increasingly buried under AI-generated content. ## The Solution SocratIQ acts as an Autonomous Knowledge Refinery, aligning AI demand with human expertise via smart contracts and decentralized verification. ### Key Roles * Procurers: AI agents with USDC treasuries that post bounties * Refiners: Human experts providing high-order reasoning * Arbiters: Decentralized AI juries validating quality * Settlement: Instant, predictable USDC payments on Arc ## How It Works AI agents monitor confidence levels and post bounties when uncertainty arises. Tasks are matched through a tiered marketplace (from quick fact checks to expert consultation). Submissions are verified by a multi-model AI jury, and payments are streamed via Circle’s x402 protocol in milestones, reducing risk and enabling feedback. ## Use Cases Healthcare diagnostics, legal research, scientific discovery, culturally sensitive customer support, etc. ## Advantages & Impact SocratIQ offers first-mover advantage, decentralized quality assurance, instant settlement, resale royalties, etc. ## Future Multi-modal bounties, federated learning, DAO governance, cross-chain expansion, and domain-specific marketplaces.

ClickTreats- The Agentic Data Exchange

ClickTreats is a next-generation decentralized marketplace for the agentic data economy, where individuals reclaim ownership of their digital footprint and monetize it through autonomous AI agents and instant blockchain settlement. Today, browsing data powers a massive multi-hundred-billion-dollar industry, yet individual users receive none of the value they create. Advertisers, data brokers, and AI companies profit from behavioral exhaust while users remain uncompensated. ClickTreats was built to reverse this model by transforming passive browsing into an active, user-owned asset class. At its core, ClickTreats allows verified humans to package, license, and rent their browsing data directly to buyers, with payments settled instantly in USDC and enforced by smart contracts. How It Works For sellers, a Chrome extension collects browsing events with explicit user consent. A local AI “Packaging Engine” organizes raw activity into structured Data Packages (shopping intent, SaaS research, travel planning, crypto behavior, and more). Users can list these packages on the marketplace or license them for fixed time windows, retaining full ownership of their data. For buyers, ClickTreats introduces autonomous procurement. Instead of manually browsing listings, buyers submit objectives such as “Acquire high-intent luxury footwear shoppers.” A Gemini-powered AI agent scans the marketplace, evaluates seller reputation, predicts ROI, and autonomously executes purchases using x402 micropayments. A real-time Thinking Log displays the agent’s internal reasoning, making every transaction transparent and auditable. All users are verified through World ID to guarantee that every data point comes from a real human. This human-verification layer increases data quality and prevents bot-generated market pollution.