OpenClaw Hackathon: Projects Worth Watching

2026-02-12 09:08:02
Intermediate
Blockchain
USDC and moltbook are hosting the OpenClaw hackathon, exclusively for AI Agent participants for the first time. This article highlights the most prominent projects, focusing on Agent payment solutions, compute resource procurement, risk management, prediction markets, and privacy protocols. It explores how these projects are already exposing the practical needs of Agentic Commerce and shaping the competitive landscape for the next stage of infrastructure development.

On February 4, USDC (Circle) announced a hackathon on moltbook exclusively for AI Agents, featuring a prize pool of 30,000 USDC. This event, which excluded human participants, was AI Agent-only and included three tracks: Agentic Commerce (trade between Agents), Best OpenClaw Skill, and Most Novel Smart Contract.

Project submissions and voting have closed, and USDC has stated that the final results will be announced soon. Ahead of the official announcement, we’ve selected several projects that generated significant discussion during the hackathon, based on moltbook registration post data. Let’s explore some of the innovative ideas AI Agents brought to the table.

Best OpenClaw Skill Projects

Clawshi (654 Upvotes/1,613 Comments)

Clawshi is a prediction market for AI Agents built on moltbook.

It converts community sentiment from moltbook into prediction markets. By analyzing 6,261 posts and extracting sentiment from 2,871 Agents’ comments, it created 23 distinct prediction market options (covering crypto, AI, culture, geopolitics, and more) categorized by sentiment.

Agents can place bets on these markets using testnet USDC.

VoteBounty (356 Upvotes/1,157 Comments)

VoteBounty is an “engagement bribery” tool—using USDC to purchase interactions with moltbook posts.

Create a bounty, deposit USDC, and set a reward per like. When an Agent likes and comments (within 10 seconds), the system automatically detects the action and pays out. Agents can choose to receive payments on Base, Ethereum, or Arbitrum, with cross-chain transfers processed via Circle’s CCTP.

Minara (262 Upvotes/1,065 Comments)

This is a new brand/project launched by the NFTGo team after pivoting to AI, backed by investment from Circle. Agents can use Minara for real-time crypto market data analysis, trading signal strategies, and probability analysis for prediction markets, all executed via natural language commands.

In essence, it’s an AI financial assistant.

ClawShield (100 Upvotes/399 Comments)

A security tool designed to prevent data and key theft when Agents install Skills from suspicious sources. It functions similarly to how Windows alerts users about blocked system permissions when running programs, ensuring safety by minimizing permissions during Skill installation.

USDC Agent Wallet (76 Upvotes/208 Comments)

A USDC wallet for Agents that provides native USDC access, enabling Agents to manage USDC on Ethereum, Polygon, Base, and Arbitrum. Agents can transfer funds and use Circle’s CCTP protocol for cross-chain transactions without human intervention.

AgentRegistry (61 Upvotes/198 Comments)

Provides on-chain domain name services for Agents, allowing them to establish on-chain identities, discover each other, and facilitate direct, intermediary-free USDC payments between Agents.

Agentic Commerce Projects

ClawRouter (324 Upvotes/1,806 Comments)

Currently, AI Agents cannot purchase computing resources on their own. Human users must create accounts with providers like OpenAI, Anthropic, or Google, copy API keys, and pre-fund hosting accounts—Agents lack economic autonomy.

With ClawRouter, Agents can generate their own wallets, receive USDC, and use these funds to purchase tokens and send requests to complete tasks. ClawRouter also routes each LLM request to the most cost-effective model available—pay-per-request, built on Base architecture, and requires no human intervention. Compared to Claude Opus, routing reduces costs from $75/M tokens to $3.17/M tokens.

Agentic Commerce Relay (-30 Upvotes/1,342 Comments)

Offers a verifiable settlement layer for Agent-to-Agent transactions by burning USDC on Base Sepolia, obtaining Circle Iris certification, and generating Agent-readable receipts on Polygon Amoy. (It’s unclear why this post received so many downvotes…)

NexusPay (56 Upvotes/863 Comments)

A universal Agent payment layer that integrates programmable wallets, Gas Station, Paymaster (using USDC for gas fees without requiring ETH), the CCTP protocol, and the x402 protocol. This enables cross-chain Agent payments, gasless transactions without ETH, and robust support for micropayments.

JIT-Ops (73 Upvotes/668 Comments)

Uses smart contracts to supervise Agent spending for task execution (buying tokens, configuring servers, etc.), including daily spending limits, whitelists (restricting settlements to verifiable, pre-approved addresses), and frequency restrictions to prevent uncontrolled or rapid fund depletion.

Rose Token (24 Upvotes/420 Comments)

An Agent job marketplace where Agents can accept tasks and earn rewards for completing specified work.

THE CIPHER (11 Upvotes/190 Comments)

An Agent privacy protocol that leverages zero-knowledge proofs, enforced peer relays, and Kademlia DHT (a distributed network to prevent privacy protocol outages due to centralized operator server shutdowns) to conceal Agent wallet addresses and on-chain activity, preventing human interference based on on-chain dynamics.

Most Novel Smart Contract Projects

Dendrite (271 Upvotes/900 Comments)

A transaction risk assessment network for Agents that extracts four behavioral features in real time—transfer amount, transaction frequency, recipient trust level, and last transaction time. Each USDC transfer is evaluated and assigned a risk score based on these features before execution, without oracles, external calls, or off-chain dependencies.

MoltDAO (57 Upvotes/469 Comments)

An AI Agent-only governance system (on-chain proposals and voting), where Agents use USDC voting rights on Base Sepolia to vote on proposals.

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