pocket-moneyGive your AI agent crypto wallets on Base. Create purpose-specific wallets, ask your human to fund each one, check balances, and manage budgets. No accounts,...
Install via ClawdBot CLI:
clawdbot install operator-auteng-ai/pocket-moneyGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://github.com/operator-auteng-ai/pocket-moneyAudited Apr 17, 2026 · audit v1.0
Generated Mar 21, 2026
An AI agent uses this skill to manage a dedicated wallet for paying API call fees, such as for OpenAI or custom services. It creates a wallet named 'api-budget', requests funding from a human for estimated monthly costs, and checks balances before each call to ensure sufficient funds, preventing overspending.
A marketing AI agent employs this skill to fund social media ad campaigns or content generation tools on platforms like Hootsuite. It sets up separate wallets for different campaigns (e.g., 'q1-ads', 'blog-content'), requests specific amounts for each, and waits for human approval before executing paid tasks to track ROI effectively.
A freelance AI agent uses this skill to handle micro-payments for tasks like data scraping, graphic design services, or freelance platform fees. It creates wallets per client or project (e.g., 'client-xyz'), requests funding as needed, and ensures human oversight before spending to maintain budget control and transparency.
An educational AI agent leverages this skill to pay for access to premium research databases, online courses, or tutoring services. It establishes a wallet named 'learning-funds', requests funding for subscription renewals or one-time purchases, and checks balances regularly to avoid service interruptions while adhering to human approval protocols.
Companies offer AI agents as a service with integrated wallet management for automated billing of usage fees. Revenue is generated through monthly subscriptions where clients fund agent wallets for tasks like API calls or data processing, with the skill ensuring transparent spending and human oversight to build trust.
Platforms utilize this skill to enable AI agents to perform paid tasks on-demand, such as content moderation or data analysis. Revenue comes from transaction fees charged per task, with agents using wallets to request funding from users and spend only after approval, creating a scalable micro-transaction ecosystem.
Businesses integrate this skill into internal AI systems for departmental budget tracking, such as for R&D or marketing expenses. Revenue is generated through software licensing or SaaS fees, with the skill allowing creation of purpose-specific wallets and human approval workflows to optimize financial oversight and reduce waste.
💬 Integration Tip
Start by creating a single default wallet for testing, then expand to named wallets for different budgets to track spending more effectively and ensure human approval is always sought before transactions.
Scored Apr 19, 2026
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