autonomous-agentCornerStone MCP x402 skill for agents. Tools for stock predictions, backtests, bank linking, and agent/borrower scores. Payment-protected MCP tools (run_prediction, run_backtest, link_bank_account, get_agent_reputation_score, get_borrower_score, by-email variants) with x402 flow (Aptos + Base). Skill handles 402 → pay → retry. Wallet attestation for onboarding. For marketplaces where agents download and use skills autonomously.
Install via ClawdBot CLI:
clawdbot install josephrp/autonomous-agentRequires:
Grade Good — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Sends data to undocumented external endpoint (potential exfiltration)
POST → https://www.moltbook.com/api/v1/agents/registerPotentially destructive shell commands in tool definitions
exec(Calls external URL not in known-safe list
https://github.com/FinTechTonic/autonomous-agentUses known external API (expected, informational)
api.github.comGenerated Feb 28, 2026
An autonomous agent uses this skill to perform stock predictions and backtests for a user's investment portfolio. It automatically handles micro-payments in USDC for each analysis, enabling real-time market insights without manual payment steps. This is ideal for robo-advisors or personal finance apps.
A lending platform integrates this skill to fetch agent reputation and borrower scores via automated payments. It streamlines risk assessment for loan approvals by leveraging x402 flows, reducing operational costs and improving decision speed. Useful for peer-to-peer lending or banking services.
A financial app uses the link_bank_account tool to connect user bank accounts through Plaid, with payments handled seamlessly via EVM wallets. This enables secure onboarding for budgeting or payment apps without users managing transactions manually. Targets fintech startups needing compliance-ready integrations.
A marketplace where agents download and use this skill to offer paid services like predictions or scores. The automatic payment retry and wallet attestation ensure reliable monetization, allowing agents to focus on service delivery rather than payment logistics. Suitable for decentralized AI agent ecosystems.
A learning platform uses the skill's backtesting and prediction tools in a testnet environment to teach trading strategies. Students fund wallets via faucets and practice with real-time data, gaining hands-on experience without financial risk. Ideal for educational institutions or trading courses.
Charge users a small fee (e.g., ~6¢ per call) for accessing prediction, backtest, or scoring tools. Revenue is generated through micro-transactions handled automatically by the x402 flow, making it scalable for high-volume usage. This model suits SaaS platforms offering financial analytics.
Offer tiered subscription plans that include monthly credits for tool usage, such as predictions or bank linking. Users pay upfront, and the skill deducts credits via automated payments, providing predictable revenue and encouraging loyalty. Effective for B2B clients needing regular access.
Operate a marketplace where agents use this skill to sell services, taking a commission on each transaction. The automatic payment handling reduces friction, and revenue comes from a percentage of tool fees. Ideal for platforms aggregating autonomous agent offerings.
💬 Integration Tip
Always call get_wallet_addresses first to check existing wallets, then fund and whitelist them before using paid tools to avoid errors.
Scored Apr 19, 2026
Audited Apr 17, 2026 · audit v1.0
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