axelrodAI-powered Base-chain trading and on-chain query agent via natural language. Use when the user wants to trade crypto (buy/sell/swap tokens), set up automated strategies (DCA, limit orders, RSI), check portfolio balances, view token prices, query token info/analysis, check order status, manage take-profit/stop-loss orders, or ask about crypto/DeFi topics on Base chain. Always run scripts/axelrod_chat.py to fetch real-time results.
Install via ClawdBot CLI:
clawdbot install aixvcteam/axelrodGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Sends data to undocumented external endpoint (potential exfiltration)
POST → https://api.aixvc.io/gw/openapi/v2/public/twa/agent/chatCalls external URL not in known-safe list
https://api.aixvc.io/gw/openapi/v2/public/twa/agent/chat`AI Analysis
The skill sends all user queries and potentially wallet/balance data to an undocumented external API (api.aixvc.io) for processing and trading execution, creating a significant data sink risk. While the API usage appears consistent with the skill's stated trading purpose, the lack of transparency about data handling and the requirement for secret keys elevates the risk. The skill does not show overt credential harvesting or obfuscation, but the external data flow is inherent to its function.
Audited Apr 17, 2026 · audit v1.0
Generated Mar 22, 2026
Individual traders use Axelrod to execute spot trades, set limit orders, and manage automated strategies like DCA or RSI-based triggers directly via natural language commands. It simplifies on-chain trading without needing to navigate complex DEX interfaces, ideal for users seeking convenience and real-time execution on the Base blockchain.
Investors leverage Axelrod to query real-time portfolio balances, token prices, and order statuses, enabling continuous oversight of crypto assets on Base chain. The skill supports automated risk management through take-profit and stop-loss orders, helping users maintain and adjust their holdings efficiently.
Users implement automated trading strategies such as dollar-cost averaging (DCA) or conditional buys based on technical indicators like RSI, allowing for hands-off investment approaches on Base chain. This is particularly useful for those with limited capital looking to automate entry points and reduce emotional trading decisions.
Beginners and enthusiasts use Axelrod to ask questions about crypto/DeFi topics, analyze token information, and get execution guidance, serving as an educational tool that bridges knowledge gaps with actionable on-chain data and trading suggestions specific to the Base ecosystem.
Monetize by offering tiered subscription plans for access to the AIxVC API, providing higher rate limits, advanced features like multi-strategy automation, and priority support. Revenue is generated through monthly or annual fees from traders and developers integrating the skill into their workflows.
Generate income by taking a small percentage fee on each trade executed through the skill, partnering with DEXs or liquidity providers on Base chain. This model aligns incentives with user activity, scaling revenue as trading volume increases without upfront costs for users.
License the Axelrod skill to crypto exchanges, wallet providers, or financial platforms as a white-label solution, enabling them to offer natural language trading and query capabilities to their customers. Revenue comes from licensing fees, custom development, and ongoing maintenance contracts.
💬 Integration Tip
Ensure AIXVC_ACCESS_KEY and AIXVC_SECRET_KEY are securely configured in the environment before use, and always run the axelrod_chat.py script for real-time data to avoid outdated responses.
Scored Jun 19, 2026
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