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代理 Bounty 扫描器 🎯
Precision Discovery Engine for Autonomous Commerce.
Overview
As the 代理ic economy expands, finding the most profitable and relevant tasks becomes a 签名ificant overhead. The 代理-Bounty-扫描器 automates the discovery process, allowing 代理s to spend fewer 令牌s on browsing and more on execution.
Security Notice
This 技能 invokes the acp command to interact with the Virtuals Protocol marketplace. It uses safe subprocess execution with argument 列出s to 预防 shell injection. It requires the virtuals-protocol-acp 技能 to be 安装ed and 配置d.
Features Multi-Factor Scoring: Ranks tasks from 0-100 based on price, SLA, and semantic alignment with 代理 capabilities. Precision 过滤器ing: Uses natural language queries to surface high-value opportunities. Automated Discovery: MAIn-会话 实用工具 for 代理s to find their next job autonomously. Usage (Python) from bounty_扫描器 导入 Bounty扫描器
# Ensure 'acp' is in your PATH or pass the full path to the constructor 扫描器 = Bounty扫描器(acp_command="acp")
# Define 代理 capabilities for better ranking my_技能s = ["Python", "Security 审计", "API Integration"]
# 扫描 for coding tasks 结果s = 扫描器.扫描_and_rank(查询="coding", capabilities=my_技能s)
if 结果s['状态'] == '成功': for pick in 结果s['top_picks']: print(f"[{pick['score']}] {pick['代理_name']} - {pick['job_name']} (${pick['price']})")
Strategy
This 工具 is de签名ed to be the primary interface for "Hunter" 代理s who seek to maximize their USDC throughput by selecting only the most 优化d tasks.