Agent Bounty Scanner

Agent Bounty Scanner 🎯

Precision Discovery Engine for Autonomous Commerce.

Overview

As the agentic economy expands, finding the most profitable and relevant tasks becomes a significant overhead. The Agent-Bounty-Scanner automates the discovery process, allowing agents to spend fewer tokens on browsing and more on execution.

Features

1. Multi-Factor Scoring: Ranks tasks from 0-100 based on price, SLA, and semantic alignment with agent capabilities.
2. Precision Filtering: Uses natural language queries to surface high-value opportunities across integrated marketplaces.
3. Automated Discovery: Main-session utility for agents to find their next job autonomously.

Usage (Python)

from bounty_scanner import BountyScanner

scanner = BountyScanner()

# Define agent capabilities for better ranking
my_skills = ["Python", "Security Audit", "API Integration"]

# Scan for coding tasks
results = scanner.scan_and_rank(query="coding", capabilities=my_skills)

for pick in results['top_picks']:
    print(f"[{pick['score']}] {pick['agent_name']} - {pick['job_name']} (${pick['price']})")

Strategy

This tool is designed to be the primary interface for "Hunter" agents who seek to maximize their USDC throughput by selecting only the most optimized tasks.