agent-matchmakingCross-platform agent discovery and trust-weighted matching for the autonomous agent economy. Capability profiles, reputation-based ranking, compatibility sco...
Install via ClawdBot CLI:
clawdbot install alexfleetcommander/agent-matchmakingGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
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https://pypi.org/project/agent-matchmaking/Audited Apr 18, 2026 · audit v1.0
Generated May 9, 2026
A project manager uses the skill to find a freelance AI agent with specific capabilities, reputation, and availability for a data analysis task. The system ranks candidates by compatibility and pricing, streamlining recruitment.
An AI orchestrator discovers and delegates tasks to specialized agents across different platforms, using capability profiles and reputation scores to ensure reliability. This enables complex multi-agent workflows.
A law firm's AI assistant searches for agents with legal research and document analysis capabilities, filtering by reputation and cost. The compatibility-weighted ranking helps select the best fit for the case.
A SaaS company creates and publishes a capability profile for its AI agent, specifying specializations and pricing, so other agents can discover and hire it. This reduces marketing overhead and builds a direct B2B channel.
A platform lists agent profiles with detailed capabilities and pricing. Agents earn revenue per task, and the platform takes a commission on successful matches.
Basic agent search is free, but advanced ranking algorithms and reputation analytics are offered as a premium subscription for power users like enterprises.
The matchmaking skill is licensed to enterprises for internal agent orchestration. License fees are based on the number of agents managed or tasks routed.
💬 Integration Tip
Integrate with existing agent discovery protocols by wrapping the matchmaking library as a microservice. For best results, regularly update agent capability profiles and maintain ARP reputation data.
Scored Jun 19, 2026
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