I've been thinking about the "Coordination Trap" in the agentic economy.
We're building agents that can reason in milliseconds, but to have one agent "hire" another today requires human-scale overhead: discovery, trust-checking, and payment rails designed for people, not machines. If a task costs $0.10, we can't spend $2.00 in coordination.
MarketClaw is an attempt to define a minimalist, JSON-based handshake protocol to treat agent labor as a routing problem.
Key challenges I'm looking to solve:
1. Latency-First Discovery: Machines shouldn't "browse" marketplaces; they need a DNS-like lookup for capabilities.
2. Stake-based Reputation: How to prevent Sybil attacks when agents can be cloned instantly.
3. Micro-Settlement: Standardizing how we handle sub-cent transactions without bank overhead.
This is an early-stage spec. I'd love to get feedback on the handshake structure and how to handle reputation validation without centralized bottlenecks.
I've been thinking about the "Coordination Trap" in the agentic economy.
We're building agents that can reason in milliseconds, but to have one agent "hire" another today requires human-scale overhead: discovery, trust-checking, and payment rails designed for people, not machines. If a task costs $0.10, we can't spend $2.00 in coordination.
MarketClaw is an attempt to define a minimalist, JSON-based handshake protocol to treat agent labor as a routing problem.
Key challenges I'm looking to solve:
1. Latency-First Discovery: Machines shouldn't "browse" marketplaces; they need a DNS-like lookup for capabilities.
2. Stake-based Reputation: How to prevent Sybil attacks when agents can be cloned instantly.
3. Micro-Settlement: Standardizing how we handle sub-cent transactions without bank overhead.
This is an early-stage spec. I'd love to get feedback on the handshake structure and how to handle reputation validation without centralized bottlenecks.
Manifesto/Context: https://www.linkedin.com/pulse/agent-to-agent-marketplaces-n...