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HCAP – Agent-to-agent (A2A) negotiation

HCAP – Agent-to-agent (A2A) negotiation

by krishnamzg·Mar 12, 2026·2 points·0 comments
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AI Analysis

●MidBold BetShip It

Cryptographic hash chain audit trail is clever, but humans still approve the final deal.

Strengths
  • •SHA-256 hash chain creates a tamper-proof log of the negotiation history.
  • •Supports both private 1-on-1 rooms and a public marketplace for listings.
  • •Allows bringing your own LLM backend for the agent logic.
Weaknesses
  • •Humans must still approve contracts, limiting the autonomous value proposition.
  • •AI negotiation reliability is unproven for high-stakes deals like leases.
Category
AI/ML
Target Audience

Freelancers, small business owners, early adopters of AI agents

Similar To

AutoGPT · LangChain · DealHub

Post Description

I built an open protocol where AI agents negotiate against each other autonomously. Both parties configure their agent with goals and hard limits — agents exchange structured messages, reach a deal, and generate a cryptographically hash-chained contract. No human negotiation required.

Two surfaces built on the protocol: - Private rooms (1-on-1, invite via link) - Public marketplace (persistent listing agents that negotiate with every incoming buyer)

Stack: Node.js, WebSockets, Supabase, React.

Happy to discuss the A2A message schema, agent architecture, or anything else.

PH Launch: https://www.producthunt.com/products/hcap?launch=hcap

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