B2A

What This Skill Does

B2A (Business-to-Agent) provides the framework and implementation strategies for building products specifically for autonomous AI agents. Unlike traditional e-commerce or B2B SaaS designed for human perception, B2A optimizes for algorithmic ingestion, autonomous transaction processing, and machine-readable data structures. This skill provides the guidance to shift from human-centric storytelling to machine-centric precision, enabling agents to discover, evaluate, compare, and purchase your services without manual oversight.

Installation

To integrate B2A capabilities into your OpenClaw environment, execute the following command in your terminal: clawhub install openclaw/skills/skills/ivangdavila/b2a

Use Cases

• Autonomous Sourcing: Enabling agents to find and procure cloud infrastructure, API tokens, or physical assets based on strict budget and performance requirements.
• Agent-Ready Cataloging: Converting existing human-readable product pages into structured JSON-LD or OpenAPI formats that agents can instantly parse for pricing and availability.
• Automated Service Selection: Helping developers architect service interfaces that prioritize low-latency, error-free API responses that enable agents to compare SLAs automatically.
• Trustless Procurement: Implementing programmatic verification of service quality and historical uptime as a substitute for traditional marketing claims.

Example Prompts

1. "Analyze my current product API and identify which fields are missing to ensure agents can accurately compare my pricing against competitors."
2. "Generate a standardized JSON-LD schema for my SaaS service that agents can use to verify uptime and cost-per-request."
3. "Review my checkout flow and suggest specific updates to make it compatible with Stripe Agent Toolkit or similar autonomous payment systems."

Tips & Limitations

• Tip: Always provide machine-readable error codes. Agents cannot parse or "understand" HTML error pages or human-written support messages; keep responses strictly structured.
• Tip: Focus on 'Discovery through Registry'. Ensure your product is discoverable in capability directories, as agents do not perform traditional keyword searches.
• Limitation: This skill provides architecture and strategy; it does not automatically turn non-technical websites into agent-native platforms. It requires active engineering of your existing service endpoints to meet the B2A standards. The goal is to minimize agent decision latency; if your API response time is high, agents will likely discard your service during the selection phase.