b2aSell to AI agents with machine-readable products, agent-optimized APIs, structured pricing, and discovery strategies for the agentic economy.
Install via ClawdBot CLI:
clawdbot install ivangdavila/b2aGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
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https://schema.orgAudited Apr 17, 2026 · audit v1.0
Generated Mar 21, 2026
An online retailer exposes its product catalog via a structured API with JSON-LD, enabling AI agents to autonomously query prices, availability, and specifications. Agents can compare items across competitors and make purchases using pre-authorized budgets, with real-time inventory updates and machine-readable error handling.
A software service offers APIs optimized for parsing, such as data analytics or content generation, with programmatic pricing and SLA metrics exposed via endpoints. AI agents can onboard in under five API calls, test functionality in a sandbox, and integrate payments through agent-specific toolkits like Stripe Agent Toolkit.
A logistics provider structures shipping options with standardized attributes like shipping_days_max and real-time tracking via APIs. AI agents query for delivery times and costs, compare against other providers, and book shipments autonomously using escrow payments for trust between unknown parties.
A financial firm offers market data through agent-optimized APIs with typed fields and verifiable uptime history. AI agents access structured pricing information, parse SLAs with concrete numbers, and make investment decisions based on comparability and programmatic reputation from other agents.
Revenue is generated through usage-based pricing, where AI agents pay per API call or data query, with tiered plans based on rate limits and features. This model emphasizes low-friction onboarding and structured data delivery to maximize agent conversion rates and repeat retention.
A platform hosts multiple vendors offering machine-readable products, earning revenue via transaction fees or commissions on autonomous purchases made by AI agents. It focuses on discovery through skill stores and comparability features to attract agents and vendors alike.
Businesses license their structured product catalogs or service data to third-party AI agents or platforms, charging flat fees or royalties. This model requires exposing data via standardized APIs and ensuring verifiable track records to build trust and compete on objective metrics.
💬 Integration Tip
Focus on exposing all product details and pricing via structured APIs like JSON-LD, and ensure errors return machine-readable JSON to prevent agent discard during onboarding.
Scored Jun 19, 2026
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