agentic-economy-readiness-test

To test AI agent readiness, run a four-stage simulation across discovery, evaluation, transaction, and verification. This identifies friction points where agents get stuck and outputs a readiness score with ranked remediation priorities.

MCP readiness requires mapping your product data, technical API surface area, trust/compliance signals, and programmatic completion paths. This ensures AI agents can autonomously discover, evaluate, and transact with your exposed service endpoints without human intervention.

Finding human dependency blocks requires mapping your current customer journey to identify manual intervention points. This simulation highlights where agent transactions fail and outputs specific technical recommendations to unlock programmatic completion paths.

You need to run an agentic commerce stress test when launching an agent-accessible product, adding an MCP server, or preparing your service for AI-driven purchasing. It evaluates whether agents can successfully complete end-to-end task fulfillment without hitting friction.

The best way to prepare APIs and webhooks for agentic commerce is to evaluate them against agent discovery and transaction protocols. This yields a readiness score and concrete remediation priorities to fix API compatibility and verification failures.

Agent transaction automation fails without verifying outcomes because agents cannot confirm task fulfillment. A readiness test evaluates your service's verification signals to ensure agents can validate completed actions and avoid failed automated transactions.