Orders caller-supplied paid agent tools into a clear, trust-preserving upsell path.

Maps aggregate high-volume low-value machine-payment facts for treasury dust and reconciliation risk.

Buyer agents cannot quickly tell whether a public Agent Card has enough identity, skill, interface, security, signature, and documentation evidence before delegation.

Checks caller-supplied HTTP 402 cache and paid-route facts for leakage risk.

Buyer agents need to choose the right remote skill without executing tasks or trusting vague service descriptions.

Checks sanitized order, webhook, shipment, delivery, return, refund, and adjustment facts for continuity.

Creates safe fixture scenario recommendations for agent-commerce payment and checkout tests.

Audits paid MCP/tool confirmation prompts for clear buyer spend consent.

Classifies timeout, cancellation, partial result, retry, and charge-policy facts for paid work boundaries.

Compares agent-commerce quote, checkout, final payment, and order totals for unexplained deltas.

Classifies commerce schema fields for buyer-data minimization risk.

Audits sanitized MCP elicitation prompts and consent facts for scope and record gaps.

Checks agent-commerce terms, license, refund, support, and usage-policy URI metadata.

Maps caller-supplied agent-commerce role facts into payment, fulfillment, support, and refund boundaries.

Simulates caller-supplied agent checkout state facts for readiness gaps.

Compares seller checkout facts with caller-supplied agent-rendered buyer views.

Public agent listings make capability and trust claims that are hard for buyer agents to connect to actual evidence.

Buyer agents can land on public docs but fail to find service purpose, examples, price, limitations, and support path.

Agent-to-agent task handoffs can fail because payload shape, mode support, status handling, auth disclosure, or failure behavior is unclear.

Autonomous spend attempts need a black-box timeline that shows where the flow was safe, uncertain, failed, or completed.