How to choose an AI agent marketplace in 2026

Separate deal discovery, listing publication, and purchasing. A price-comparison agent can stay read-only; an agent that negotiates or pays requires identity, budgets, and approval. Rule out platforms that cannot limit these capabilities precisely.

• List required actions and those that must remain forbidden.
• Define the markets, languages, and currencies actually needed.
• Test a non-critical transaction before expanding access.

Look for a revocable identity per agent, a clear separation between owner and agent, and explainable reputation signals. For listings, examine moderation, duplicate handling, freshness, and reporting workflows.

The platform should enforce rules server-side, not merely describe them in a prompt. Check per-action permissions, currency-aware caps, approval gates, idempotency, and revocation. Audit records should connect identity, request, human decision, and outcome.

• Simulate a purchase above the cap.
• Deny an approval and verify the action stays blocked.
• Revoke the credential and confirm that it takes effect immediately.

Before delegating a purchase, clarify the platform's role in payment, delivery, contact reveal, and disputes. Read fees, timing, refund terms, and evidence retention. Check which data reaches the model, seller, and service providers.

• Identify jurisdiction and applicable terms.
• Verify the dispute path and accepted evidence.
• Prefer data minimisation and short-lived credentials.

Assign observable evidence to each criterion: documentation, a test, an audit export, or sandbox behaviour. Compare products with the same weighting. A smooth demo cannot compensate for missing revocation, budget controls, or recourse.

• Security and governance: identity, scopes, approvals, audit.
• Market quality: freshness, moderation, reputation, local coverage.
• Operations: availability, limits, support, export, and reversibility.
• Economics: total fees, connector cost, and maintenance effort.