The category of agentic advertising marketplace is new enough that most procurement teams have not yet developed a consistent evaluation framework. The criteria that applied to demand-side platforms partially carry over, but the key questions shift, because what the buyer is purchasing is different: not a bidding interface, but a negotiation layer that operates on behalf of human buyers with varying degrees of autonomy.

TL;DR: Evaluating an agentic advertising marketplace requires different questions from a standard DSP procurement checklist. The most important are: who owns the deal record, where does the approval step sit, and what is the audit trail when something goes wrong. Platforms that cannot answer those three questions precisely are not production-ready.

What does "agentic" actually mean for a media buying platform?

"Agentic" describes a system that takes consequential actions on behalf of a user, with defined inputs and permitted decision ranges, rather than just presenting options for human selection. In an advertising context, an agentic platform does not just surface inventory; it negotiates deals, sets terms, and executes within parameters the buyer has approved. The distinction matters for evaluation because the risk profile is different. When a human buyer makes an error, they can be held accountable and the decision trail is visible. When an agent makes an error, both accountability and recovery depend entirely on what the platform records and how.

Who owns the deal record?

The deal record is the canonical source of truth for what was agreed, at what price, for what inventory, and under what conditions. In traditional programmatic, this record lives in the DSP and the SSP, which creates the well-documented reconciliation problem: two versions of the same deal with no binding authority between them. An agentic marketplace that solves this problem will have a clear, single, bilaterally agreed deal record that both buyer and seller hold. Ask any vendor where the deal record lives and who can modify it after execution. If the answer is not specific, assume it defaults to the DSP's log.

Where does the approval step sit?

The earned autonomy model for agentic systems describes a five-stage progression: observe, recommend, draft, human-approved action, bounded automatic action. Production deployments in media buying generally sit between stages three and four. That means the agent drafts or proposes deals, but a human approves before execution above a defined threshold. Evaluate whether the platform supports this explicitly, or whether autonomy is an all-or-nothing toggle. Platforms that have designed approval into the architecture are materially safer than those that treat it as a bolt-on.

What is the audit trail?

A clean audit trail answers three questions: what did the agent do, when, and on what authority. "The agent bought this" is not an audit trail. A proper audit trail names the decision rule that triggered the action, the approval that authorised it, the version of the deal that was agreed, and the outcome. Evaluate whether the platform produces this record automatically, whether it is exportable, and whether it survives the agent session.

How does it connect to existing infrastructure?

Agentic marketplaces do not replace the full ad stack. Planning, inventory management, activation, ad serving, delivery, and measurement all remain in existing systems. What changes is the negotiation step between buyer and seller. Evaluate whether the platform integrates at that layer specifically, what the API surface looks like, and whether it requires changes to existing infrastructure or can operate alongside it. Platforms that position themselves as full-stack replacements are making a much larger claim that warrants proportionally greater scrutiny.

What happens when the agent makes an error?

This is the question most evaluation checklists omit, and it is the one that matters most at scale. Ask for the specific recovery procedure when an agent executes a deal outside its approved parameters. The answer should name a mechanism, not describe a philosophy. If the platform does not have a defined error-recovery path with human notification and rollback options, that is a structural gap.

The question most evaluation checklists miss

The question is: what does the agent optimise for when its objectives are in tension? Most agents have a primary objective (cost efficiency, reach, completion rate) and secondary constraints (brand safety, frequency caps). When those conflict, the agent makes a trade-off. Evaluation should surface how that trade-off is resolved, who set the rules, and whether the buyer can inspect the decision after it happens. Platforms with a clear, documented answer to this question have thought seriously about agentic accountability. Those without one have not.

Alkimi's DealSheet is bilaterally owned by buyer and seller: both parties hold the deal record and both retain approval rights at the deal level. That design directly addresses the deal record and approval questions this checklist surfaces, and provides a single source of truth for the audit trail.