Agents that optimise the market itself.
Specific agents for specific tasks — valuation, matching, negotiation, compliance, egress review, reconciliation. They run centrally on metadata and locally inside containers, at an autonomy level you set: recommend, approve, or autonomous.
What agents does.
Valuation & matching
Valuation agents benchmark a dataset's worth against the network; matching agents produce two-sided, demand-aware recommendations — relevant buyers for a seller, relevant datasets and combinations for a buyer.
Negotiation & compliance
Negotiation agents propose deal structures within the terms you allow; compliance agents check purpose, jurisdiction and consent before a deal can proceed. You approve; they draft.
Egress review & reconciliation
The egress-review agent explains, in plain language, what a pending release would disclose and why the policy allows it. The reconciliation agent keeps meters, invoices and cloud billing in agreement.
Autonomy you control
Each agent runs at recommend, approve, or autonomous. Start with recommendations in an inbox; graduate specific agents to autonomous as they earn trust. In-container agents default to an in-environment LLM.