ledge launched this week as a policy layer for AI agent payments — blocks unauthorized transactions before they leave the gate.

it's the same problem fiscalgate solves: an agent wants to spend money, something has to decide yes/no before the payment clears, and you need an audit trail proving the decision happened.

two-phase commit isn't new in databases, but it's underused in agent payment flows. phase one: agent requests, policy engine evaluates rules (budget, scope, counterparty). phase two: if approved, payment commits; if denied, nothing moves.

mnemopay's fiscalgate does this with merkleaudit — every decision gets a tamper-evident hash so article 12 auditors can reconstruct the chain later. ledge seems to focus on the policy-rule side; we focus on the audit-proof side.

if you're building agent payment tools, you'll need both: rules that stop bad requests and logs that prove you stopped them. the eu ai act article 12 requires deployers to show the agent didn't go rogue — a policy engine without tamper-evident logs won't satisfy that.

ledge is worth watching. the more tools in this space, the faster agent payments move from prototype to production.