sipi.bot vs Lago billing

Lago is an open-source usage-based billing engine. It meters and prices usage events. It does not evaluate whether the event should have occurred.

What Lago does

Lago (AGPL) ingests events, applies pricing plans, and computes invoices. For agent spend, Lago's role is post-hoc: it records usage that already happened. The pre-spend decision — whether the agent should have been allowed to make that call — is a separate layer.

Where they differ

DimensionLagosipi.bot
StagePost-spend (metering)Pre-spend (policy gate)
DecisionRecords & pricesAPPROVE/BLOCK/FLAG in <5ms
Loop protectionPrices the loopBlocks at first violation
Audit trailBilling recordsTamper-evident per-tx log
Human escalationN/AFLAGGED → approval queue
They complement. The billing platform meters what happens. The firewall decides if it should happen. For autonomous agents, the firewall blocks bad spend before it reaches billing. See plans →

Frequently asked questions

Do I need both Lago and sipi.bot?

Yes. Billing platforms meter what was spent; sipi.bot gates what can be spent before it occurs. For autonomous agents, you need the billing engine for pricing and the firewall for policy enforcement.

Can sipi.bot integrate with Lago?

The two layers operate independently. Your agent calls evaluate_spend before the transaction; if approved, the billing platform meters and prices the usage normally.

What's the failure mode without a firewall?

A retry loop generates valid usage events continuously. Without a pre-spend check, every event is metered, priced, and invoiced at full accuracy. The bill is correct — just catastrophically large.

Stop runaway agent spend before it happens

sipi.bot is a pre-spend firewall for autonomous AI agents — approve, block, or flag every transaction in under 5ms.

See plans →