Hard ceilings, soft warnings, and clean per-team chargeback for every dollar of AI spend. One invoice for finance; line-item attribution for every cost center.
AI spend grows non-linearly with traffic. One badly-written agent loop, one new feature shipped on Friday, one experiment left running over the weekend — and finance is asking questions on Monday.
Spend guards put real budgets on AI traffic: hard caps that throttle before damage is done, soft warnings before they trip, and clean per-team chargeback so the cost lands on the right cost center.
At 80% budget, Slack ping to the team owner. At 95%, page the on-call. No traffic impact — just human-in-the-loop signal so spend doesn't surprise anyone.
Per-team and per-key limits on requests, tokens, and concurrency per minute. Catch runaway agent loops early — and protect your downstream provider quotas.
Per-team, per-route, per-workspace ceilings. Once hit, requests return a structured 429 with a reset time. Service stays up; runaway loops stop.
Spend rolls up to cost centers automatically — using the same workspace + team headers your app already sends. Export to your finance system, or just hand finance the read-only dashboard.
data-science is at 92% of monthly budget — a Slack alert fired this morning. If they hit 100%, the hard cap returns a structured 429 with a reset time: service stays up, runaway loops stop.
Spend rolls up by workspace, team, route, model, and any custom tag your app sends. Export CSV, or pull the same data via API into your finance system or warehouse.
Per-team breakdown matching your cost-center structure. Hand to finance, done.
Read every request's cost, attributed team, and provider via REST. Build your own dashboards.
Spend metadata can be batch-synced hourly into your warehouse. Join with your existing finance dimensions.
A 30-minute walkthrough with a solutions engineer — bring your provider list and we'll map it live.
