AI spend is the line item no one can explain. Dvara fixes that.
Every LLM and MCP call through DVARA is priced and attributed the moment it happens — by tenant, team, model, provider, and custom tag. Set budgets that warn before they stop spend, forecast the month, and hand finance a chargeback report instead of a guess.
Cost attribution & budgets ship in every DVARA install — see pricing.
By the time the invoice lands, the money is already gone.
Provider dashboards meter their product, not your org chart. Engineering can't see cost per feature; finance can't forecast; and a runaway agent loop or a bad prompt template shows up a month later as a number with no name on it. DVARA prices and attributes every call as it flows, so spend has a name the moment it happens.
From real-time pricing to chargeback finance can send
Hard caps stop spend with HTTP 402 before it blows the number; soft caps warn first by email or webhook, deduplicated so there are no alert storms.
Project where the month lands from trailing-period run-rate, per tenant — so finance sees the overage coming instead of discovering it on the invoice.
Get alerted when today’s burn spikes against a 30-day baseline, with per-tenant sensitivity. A runaway agent loop shows up in minutes, not next month.
As a tenant nears its cap, auto-route to a cheaper model by configurable rules instead of hard-failing the request.
Generate per-tenant chargeback reports as PDF or CSV — an artifact finance can actually send internally, not a screenshot of a dashboard.
Tag any call with team, feature, environment, or customer, then roll cost up by tag value — cost per feature, cost per team, on demand.
Price, attribute, govern, report
- 1
Price
Every LLM and MCP call is costed in real time from a pricing table you control — per model, per provider, input and output tokens — the instant it returns.
- 2
Attribute
The cost record is stamped with tenant, API key, model, provider, and any tags you attach (team, feature, environment, customer).
- 3
Govern
Budgets evaluate live: soft caps warn, hard caps stop, and downgrade rules kick in — globally, per tenant, or per API key, tightest limit wins.
- 4
Report
Dashboards, forecasts, anomaly alerts, and exportable chargeback reports — one honest view of AI cost shared by engineering and finance.
Every dollar, attributed in DVARA Flightdeck
Common questions about LLM cost attribution
Dvara prices each call as it completes using a pricing table you control, then stamps the record with tenant, API key, model, provider, and any tags — so spend is attributed the moment it happens, not reconstructed from provider invoices weeks later.
Yes. Hard caps reject calls with HTTP 402 once exceeded; soft caps warn first by email or webhook. Caps apply globally, per tenant, or per API key, and the tightest applicable limit wins.
No. You still pay the provider directly for tokens (bring-your-own-key). Dvara meters for attribution and governance — knowing who spent what, enforcing budgets, and producing chargeback — it does not resell tokens.
Yes. Per-tenant chargeback reports export as PDF or CSV, and cost summaries roll up by any tag value such as team, feature, or environment.
Soft-cap alerts fire before the hard cap, and you can auto-downgrade to a cheaper model by configurable rules instead of hard-failing the request.
See exactly what your AI costs — and who's spending it.
Cost attribution, budgets, forecasts, and chargeback ship in every DVARA install. Start a free 30-day trial, or read how it works.