Managing multi-provider AI billing across hundreds of internal teams and client applications is an operational headache. Automated spend accounting consolidates disparate provider invoices into a single, unified financial ledger, providing real-time credit tracking, transparent transaction history, and exportable financial reports across all corporate departments.
Finance teams must manually collect, verify, and reconcile separate invoices from OpenAI, Anthropic, Microsoft Azure, Google Cloud, and AWS Bedrock each billing cycle, wasting valuable accounting time.
Multi-currency invoicing across global cloud providers introduces volatile exchange rates and international transaction fees that complicate spend tracking and budget accuracy across international subsidiaries.
Standard monthly invoices provide zero visibility into daily consumption trends, making it impossible to catch runaway spend before the month ends and budgets blow up unexpectedly.
Enterprises must maintain detailed records of AI service consumption to satisfy tax authorities and corporate audit standards across multiple jurisdictions and business units.
Aggregates all upstream provider usage into a single unified monthly statement with Stripe billing.
Append-only PostgreSQL spend logs capturing exact micro-dollar amounts per inference request.
Instant data export for integration with enterprise ERP, NetSuite, and corporate accounting systems.
nRouter consolidates all AI model consumption into one clear, unified billing experience. Instead of managing multiple credit cards and vendor contracts, organizations maintain a single prepaid credit balance processed securely through Stripe. Real-time spend logs capture every transaction down to the micro-dollar, complete with timestamps, model names, and virtual key tags. Automated invoices provide full tax compliance and transparent accounting, backed by exportable FOCUS 1.4 financial reports.
Discover how modern engineering and finance teams streamline AI billing, eliminate vendor sprawl, and automate invoice reconciliation.
Your balance is not a stored number, it is the sum of a ledger. Here is how to read the four numbers on the balance card, the entry types behind them, and the two identities that prove your balance is doing what it should.
Prepaid tokens are one provider's currency, priced against one rate card. Gateway credits are dollars that fund any model behind one key. Here is how to consolidate, read the balance card, and prove each call settled at real cost.
Auto top-up keeps your balance from hitting zero mid-traffic, but on its own it removes the only thing that stops a runaway. Here is the three-number configuration — threshold, top-up amount, and a Block-mode budget — that makes it safe.
Checking a balance and then calling a provider is a race, and under the fan-out an LLM gateway is built for it loses. Here is the reserve, settle and release contract as you can observe it — what your balance does on success, on an upstream failure, on a timeout, and when the cost is never knowable.
Why nRouter reads the settled LLM cost directly from providers instead of guessing, and why unknown model costs are reported as unpriced rather than as $0.
Bring-your-own-key sounds customer-friendly and mostly relocates work to you. nRouter issues one key and credits and manages every provider account — here is the reasoning, the blast-radius math, what the choice costs you, and who should pick a BYOK gateway instead.
Image, video and audio models price per image, per second and per minute, not per token — and the expensive ones are the newest ones. nRouter holds a modality-appropriate reservation before the call and reports an unknowable cost as unpriced, never as zero.
If you resell AI, the model bill is the wrong unit. Attribute every call to the customer it served with the OpenAI user field, cap each customer independently, and reconcile the sum against your ledger to the cent.
Provider pricing does not normalize on its own — per-token, per-image, per-second, provisioned. Here is how nRouter turns that into one settled cost per request that your app, your ledger and your dashboard all read, and why an unknown cost is reported as absent rather than as zero.
