SilkRouter

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SilkRouter guide

Managed AI API billing for agencies and AI products

SilkRouter helps teams connect AI API usage to customer-safe billing views, invoices, and client reports.

How it works

One AI infrastructure control platform, explicit controls, measurable usage

Managed billing works when keys, clients, workspaces, balance, and usage records are organized before invoices or reports are needed.

Manual billing from provider dashboards is fragile. A gateway-based billing workflow can tie usage to your own client or workspace structure.

Control layer
Keys, routing, balance, reports
Migration check
SDK, model IDs, streaming
First test
One workflow and one key
Benefits

Why teams evaluate this path

Client-safe usage summaries

Separate API keys by client or workspace

Prepaid balance and spend controls

Reports with billed usage and invoice-ready line items

Decision guide

What to check before production traffic

Compatibility

Confirm SDK behavior, base URL setup, model IDs, streaming, and error handling before moving production traffic.

Operating controls

Check how API keys, balance, request logs, low-balance behavior, and offboarding work after launch.

Reporting workflow

Make sure the usage view answers finance, support, agency, or customer questions without rebuilding data manually.

FAQ

Questions buyers ask before switching

Use these answers to decide what to test, what to keep, and what not to assume before moving production traffic.

What should managed AI billing show?

Show client-safe billed usage, request counts, model mix, dates, and plain-language line items.

What should client reports include?

Include billed usage, invoice amounts, request counts, model mix, dates, and summary notes clients can review quickly.