SilkRouter

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SilkRouter guide

Prepaid AI API for controlled model usage

SilkRouter uses prepaid balance as the operating boundary for AI API traffic, helping teams fund usage before requests scale.

How it works

One AI infrastructure control platform, explicit controls, measurable usage

Prepaid credits make AI spend easier to understand: add funds, route requests, monitor balance, and replenish intentionally.

Postpaid provider billing can surprise small teams when traffic spikes. Prepaid balance gives founders and agencies a clearer budget boundary.

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

Fund before use

Monitor burn by workflow

Separate keys for projects

Combine credits with routing and spend limits

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.

Do prepaid credits prevent every overspend scenario?

They help cap funded exposure, but you still need server-side enforcement, monitoring, limits, and prompt discipline.

What should be visible to customers?

Show balance, billed usage, request status, limits, and helpful summaries.