SilkRouter

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SilkRouter guide

Buy AI API credits with USDC for prepaid model access

SilkRouter is built around prepaid AI API balance, so teams can fund access first and route usage through controlled API keys.

How it works

One AI infrastructure control platform, explicit controls, measurable usage

A prepaid workflow helps founders, agencies, and crypto-native teams test AI features without handing every project an uncapped provider account.

Direct provider billing can be practical for one app, but prepaid credits are easier to reason about when several products, clients, or bots consume shared AI infrastructure.

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 balance before usage runs

Track customer-safe billed usage

Separate test, sandbox, and production keys

Keep wallet and provider details out of normal customer UI

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.

Are credits the same as a savings guarantee?

No. Credits cap funded exposure, but actual spend depends on model choices, prompts, output length, retries, and traffic.

What should customer pages show?

Customer pages should show balance, billed usage, request status, limits, and helpful summaries.