SilkRouter guide

AI API for crypto apps with prepaid model access

SilkRouter gives crypto and Web3 builders a prepaid AI API gateway for supported models, bot workflows, agent features, and usage monitoring.

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How it works

One AI infrastructure control platform, explicit controls, measurable usage

Crypto products often combine fast experiments, bots, user-facing assistants, and wallet-native expectations. A prepaid gateway keeps the AI layer easier to operate.

Direct provider accounts can be enough for a prototype. A gateway helps when several apps, bots, or client workspaces need shared controls.

Control layer

Keys, routing, balance, reports

Migration check

SDK, model IDs, streaming

First test

One workflow and one key

Related workflows

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Benefits

Why teams evaluate this path

Prepaid credits for funded usage

Keys separated by app, bot, or client

Routing for supported model families

Customer-safe billed usage visibility

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 crypto AI dashboards show?

Show funded balance, billed usage, request status, limits, and model activity.

What should teams test first?

Test the highest-risk user flow, model quality, rate behavior, low-balance handling, and usage visibility.

Next step

Create a key and test one workflow.

Start with Trading assistants and DAO bots, then review usage before expanding routing rules.

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Explore related workflows

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