CodeRadius vs Wattfare

An open-source architecture graph built statically from your code: every service, API, queue and database across all your repos. Cross-repo blast radius in seconds,...

Users connect, set a spending cap, and you call any model through one SDK, charged to them, not you.

About CodeRadius

An open-source architecture graph built statically from your code: every service, API, queue and database across all your repos. Cross-repo blast radius in seconds, readable by humans and AI agents over MCP. CodeRadius builds a live graph of your architecture straight from the code: every service, API, queue and database, across every repo and language. cr blast turns any diff into its cross-repo blast radius in seconds, and your AI agents read the same graph over MCP.

About Wattfare

Users connect, set a spending cap, and you call any model through one SDK, charged to them, not you. OpenAI-compatible Works with the Vercel AI SDK ~5-min integration. One button connects a user's inference budget to your app, metered, capped, and revocable. The problem AI costs are the one line item you can't predict. Every AI app makes the same uncomfortable bet: price high enough to survive your power users, ration usage so nobody hurts you, or quietly lose money on the heavy ones.