Ship vs Wattfare

Assign an issue to SHIP. An agent team of specialists autonomously covers your SDLC, following your practices, verifying, proving, and reporting every change.

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

About Ship

Assign an issue to SHIP. An agent team of specialists autonomously covers your SDLC, following your practices, verifying, proving, and reporting every change. It lands faster than teams can verify its quality or account for its cost. Teams pick their own agents, tools, and models, and nothing connects that choice to what ships or the uneven quality it ships at. As agent adoption grows, that gap becomes unreviewed code, unpredictable spend, and outcomes no one can attribute.

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.