AI Agent Cost Cap Tool

Developers running AI agents (like coding assistants) risk unexpected high API bills if agents make excessive calls. Runcap sets local spending limits and prevents agents from exceeding budgets. Target users are developers experimenting with AI agents, startups building agent-based products, and enterprises managing AI costs.

Agent cost overruns are a well-documented pain point right now — as LLM API pricing stays unpredictable and agentic workflows become common, a single runaway loop can generate a four-figure bill overnight, and the complaints are visible across Hacker News and Reddit weekly. No clear incumbent owns this space, though AWS Budgets and some API gateway tools offer crude spending alerts that don't operate at the agent or call level. The $500–3k/mo revenue band is realistic only as a bootstrapped solo project, since the core feature is thin enough that OpenAI, Anthropic, or a popular SDK like LangChain could ship it as a native feature in an afternoon — which is also the biggest risk: this is a stopgap that platform vendors have every incentive to commoditize, likely killing the market within 12–18 months of any meaningful traction.