AI Prompt Cost

Developers and product teams are searching for ways to predict and control the per-call cost of LLM APIs as they move from prototypes to production. The intent is almost entirely informational—teams are trying to understand pricing models before committing to a vendor. The opportunity lies in building a cost-estimation or optimization layer that sits between the user and providers like OpenAI or Anthropic, especially for B2B use cases where budgets are fixed.