AI platform that supports thirdparty integration of application to check Cost usage Infinite Loop Kill-Switch: Real-time detection of "agentic loops" where an autonomous agent gets stuck repeating the same expensive tool-call, automatically cutting the connection before the bill hits $1,000.
Zombie Agent Finder: A dashboard that identifies deployed agents or API keys with high "idling" costs or high error rates (paying for failed tokens).
Prompt Bloat Analysis: Scans your system prompts to find "token waste"—identifying 20% of instructions that can be removed without affecting output quality, saving 20% on every call.
Model Switching Recommender: An "A/B Cost Benchmarker" that shows exactly how much you would have saved if you routed 40% of your easier tasks from GPT-4o to a cheaper model like Llama 3 or Claude Haiku.
Semantic Cache Hit-Rate: A tracker that shows how much money was saved by using a vector database (like Pinecone or Milvus) to cache previous answers instead of re-generating them via the LLM.
Task-Based Unit Economics: Instead of showing "Total Tokens," show "Cost per Resolved Support Ticket" or "Cost per Successfully Generated Lead."
Log in or sign up for Devpost to join the conversation.