AI Agent Cost Tracker

Track spending across multiple AI agents and LLM APIs in one dashboard. Developers using Claude, GPT, Gemini, and other models need visibility into which agents cost the most and where to optimize.

LLM API costs have become a genuine pain point in 2024–2025 as teams scale multi-agent workflows and discover their OpenAI bills with horror mid-month — the demand signal here is real and growing. Helicone and LangSmith both touch cost observability as a feature, but neither makes it the primary, cross-provider focus, so there's no dominant incumbent specifically owning this angle. The $500–2k/mo revenue band is believable for a narrow devtools utility: developers will pay small amounts for something that saves them from surprise invoices, but churn risk is high once teams grow and route everything through a platform like Datadog or a cloud provider's native cost tools. The biggest risk is commoditization — both Anthropic and OpenAI are building usage dashboards directly into their consoles, and a thin aggregation layer without deeper workflow integration gets squeezed from both sides fast.