LLM Cost Anomaly Explainer

Help developers quickly find the root cause of LLM bill spikes

Problem

Developers using LLM APIs like Claude often see unexpected bill spikes but can't explain why. Existing tools only show total costs, not the reason. Developers must manually cross-reference logs and usage records, which is time-consuming.

Solution

Connect to LLM providers' billing and usage APIs, automatically detect anomalies, and correlate with call logs (prompt length, model switches, retries) to provide attribution. Users can ask 'Why did my bill triple yesterday?' and get a natural-language answer with optimization suggestions.

Users

Small teams and indie developers using LLM APIs, especially those with tight budgets and no dedicated FinOps.

MVP

Connect to OpenAI/Anthropic billing APIs; aggregate costs by day/model/project; anomaly detection (day-over-day, week-over-week); simple attribution rules (token surge, model upgrades, retry storms); natural language Q&A interface.

Revenue

Subscription per monitored project: free for 1 project, $19/month for 5 projects; or usage-based pricing.

Why now

LLM costs are a major expense for developers, yet cost management tools are still crude; indie developers can quickly integrate mainstream APIs without heavy infrastructure.