SpendLens AI

Your AI bill is growing. See which workloads caused it.

SpendLens AI is an AI cost observability and optimization platform that helps engineering and finance teams understand, attribute, and reduce spending across OpenAI and Anthropic workloads.

Instead of showing only token totals or provider-level invoices, SpendLens connects AI costs to the applications, features, projects, endpoints, and business workflows that generated them. Teams can identify expensive workloads, detect prompt and token waste, compare model costs, monitor cache efficiency, and discover lower-cost models worth testing.

SpendLens integrates directly into existing Python and Node.js applications without proxying model traffic or changing how requests reach AI providers. Its privacy-aware telemetry captures operational usage metadata while avoiding the collection of full user prompts and model responses by default.

With SpendLens AI, teams can:

• Attribute AI spending to specific products, features, and workloads

• Track OpenAI and Anthropic usage from one dashboard

• Identify sudden cost increases and inefficient request patterns

• Detect opportunities to reduce prompt and completion-token usage

• Compare models and estimate potential savings before migrating

• Measure prompt-caching performance and missed caching opportunities

• Generate actionable cost and optimization reports

• Give engineering, finance, and leadership a shared view of AI expenditure

SpendLens turns fragmented AI usage data into clear engineering decisions. It helps teams answer not only “How much are we spending?” but also “What caused the cost, why did it increase, and what should we test first to reduce it?”

Whether you are launching your first AI-powered product or managing millions of production requests, SpendLens AI provides the visibility and recommendations needed to control AI costs without sacrificing reliability, privacy, or output quality.