Track and reduce AI API credit waste by auditing per-call usage and recommendations

Track and reduce AI API credit waste by auditing per-call usage and recommendations targets a $6.0B = 2M businesses × $3K ACV total addressable market with medium saturation and a year-over-year growth rate of 30% YoY — generative AI API adoption and SaaS observability demand growing rapidly (source: IDC / MarketsandMarkets generative AI adoption estimates).

Key trends driving demand: Broad adoption of metered generative-AI APIs — as companies embed models, predictability and governance become necessary, creating demand for consumption visibility.; Multi-vendor model usage — teams use several providers, which creates a need for normalization and cross-provider analytics.; Shift from experimentation to production — as AI features move into paid production, finance and engineering teams require forecasting and anomaly detection.; Rise of AI observability — investors and customers expect dedicated tooling for LLM debugging, cost tracking, and performance metrics, expanding the observability category..