OpenRouter Usagev1.1.3

A freelance developer uses multiple OpenRouter models for client projects and needs to track daily and weekly spend to stay within budget and invoice accurately. This skill provides real-time totals and per-model breakdowns to allocate costs to specific projects and monitor usage spikes.

A tech startup integrates OpenRouter APIs into their product and must monitor monthly usage to control operational costs and forecast expenses. The skill helps them analyze spend by model to optimize model selection and set usage alerts based on historical data.

A university research team uses OpenRouter for NLP experiments and needs to track usage across different models to manage grant funding efficiently. The skill allows them to review weekly and monthly totals and break down costs by model to justify expenditures in reports.

A large corporation runs a pilot program testing various LLMs via OpenRouter for internal tools and requires detailed cost analytics. This skill provides live totals for quick oversight and per-model historical data to evaluate performance versus cost for scaling decisions.

A digital content agency uses OpenRouter for generating marketing copy and needs to attribute costs to specific clients based on model usage. The skill offers spend breakdowns by model over the past week to create accurate invoices and track profitability per client.

Companies offering AI-powered tools can integrate this skill to monitor their own OpenRouter costs and pass them through to customers via usage-based pricing. It helps track per-model expenses to set competitive rates and ensure margins are maintained.

Consultants use this skill to audit clients' OpenRouter usage, identifying inefficiencies like overuse of expensive models. They provide recommendations to reduce costs, charging a fee for analysis and ongoing monitoring services.

Developers build a SaaS platform that aggregates OpenRouter usage data from multiple users, offering advanced analytics and reporting. This skill serves as the core data-fetching component, enabling features like trend analysis and budget alerts for subscribers.