What problem does it solve?
Manually querying OpenRouter's analytics API and parsing raw usage data to answer questions about spend, model performance, or billing is time-consuming and requires technical knowledge of the API schema. This Skill eliminates that friction by letting you ask natural language questions about your OpenRouter usage and getting clear, actionable answers.
Core Features & Use Cases
- Natural Language Analytics Queries: Ask questions like "What was my spend this month?" or "Which models cost the most?" without writing API queries or parsing JSON responses.
- Cost Optimization Guidance: Get tailored recommendations to reduce your OpenRouter bill, including identifying models with low cache hit rates, oversized prompts, or expensive alternatives.
- Pre-Built Query Templates: Access ready-to-use queries for common use cases like tracking request volume, analyzing latency by provider, and monitoring token usage over time.
- Use Case Example: A developer can ask "How can I reduce my OpenRouter costs?" and get a breakdown of their top-spending models, cache hit rates, and specific actionable steps to cut costs.
Quick Start
Use the openrouter-analytics skill to ask your natural language question about OpenRouter API usage, billing, spend, or cost optimization.