Understand your AI usage: every agent, model, and request

OpenRouter’s Activity dashboard and beta Analytics API provide detailed visibility into AI usage and costs across agents, models, applications, users, API keys, and individual requests. The Overview and Trends views summarize metrics such as spending, requests, tokens, cache efficiency, and model usage, while Explore lets users create, save, export, and share customizable analyses covering cost, performance, latency, throughput, attribution, and guardrail activity. Charts can link directly to filtered request logs, where generation and prompt details reveal routing, discounts, caching, token estimates, tool-call overhead, metadata, and, when private logging is enabled, full message content. The Analytics API exposes the same data programmatically through metadata and query endpoints, enabling terminal-based analysis, custom dashboards, and agent-led cost reviews. OpenRouter highlights that these tools can identify expensive models or pipelines, trace spending to responsible workloads, and support straightforward changes such as swapping an unnecessarily costly model.

Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.