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This article focuses on OpenRouter's new analytics tools for monitoring AI agent costs, token usage, and guardrail effectiveness, addressing the operational need to optimize spend and identify inefficient models in production environments. By providing granular data per request and agent, these features enable organizations to implement cost controls and security policies without relying on proprietary dashboards.

Sources coveringOpenRouter, LessWrong, Slack Blog, AWS

What this isA model's reading of the article and related coverage, written for aiqbench. Not the publisher's words.

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

OpenRouterAugust 17, 20266 min read

See what your team spent on every model, save the charts you keep rebuilding, click any bar to land in the logs behind it, and query the same data from your terminal with the Analytics API.

Every company that spent the last two years deploying agents is now asking the same question: what are they costing us, and which ones are worth it? OpenRouter’s Activity dashboard and Analytics API answer that question per agent, per model, per request. Open Activity to see how spend breaks down across agents, apps, and team members. Find out which models and tasks drive costs, and where caching cuts your bill. Create and save custom views, then drill from any chart down to the individual requests. All of the data is available through the Analytics API. Point your agent at the openrouter-analytics skill to dig into your usage, get a quick answer in your terminal, or pull the…

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