Tokonomics is an AI cost metering proxy that sits between an application and large language model providers. Its primary function is to intercept API calls to providers such as OpenAI, Anthropic, DeepSeek, Gemini, Mistral, Groq, and xAI, recording token usage, calculating costs, and attributing spend in real time. The tool is designed to address the gap in cost visibility for AI native teams, where LLM inference costs can represent 20 to 40 percent of total cloud spend, yet few teams have per feature cost attribution in place. Integration requires changing one API URL, with no SDK, code changes, or redeployment needed, and the proxy adds approximately 31 milliseconds of overhead per request. Key features include real time per call cost tracking with tag based attribution across over 60 models and 9 providers, budget alerts that fire to Slack, Microsoft Teams, email, or any webhook, and hard spending caps to prevent cost overruns. The tool also provides an analytics dashboard, a token counter, cost calculator, prompt optimizer, API request builder, model matrix, and ROI calculator. Data is encrypted in transit and at rest, and prompts are not stored. The free tier includes 100 proxy calls per month, one API key, and one budget alert, while paid plans start at 49 dollars per month for unlimited proxy calls, unlimited API keys, and unlimited budget alerts. Typical use cases involve teams that need to track and control AI spending across different features, teams, or customers. The workflow involves pointing API calls to Tokonomics instead of directly to the LLM provider, after which every request is forwarded transparently while usage data is recorded. Budget alerts and spending caps are enforced before costs escalate, and the tool works with any automation stack. Tokonomics is an HTTP proxy that supports any OpenAI compatible endpoint, and no credit card is required to start with the free tier. The tool was last updated in July 2026.