Tokenomy is an AI cost management and metering platform, officially described as "the economic runtime for AI," with the core goal of making every AI expenditure accountable and controllable.
In terms of purpose, Tokenomy helps enterprises control costs before AI calls occur, rather than tallying them after the fact. It serves two types of users: first, engineering teams that bear the bill, and second, finance teams responsible for margins and forecasting.
Main capabilities include:
- Metering and attribution: meters every LLM and agent call, supports agent-level attribution, and can drill down to steps and tool calls.
- Budget enforcement: provides hard and soft budget caps that trigger before spending occurs, rather than alerting after the fact.
- Intelligent routing: routes requests to the cheapest model that still meets quality and latency thresholds, and supports failover.
- Financial features: calculates gross margins by customer and feature, provides spend forecasts with confidence intervals and month-end accruals, supports commitment drawdown tracking for Azure, AWS, and Anthropic contracts, and provides audit-ready billing allocation.
- Outputs and integrations: supports billing allocation exports, SLO monitoring, invoice runs, and executive PDF reports; provides Stripe metered billing integration.
In terms of usage, Tokenomy provides a metering proxy, intelligent router, budget guard, MCP server, and per-workspace API keys. The company says it can be deployed within a day, supports bring your own key (BYOK), and has no lock-in. The metering proxy covers OpenAI, Anthropic, Google, xAI, OpenRouter, and Ollama. The budget guard enforces quotas via HTTP 402 and supports Slack alerts. Prompt and response caching supports per-tenant isolation. The MCP server can be used with ChatGPT, Claude, and Cursor agents.
Applicable scenarios include: engineering teams that need to control the cost of multi-model calls, finance teams that need to calculate AI gross margin by customer or feature, organizations that need to enforce budgets and quotas, and scenarios that need to allocate AI spending to internal departments.
In terms of limitations, official materials do not provide specific pricing, plans, platform compatibility details, or performance data. Model pricing is refreshed twice daily, with the last update date being 2026-10-13. Free tools can be used without logging in, including a Token calculator, cost estimator, speed simulator, memory calculator, energy estimator, prompt visualizer, GPU monitoring, and the AI Economics Index.