Tokonomics

Tokonomics is an API proxy that sits between your application and any LLM provider — OpenAI, Anthropic, DeepSeek, Google Gemini, xAI, and any OpenAI-compatible API. Change one URL, keep your existing code, and get complete cost visibility. The problem: AI API bills are unpredictable. Teams discover $500+ overruns only when the invoice arrives. There's no built-in way to track cost per feature, per team, or per customer across multiple LLM providers. How it works: Route your LLM calls through Tokonomics (one URL change — no SDK, no code rewrite). The proxy forwards requests to the upstream provider, streams responses back unchanged, and records every call — tokens, cost, model, latency. What you get: - Real-time cost dashboard with daily spend charts, model breakdown, and budget gauge - Budget alerts via email, Slack, or Microsoft Teams when spending hits 70%, 90%, or any custom threshold - Hard spending caps that block API calls when the monthly budget is exceeded — no more surprise bills - Per-feature cost tracking using custom tags (X-Metering-Tags header) — see what your chatbot costs vs your summarizer - AI cost optimization reports that detect expensive patterns: wrong model choice, output token waste, cost spikes - Support for 9+ LLM providers in one unified dashboard - Prompt cache tracking with per-provider discount calculation (OpenAI 50%, Anthropic 90%, Gemini 75%) - Works with any language, any framework, any HTTP client — PHP, Python, Node.js, Go, Ruby, curl Built for SaaS founders, agencies, and automation builders (n8n, Make, Zapier, Flowise, Bubble) who need to know exactly what their AI features cost before the invoice arrives. Free plan: 100 API calls/month, 1 budget alert, 30-day retention. Pro plan: $49/month — unlimited calls, unlimited alerts, 90-day retention, hard caps, Slack/Teams alerts, cost optimization reports. 31ms average proxy overhead (3.6% on a typical LLM call). Open benchmarks published at tokonomics.ca/blog/proxy-latency-benchmark-2026.