Know exactly how much you're spending on AI. Track token usage across OpenAI, Anthropic, and every major provider—per user, per feature, per request.
import { init } from "@revenuetrack/core";
import { track } from "@revenuetrack/ai";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
init();
const { text } = await generateText({
model: track(openai("gpt-4o")),
prompt: "Hello, world!",
});Built for developers who want visibility into their LLM spending without changing how they write code.
Monitor token usage as it happens. Track every API call across all your LLM providers instantly.
Break down costs by user, team, or feature. Understand exactly where your AI budget goes.
Add tracking with a single line of code. Works with Vercel AI SDK, or use our REST API directly.
Async event batching ensures tracking never slows down your AI responses.
We only track usage metadata. Your prompts and responses stay private.
OpenAI, Anthropic, Google, Mistral, and more. One dashboard for all your LLM usage.
Use our TypeScript SDK, Python client, or REST API directly. Choose what fits your workflow.
import { init } from "@revenuetrack/core";
import { track } from "@revenuetrack/ai";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
init();
const { text } = await generateText({
model: track(openai("gpt-4o")),
prompt: "Hello, world!",
});RevenueTrack is an LLM usage and cost tracking platform built for modern AI product teams.
RevenueTrack captures usage metadata such as tokens, latency, and model identifiers. We do not store prompts or completions.
We support OpenAI, Anthropic, Groq, Gemini, and any provider you can send through the REST API.
RevenueTrack is free during beta. You only pay the underlying model provider charges.
Unlimited free during beta. No credit card required.