Track AI spend across OpenAI, Anthropic, and Gemini in one place. Attribute every cent to specific features and users. Stop the invoice shock and start scaling with clear margins. Integrated in 5 minutes.
Works with all major AI providers
OpenAI
Anthropic
Google Gemini
Amazon Bedrock
GrokMost teams scale their AI features into a black box. By the time the invoice arrives at the end of the month, it's too late to fix the burn.
OpenAI (tokens), ElevenLabs (seconds), Anthropic (tokens). Each provider uses different billing logic. Unifying them manually is a full-time job you didn't sign up for.
Was it the power users? The new chatbot? The image generator? You're flying blind, unable to see which specific features are burning your budget in real-time.
You're growing, but you're losing money on every request. Without clear unit economics, your pricing is just a guess, and guessing leads to negative margins.
Building your own cost tracker takes weeks of engineering time. Time that could have shipped 3 new features. And once it's built, the work never ends. You're stuck manually updating pricing sheets every time OpenAI drops a new model or Anthropic changes their rates.
There's a better way
One API call after your AI provider response. Send any metadata you want, such as feature tags, customer IDs, or environments, to track costs your way. No SDK required.
// After your OpenAI call
const response = await openai.chat.completions.create({
model: "gpt-4o",
messages: [{ role: "user", content: "Hello!" }]
});
// Send to Fenra
await fetch('https://api.fenra.io/ingest/usage', {
method: 'POST',
headers: {
'Content-Type': 'application/json',
'X-Api-Key': process.env.FENRA_API_KEY
},
body: JSON.stringify({
provider: 'openai',
model: response.model,
usage: [{
type: 'tokens',
metrics: {
input_tokens: response.usage.prompt_tokens,
output_tokens: response.usage.completion_tokens,
total_tokens: response.usage.total_tokens
}
}],
context: {
customer_id: 'my-company',
feature_name: 'chat-assistant',
environment: 'production'
}
})
});Most teams wake up to a invoice they can't explain. Fenra fills the gap between your AI invocation and your balance sheet so you can finally answer: Is this feature profitable?
Drill into costs by customer_id or feature_tag to see exactly who is driving spend. You will know which features are profitable and which are burning your budget before the invoice even arrives.
Every request is tracked with its cost, model, and metadata. Eliminate "mystery spikes" by seeing exactly what happened if your invoice jumped 300% overnight.
Create personalized dashboards that show the value of your AI initiatives. Start with pre-built templates or build your own views tailored to prove ROI and optimize spending.
Automatically send usage and spend reports to your finance team. Generate on-demand reports or schedule recurring ones to get the data you need exactly when you need it.
Predictable AI costs for every stage of your growth. Get full cost attribution in 5 minutes and start scaling with clear margins.
Perfect for individual developers, side projects, and proof-of-concept
Free forever
Perfect for early-stage startups and small AI features
Perfect for scaling startups and multi-feature AI products
Perfect for enterprises and high-volume AI platforms
Everything you need to know about tracking AI costs without the engineering overhead.
Get complete visibility into your AI spend across features, users, and models. Set up in 5 minutes. No credit card required.