Monitoring
Helicone
See exactly what your AI is doing, what it's costing you, and how to make it faster — all in one dashboard.
Using Helicone is like having a smart utility meter for your AI usage — it shows you exactly where every dollar goes, flags wasteful habits, and helps you cut your bill without changing how things work.
Helicone is a tool that sits between your app and the AI services it uses (like ChatGPT's API), keeping a detailed record of every request and response. It shows you how much you're spending, which prompts are slow or failing, and lets you save money by reusing common answers instead of paying for them twice. Think of it as the receipts, performance reports, and money-saving tips for any product built on top of AI. It's mainly used by people building AI-powered apps and services who need to keep an eye on costs and quality.
Best for
How well does it fit you?
Rough fit scores (1–10) for different kinds of people. Tap a row to highlight it.
Great at
Not ideal for
See it in action
Real prompts you could paste into the product — pick a persona tab below.
Use case
Keeping AI costs predictable as users grow
Try this prompt
Set up Helicone to track every OpenAI call, group costs by customer ID, and alert me when any single user costs more than $5 in a day.
Performance, trust, value, improving fast, here to stay
Score shape
We check this tool every day. The SovereignScore™ and its five dimensions update automatically when our pipeline detects meaningful changes across benchmarks, pricing, GitHub activity, trust signals, and longevity data. Below is a transparent log of the most recent applied adjustments.
No automated score adjustments have been published for this tool yet. When our scoring engine approves a change, it will appear here with the reasoning we used.
Open-source LLM gateway with logging, caching, and cost analytics.
No published updates for this tool yet.
Same category — with a plain-English note on how they differ when we have comparison copy stored.
Keep track of every AI experiment you run — so you never lose your best work or wonder 'what did I change last time?'
Helicone watches what your finished AI app is doing in the real world (costs, speed, failed requests), while Weights & Biases tracks the messy experimentation phase of actually building and training AI models — so they're really for different stages of the journey rather than direct competitors.
See exactly what your AI app is doing — and catch problems before your users do
Helicone focuses on tracking costs and caching responses to save you money on AI API calls, while LangSmith leans more toward debugging and testing complex AI app workflows, so the better pick really depends on whether you're watching the bill or chasing bugs.
Vendors can verify ownership and request corrections to how we describe or score your product.
Email claims deskExports and email alerts when ratings change — for teams evaluating many tools.
For builders who want the same update feed in their own apps — see /api/changelog.