Carbon
The analytics layer of AI
15 followers
The analytics layer of AI
15 followers
Know exactly what your AI is doing and what it costs. Carbon captures every LLM and tool call in 2 lines of code and turns it into a queryable ledger — cost over time, spend by model, heaviest users, tool failures, where agents stall. Every provider, 1,000 events free.
Interactive
Free Options
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@pranjalsd Cost is the obvious first use case, but quality matters too. Are you planning to connect spend with outcomes, so teams can compare cheapest model versus best model for a task?
@romejerome Hi Jerome — yes, that’s exactly the direction.
Cost is the wedge, but the bigger idea is value: cost + latency + reliability + outcome for each task.
Today Carbon gives you the ledger across models, users, agents, tool calls, failures, and duration. The next step is tying that to evals/outcomes, so teams can answer: “is the cheaper model actually good enough here?”
Because optimizing AI spend shouldn’t mean lowering quality — it should mean finding the best model for the job.
You can try it free without a card, or just browse the demo. Happy to show you what this view could look like for your own workflows.