Launching today
Carbon
The analytics layer of AI
9 followers
The analytics layer of AI
9 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.
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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.