
CommitCat
Tokonomics.ca
Helicone AI
Portkey
LangSmith
AIcostBoard.com
Langfuse
Tokenwise
Tokonomics.caTokonomics.ca's answer:
Anyone using LLM APIs in production who wants to know what they're spending before the invoice arrives.
Tokonomics.ca's answer:
Tokonomics.ca's answer:
Tokonomics is budget-first, not observability-first. Most competitors (Helicone, LangSmith, Langfuse) focus on traces, logs, and evals. Tokonomics focuses on one thing: making sure you never get surprised by your AI bill.
Tokonomics.ca's answer:
Tokonomics.ca's answer:
A team got blindsided by a $47,000 LLM API invoice in a single billing cycle. No warning, no alert, no dashboard โ just a Stripe charge that wiped out months of runway. Most of those calls were GPT-4 requests that could have been handled by models 25x cheaper.
That invoice shouldn't have been possible. Tokonomics was built so it never happens again โ a transparent proxy that sits between your app and any LLM provider, tracking every token, every dollar, and alerting you before you blow your budget. Built solo, bootstrapped, no VC funding.
Tokonomics.ca's answer:
Based on our record, Tokonomics.ca seems to be more popular. It has been mentiond 2 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
I run Tokonomics, an AI cost metering proxy, and we see the invoices. Teams running 1 million reasoning calls per month on o1 are paying $75,000. The same workload on R1? $2,740. The difference is $72,260. Per month. - Source: dev.to / about 1 month ago
I built Tokonomics specifically for this: it sits as a proxy between your app and DeepInfra (or any provider), tracks spend per API key, per feature, per customer โ with budget alerts and hard caps. - Source: dev.to / about 1 month ago