— imported period
Unified LLM spend
One dashboard.
One dashboard.
Every model bill.
— of $10k budget
0% cache hit rate
— observed success rate
Daily spendAll providers
$500$250$0
Provider splitCurrent period
$0 total
$0Total
Highest-spend projectsWhere the bill goes
| Project | Models | Requests | Spend |
|---|
Top opportunity
Waiting for usage
Connect a provider or record local events to unlock recommendations.
Price opportunity$0
Projects
Spend, attributed.
Every connected vendor normalized into one project ledger.
Project ledger0 active projects
| Project | Provider | Models | Tasks | Success | Cost / success | Spend |
|---|
EfficiencyCheaper only when
Cheaper only when
the work still works.
TokenTab compares cost per successful task, retries, latency, tests and quality—without collecting prompts or responses.
Raw prompts, responses, messages and code are rejected. Ten paired tasks produce an observed result; verified switches require 30+ paired tasks and a 95% confidence-bound quality gate.
ConnectionsOne setup.
One setup.
Separate consent.
Name the private workspace, discover local credentials, then authorize each AI provider independently. No account or email is required.
Zero-account onboarding
Discover your providers
Give this local workspace a name. TokenTab checks the credentials already available to this process without uploading or persisting them.
tokentab — local setup
$ export OPENAI_ADMIN_KEY="…"
$ export ANTHROPIC_ADMIN_KEY="…"
$ tokentab connect openai
$ tokentab connect anthropic
$ tokentab record --provider groq --model llama-custom --cost 0.04
$ npm install https://github.com/adididitagain/tokentab/releases/download/v1.0.0/tokentab-ai-1.0.0.tgz openai
$ tokentab eval --file evals.json --models gpt-5.6-terra,claude-sonnet-5 --allow-provider-data
$ tokentab dashboard