T/ TOKENTAB
Detecting local engine
Unified LLM spend

One dashboard.
Every model bill.

Last synchronized Waiting for engine… Auto-refreshes every 60 seconds
Combining provider APIs and local events
Current spend $0.00
imported period
Projected month $0.00
of $10k budget
Requests 0
0% cache hit rate
Cost / successful task
observed success rate
Daily spendAll providers
$500$250$0
Provider splitCurrent period
$0 total
$0Total
Highest-spend projectsWhere the bill goes
ProjectModelsRequestsSpend
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
ProjectProviderModelsTasksSuccessCost / successSpend
Efficiency

Cheaper only when
the work still works.

TokenTab compares cost per successful task, retries, latency, tests and quality—without collecting prompts or responses.

Tracked tasks0metadata-only outcomes
Successfulwaiting for outcomes
Cost / successobserved spend only
Verified switches0paired local evaluations
Privacy + evidence

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.

Connections

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.

Provider access is always authorized separately. Email is unnecessary and never used to connect an AI account.
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