Spend by model
Every model and provider, side by side.
Your AI bills show tokens. AI Hub shows what you got for them: the cost of every solved task, by team, user and repository, and where to save. Claude, ChatGPT, Cursor, Bedrock and more, in one place.
16 AI connectors · No SDK changes
taskonomics
A token count can't tell you whether the work got done. Taskonomics groups AI usage into tasks, like writing code, reviewing PRs or running agents, and measures what each one costs to actually solve, by department, repository and initiative.
See your cost per taskai integrations
Model providers, coding agents, gateways, clouds and data platforms. Connect them once and see every AI dollar side by side.
tokenomics and governance
See spend by model and identity, then set the guardrails that keep it in check.
Every model and provider, side by side.
Split each user's spend between their own work and their agents.
Monthly limits per person, team, repo or initiative, with approvals.
Allow or block models and providers for any group.
Route AI traffic through one endpoint. No SDK changes.
Input, output and cached tokens, by feature and customer.
AI Hub
Tokenomics shows spend by provider, model and user. Taskonomics shows what that spend got done, and what each solved task cost.
Spend by model and user.
Cost per task, team and repo.
Savings per task, ready to act on.
Limits and model rules.
how it works
Add Claude, ChatGPT Enterprise, Cursor, Bedrock and more with connectors, or route traffic through the AI gateway.
Spend is tied to the user, team, repository and task behind it, so every AI dollar has an owner.
Insights, spending limits and model rules keep AI spend where it pays off.
Taskonomics measures AI cost by the work it does. It groups usage into tasks such as writing code, debugging, agentic workflows or research, then shows runs, success rate, retries and the cost per solved task, by department, repository and initiative.
Provider dashboards show tokens and spend for one vendor. AI Hub brings every provider and AI tool into one view and adds context: who used it, for which task, and whether the task got solved.
Sixteen connectors today, including Claude, ChatGPT Enterprise, Codex, Cursor, OpenAI, Amazon Bedrock, xAI, Databricks, Snowflake and MCP servers. You can also route traffic through the AI gateway.
No. Connectors read spend and usage from the tools you already use, and the AI gateway works without SDK changes.
See AI spend by team, user and task, down to every solved task.