Agent cost intelligence
See the economics of every coding agent.
AgentWolf connects usage to accepted work so you can compare task cost, failed spend, model effectiveness, and coding-agent ROI in one financial view.
No engineer scoring. No productivity ranking.Workspace acceptance event
Merged PRClosed ticketSuccessful deployHuman approval
From event to entry
From provider usage to a defensible ROI calculation.
The ledger preserves every contributing event while keeping accepted work as the unit finance and engineering can share.
01 · Cost↗
Calculate the full cost of each task
Group provider calls, coding-agent actions, tools, retries, and context reloads around one accepted outcome.
02 · Failure↗
Keep unsuccessful work visible
Separate accepted, failed, and abandoned attempts so dead-end spend never disappears inside successful work.
03 · Models↗
Compare models on accepted-task economics
See which model produces the strongest acceptance rate and lowest cost per accepted task for each workload.
04 · ROI↗
Calculate coding-agent return
Compare workspace-defined accepted-task value with total coding-agent cost to make ROI explicit and reviewable.
Measure the agent stack your teams already use.
Combine provider usage, agent execution context, and acceptance events from the tools already doing the work.
OpenAIProvider
AnthropicProvider
GoogleProvider
CursorAgent
Claude CodeAgent
GitHubWork system
JiraWork system
LinearWork system
OpenRouterProvider
OpenCodeAgent
VS CodeEditor
See the ledger
Give every AI dollar a destination.
See how AgentWolf turns fragmented telemetry into a ledger your engineering and finance teams can use together.
BringFinance and engineering owners
TraceOne accepted task through its full cost
Leave withA ledger model for your workspace
Focused working sessionBook a demo