GeminiProve which coding agents pay off.
Every model call, tool action, and retry — tied to an accepted task. Compare completed-work costs, cut waste, and defend your ROI with evidence.
Every number on this page, live in your dashboard.
Spend, acceptance, and verified outcomes for every team — updated as tasks close.
Raw usage becomes a result you can defend.
Provider invoices, agent activity, and acceptance events are correlated into one ledger — so cost, cause, and value hold up in the room where budgets get decided.
Inspect the evidence
Accepted · Linear issue closedDEFENSIBLE COSTJudge models by shipped work — not token price.
Repository migrations · same workload, same acceptance rule, full task cost.
Z.ai · GLM-5.2 
Moonshot AI · Kimi K3
Google · Gemini 3 ProSee exactly which combination earns its cost.
Cost, duration, rework, and failure rate for every agent-model pairing your team runs — not just the model price sheet.
Find the failure. Fix the cause.
Prompt, model response, tool results, retries, and acceptance evidence — correlated, so teams can tell model failure from unclear instructions.
Expected: one invoice
Received: 409 duplicate_invoice
Put every dollar somewhere — and explain what remains.
Allocate recorded spend first. Reconcile it with provider invoices second. Forecast only after the current period makes sense.
Every assumption stays visible until the result.
Accepted tasks × a value your workspace defines, minus recorded agent-stack cost. No hidden multipliers — every number is inspectable.
Audit your agent spendAccount for the work. Not just the tokens.
Try AgentWolf with your existing coding-agent stack — review task costs, failure patterns, and model economics to help engineers ship more per dollar.
Audit your agent spendAgentWolf