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Run it reliably

See what drives agent spend

Break estimated agent spend down to the jobs and dependencies that produced it.

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Captured from the product Demo workspace
Break estimated cost down by agent, model, tool, and domain, with missing price data shown rather than hidden.

What this changes for your team.

Execution records usage and applies the rate information available for model and tool activity, then aggregates estimates by domain and run. Figures are estimates rather than provider invoices, especially where a provider omits usage or pricing changes.

How it works in practice.

  1. 01

    Capture model token usage and billable tool metadata reported during the run.

  2. 02

    Apply the rate table recorded for the selected model route or tool.

  3. 03

    Aggregate estimated cost across the run, agent, and owning domain for monitoring.

What you can plan around.

The behaviour you can design against, stated concretely.

Cost attribution links usage to persisted model turns and tool calls.

Domain ownership comes from the tenant-scoped agent and session records.

Missing rate or usage data remains identifiable instead of being presented as a precise zero-cost event.

Complete the operating path

View all capabilities
Run it reliablyProtect downstream systems with a cap

Bound how many turns one agent can execute at once and make overload visible to the caller.

Run it reliablyStop work without corrupting its record

Withdraw unwanted work while preserving the truth about effects already in flight.

Operate and improveOperate from one monitor room

Move from an individual run to fleet health and recurring failure patterns without changing tools.

Bring one real process

See how Yekar.AI fits the way you work.

Start with a job your team already owns, plus the tools and decisions around it.

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