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Two clear balances
OpenClaw
Hermes Agent

Agent service and paid AI usage are tracked separately

Account balance pays for agent setup and renewal. AI balance is used only for selected paid models, images, video, and voice.

$10.00

base monthly price

Per agent

separate free tokens

AI balance

paid models and media only

History

operations and usage in one place

Included with the agent

A dedicated OpenClaw or Hermes Agent that stays online and is managed through the PawClaw dashboard.

  • 24/7 operation
  • Channels and tasks
  • Regular platform backups

Free model

Every agent receives its own monthly free-token quota. No personal API key is required to start.

  • PawClaw Free
  • Separate agent quota
  • Usage visible in the dashboard

Paid models and media

They use a separate AI balance and connect only when you choose them. Cost depends on the model and actual work performed.

  • Text models
  • Images and video
  • Transcription and speech

Optional resources

When the agent needs faster file processing, more concurrent work, or more storage, available resources can be increased after you review the additional price.

  • Exact quote before purchase
  • Capacity check
  • Separate change history

In-depth guide

How this works in real life

A practical look at capabilities, setup, and operational boundaries.

What determines AI agent cost

The total cost has two parts: the agent service and usage of the selected AI model. The agent price is visible before confirmation, while paid-model requests are tracked separately by actual usage.

This separates the fixed agent price from variable AI expenses. You can validate a workflow with an accessible model, then move to a stronger option when reasoning quality matters more than speed or cost.

  • Agent price shown in advance
  • AI usage tracked separately
  • Model selected for the workload
  • No separate VPS purchase required

How to keep spending under control

Estimate task frequency, input size, and expected output length before scheduling a workflow. A short daily briefing and a deep report based on dozens of sources create very different model workloads.

Start with a test process and observe actual usage. Review operation history, remove unused schedules, and reserve advanced models for work where they produce a meaningful quality improvement.

  • Validate on a small workload
  • Review usage history
  • Remove outdated schedules
  • Match model strength to task complexity

FAQ

Frequently asked questions

Do I need to configure a server myself?

No. PawClaw.ai creates an isolated environment, launches the agent, and provides management from one dashboard.

Can I start without my own API key?

Yes. PawClaw connects a free model and allocates free tokens separately to each agent, so no custom key is required to start.