Use the Right Model at the Right Price
ClawHQ analyzes your model usage and recommends cheaper alternatives that maintain quality — saving 30-60% on API costs.
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See Your Agents in Action
Simple Setup
Three Steps to Automation
Track Model Usage
ClawHQ automatically tracks which models each agent uses, how often, and at what cost per task type.
Get Recommendations
AI-powered analysis identifies tasks where cheaper models perform equally well. See projected savings before switching.
Implement & Measure
Switch models and track the impact. ClawHQ shows you before/after cost comparisons in real-time.
Impact
Real Results, Real Fast
Benefits
Why Teams Choose ClawHQ
Smart Recommendations
ClawHQ identifies which tasks don't need your most expensive model. "Use GPT-3.5 for classification, save $400/mo."
30-60% Cost Reduction
Most teams overspend on models. ClawHQ typically finds 30-60% savings by matching model capability to task needs.
A/B Cost Comparison
Compare model costs side-by-side. See cost per task, cost per token, and total spend per model.
Usage Patterns
Understand how your agents use models: which prompts are expensive, which tasks are cheap, where the outliers are.
Task-Level Insights
Break down costs by task type. Summarization might cost $0.02/task while research costs $0.50/task.
Continuous Optimization
As new models launch and prices change, ClawHQ updates recommendations automatically.
Case Study
How a team cut their API bill by 45% without losing quality
A dev tools company was spending $12K/mo on GPT-4 for all agent tasks. ClawHQ's analysis showed that 60% of their tasks (classification, extraction, formatting) worked equally well with Claude Haiku at 1/10th the price. They kept GPT-4 for complex reasoning and switched everything else — saving $5,400/mo.
Your Fleet
Recommended Agent Stack
Frequently Asked
How does ClawHQ know which model to recommend?+
ClawHQ analyzes your task patterns — input/output complexity, token counts, and task types — to identify where cheaper models maintain quality.
Will cheaper models reduce quality?+
ClawHQ only recommends model swaps for tasks where the cheaper model is known to perform well. Complex reasoning stays on premium models.
How much can I actually save?+
Most teams save 30-60% on their first optimization pass. The exact amount depends on your current model usage mix.
Does this work with any LLM provider?+
Yes. ClawHQ tracks costs across all providers and can recommend models from any provider in your stack.
How long until I see savings?+
Immediately after switching models. ClawHQ shows real-time before/after cost comparisons.
Ready to automate your model cost optimization?
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