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View Cost Breakdown

See detailed cost analysis by model and provider

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Optimization Tips

Get AI-powered recommendations to reduce costs

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Search Events

Find specific API calls and errors

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AI-Powered Insight

You could save $342/month by routing 40% of GPT-4 requests to GPT-4-turbo for non-critical tasks

Total Spend (24h) ↓ 12%
$0.00
$2,430 this month • On track for budget
API Calls ↑ 23%
0
142K this month • Peak: 2.3K/hr
Avg Latency ↓ 8%
0ms
p95: 450ms • p99: 890ms
Token Efficiency ↑ 15%
87%
12% waste detected • Savings potential: $45/day
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Cost Optimization Recommendations

AI-powered insights to reduce your infrastructure costs

Switch to GPT-4 Turbo for batch processing

65% of your GPT-4 calls are for background tasks with no latency requirements. Switching to GPT-4 Turbo would save significantly with minimal quality impact.

Save $240/mo

Reduce prompt context by 40%

Analysis shows 3.2K tokens per request are redundant context. Implementing smart context windowing could reduce token usage without affecting quality.

Save $180/mo

Implement response caching

28% of your requests are identical. Adding a 5-minute cache layer would eliminate redundant API calls and improve response times.

Save $95/mo

Cost Over Time

Model Usage Distribution

Latency Distribution

Token Usage by Provider