SupernovaAgentic Workflow Analysis and Optimization
SummarySpend, savings, accuracy, and core chartsCostSpend reporting and savings opportunitiesAccuracyOutcome coverage and improvement signals

Monthly spend · projected to 996 sessions

$17.6/mo

3.8M tokens · ~3.8K per session

Input · 802K (21%)Output · 3M (79%)

Total savings available

$11.3/mo

~64% reduction · 25 opportunities

Workflows affected5
Highest-impact fix$0.49/mo
View cost details

Observed across 300 analyzed sessions

56.7% success

100% coverage · avg reward 0.6 / 1.0

Pass · 170 (57%)Fail · 130 (43%)

Improvement opportunities

+15.2pp

25 signals · 5 workflows

High-confidence fixes15
Target success estimate~71.9%
View performance details

All workflows

Token and spend trend

19 hour buckets
Input tokensOutput tokens

Model mix

Tokens and spend by model

6 models · all workflows

Tokens by model

input + output
Claude Opus 4.5654.2K tokens
1227 calls30.7% of total
gemini-3-pro-preview574.6K tokens
1508 calls27% of total
GPT-5.2420.6K tokens
1168 calls19.8% of total
Kimi-K2384.3K tokens
1232 calls18.1% of total
GPT-5.1-CODEX70.7K tokens
216 calls3.3% of total
Qwen3-Coder24.3K tokens
89 calls1.1% of total

Spend by model

estimated cost
Claude Opus 4.5$12.9
71.5% of total
GPT-5.2$3.39
18.9% of total
gemini-3-pro-preview$0.67
3.7% of total
Kimi-K2$0.59
3.3% of total
GPT-5.1-CODEX$0.46
2.5% of total
Qwen3-Coder$0.01
0.1% of total