Per-workflow, per-contributor cost attribution with automated change detection and ranked optimization recommendations. Know exactly what is driving your spend — before the invoice arrives.
No credit card required · Read-only GitHub access · 2-minute setup
30-day spend
$4,182
Week over week
−12.4%
Open savings
$640/mo
30-day spend trend
Live run tracking
60s polling
All 3 OS rates
Linux · Win · macOS
Read-only scopes
No source access
Drift detection
Weekly diffs
Dependabot running full test suites
Easy to miss, adds up to roughly $200/month per repo.
Lint jobs on macOS instead of Linux
A 10x price difference for the same task — about $300/month for one workflow.
Workflows running for hours, unnoticed
No alert fires until someone happens to go looking.
Manual cost reports
4-8 hours a month, by hand, every month, forever.
Kaptimus turns raw Actions telemetry into the few signals that actually move your bill.
Per-repository, per-workflow, and per-contributor attribution. Trace every dollar to the run that spent it.
Automated drift detection surfaces new workflows, frequency spikes, and cost regressions the moment they appear.
Actionable fixes ranked by monthly savings — wrong runner OS, excessive bot triggers, high failure rates.
See in-progress runs as they happen. Long-running jobs get flagged with live cost estimates across every OS.
Separate human from automated spend. Catch chatty bots and renovate-style loops quietly burning minutes.
Spot workflows on costlier runners than they need and quantify the savings of switching before you commit.
GitHub billing
Org-level totals only
Per-workflow, with change detection and runaway alerts
DIY scripts
A snapshot the day you run it
Continuous, zero maintenance
LinearB / Jellyfish
$5,000-$50,000/year
$588/year, max
Start free. Upgrade when you outgrow it. Cancel anytime.
10 repositories
Unlimited repositories
Connect a repository in two minutes and see your first cost breakdown today.
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