Observability for AI coding agents.
See every session, every model call, every dollar. By engineer, by repo, by week.
Tracks
Usage view
Engineer activity
Sessions
184
Prompts
1,426
Token usage
2.8M
Signal
The team cut token load after fixing repeated prompts and oversized context.
Problem
You're flying blind on AI spend.
Your team runs hundreds of agent sessions a week. You see the invoice. You don't see which engineers, repos, or workflows drove it, or whether any of it shipped.
Without observability, token spend grows unchecked, context bloats go unnoticed, and nobody can tell efficient work from expensive busywork.
Product
One dashboard. Full visibility.
Track sessions, tokens, and costs across engineers and repos. See which models get used, which workflows burn tokens, and where you can cut spend without cutting output.
- Per-engineer and per-repo cost breakdown
- Model and session-level tracing
- Token optimization that reduces context usage up to 80%
- Works with Claude Code, Codex, Gemini CLI, and any MCP-compatible agent
Total Spend
$2,847
+12%
Sessions
184
+8%
Avg Cost / Session
$15.47
-14%
Token Savings
38%
+5pp
Pricing
Less than what your team wastes in a week.
Solo
$9.99
/month
Usage dashboard, token and context tracking, repo-level visibility.
Engineering Teams
$499.99
/month
Cross-engineer visibility, shared reporting, cost accountability across workflows.