Economic audit for AI agents

Most AI tools show spend. Xerg shows waste.

Run a local audit on OpenClaw logs and get the answer engineering and finance both want: where money is leaking, what to fix first, and what savings to test next.

Join the waitlist for CLI launch news, early team access, and design partner invites.

Find where money leaks

Separate waste from guesses

Turn logs into next actions

Build toward cost per outcome

CLI viewbefore / after

Before: generic spend report

Total spend: $0.0660

Runs analyzed: 8

Top workflow: daily_summary

Top model: anthropic/claude-sonnet-4-5

After: xerg audit

Retry waste: $0.0054

Loop waste: policy_reviewer

Context outlier: daily_summary

First savings test: heartbeat_monitor → Haiku

Potential impact identified: $0.0348

Why now

Most teams can already see spend. The harder problem is knowing what to fix.

Spend dashboards stop at totals

Knowing what you spent is table stakes. It does not tell you which retries, loops, or model choices are leaking money.

Xerg starts locally so the first report is useful before a team has to instrument anything else.

Routers optimize price, not workflow economics

Cheaper routing helps, but it still does not tell you whether the workflow was wasteful, brittle, or worth the spend.

Xerg starts locally so the first report is useful before a team has to instrument anything else.

Xerg turns cost into decisions

It highlights structural waste, surfaces the next savings tests, and creates a path from raw spend to cost per outcome.

Xerg starts locally so the first report is useful before a team has to instrument anything else.

What Xerg is

An economic audit for AI agents that starts with local waste intelligence.

What Xerg does now

Audits OpenClaw logs locally and turns spend into waste findings, opportunities, and prioritized next actions.

Why that is different

Most products stop at tokens, traces, or routing. Xerg shows retry waste, loop waste, context bloat, and downgrade tests.

Where it can go later

Once teams trust the audit, Xerg can grow into cost per outcome, trend analysis, and economic governance.

How it starts

OpenClaw first. Local first. Fix the leak before you build the platform.

Audit. Fix. Re-audit.

Xerg starts with one job: turn local agent logs into a report that tells you more than a spend dashboard can.

CLI-first workflow
# Before
npx audit-tool report

Total spend: $0.0660
Runs analyzed: 8
Top workflow: daily_summary
Top model: Sonnet
# After
npx @xergai/cli audit

Retry waste: $0.0054
Loop waste: policy_reviewer
Downgrade test: heartbeat_monitor
Potential impact: $0.0348

Get on the waitlist

Join for launch updates, early access to the CLI, and design partner invites for the first workflows where economic signal is clean.

Join the waitlist for CLI launch news, early team access, and design partner invites.