Live demo · sample data

A fictional org’s spend, reconciled to what actually shipped.

The full spend-review loop on sample data: what merged, what is in flight, and what never tied to a PR. Review and scan actions are disabled here. Your own workspace shows your real org.

Org overview

Capture 0/5 · 5 awaiting

AI coding spend review

Shipped, in-flight, and unmatched spend across your org.

5 expected engineers have never sent capture (joined over a week ago).

Captured AI spend

$48,200

6138.5M tokens · list-price estimate

Shipped: $28,400
In flight: $7,100
Didn’t tie to a PR: $12,700

Shipped

$28,400

59% of captured spend · 483 PRs

Didn’t ship

$9,800

Past attribution window: review

Where the spend went

Open a team or engineer for diagnostics.

Merged PRs

59%

3616.9M tokens · $28,400

Tied to merged PRs

In flight

15%

904.2M tokens · $7,100

Open PR or inside attribution window

Didn’t tie to a PR

26%

1617.4M tokens · $12,700

No matching PR20% · $9,800
Non-PR work4% · $1,800
No git context0% · $200
Other repo2% · $900

Cache reuse

Share of input-side tokens served cheaply from cache, not re-paid as fresh input or writes.

37%

Reads per write

0.8×

Cache writes

$26,984

Cached vs. fresh

3797.6M / 6406.1M

Opus 4.829%$24,151

Haiku 4.554%$318

Sonnet 4.656%$2,515

Cache churn.Context is being re-paid rather than reused. Check for long idle gaps (>5 min expires the cache), volatile context, or heavy MCP payloads.

Spend over time

$48,041Last 30 days

Daily estimated + metered spend by model, with shipped spend.

Period navigatorHover to inspect · click to pin

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Arrow keys supported

Peak day: $3,192Jun 22
Daily average: $1,601
Shipped in range: $29,04860%

Spend ($, left)Yield (% shipped, right)

Composition

Spend by model

Select a Claude model to inspect its spend, share and shipped outcome.

$48,200

captured spend

Selected model

Opus 4.8

$42,091

Captured share: 87%
Tokens: 5456.4M
Shipped: 49%

Shipped % is the share tied to merged PRs.

Review queue

Actionable insights

Unshipped spend, spikes, and cap risk. 3 open flags.

Reviewed

45%

Actioned

36%

Legit non-PR

18%

False-pos / attribution

Budget anomalyPlatform$35,462
Platform spend is 12.7× its baseline
Platform: $35,478 in the last 30 days vs ~$2,801 per 30-day baseline. Check whether shipped output rose with the spend.
Evidence and scope
AI spend tied to merged PRs (PR-only scope) · billing: metered API · 30-day attribution window · ≥3 contributors (k-anonymous) · metadata only: no prompts, code, or transcripts stored
Period 5/16/2026 – 6/20/2026 · last scan 6/20/2026
74% of captured spend this period ($35,462)
Set a monthly budget in Settings to see this as a share of budget.
Cache hygieneRecurringPlatform$21,283
$21,267 on cache writes at 19% reuse (Platform)
Platform reused only 19% of its input-side tokens from cache in the last 30 days while spending $21,267 writing context into cache. Low reuse means context is re-paid instead of amortized. Check for long idle gaps (>5 min expires the cache), volatile context, or heavy MCP payloads.
Evidence and scope
AI spend tied to merged PRs (PR-only scope) · billing: metered API · 30-day attribution window · ≥3 contributors (k-anonymous) · metadata only: no prompts, code, or transcripts stored
Period 5/9/2026 – 6/20/2026 · last scan 6/20/2026
44% of captured spend this period ($21,283)
Set a monthly budget in Settings to see this as a share of budget.
Recurring: the same flag was raised in an earlier period.
Model right-sizingRecurringPlatform$12,810
$12,857 model right-sizing headroom (Platform)
Platform ran $31,997 on flagship models in the last 30 days; the same usage at Sonnet rates would be ~$19,237. Review whether these tasks needed the flagship model.
Evidence and scope
AI spend tied to merged PRs (PR-only scope) · billing: metered API · 30-day attribution window · ≥3 contributors (k-anonymous) · metadata only: no prompts, code, or transcripts stored
Period 5/9/2026 – 6/20/2026 · last scan 6/20/2026
27% of captured spend this period ($12,810)
Set a monthly budget in Settings to see this as a share of budget.
Recurring: the same flag was raised in an earlier period.

Reviewed history11

Unshipped: review$640 unshipped to review$6404/20/2026
Outcome: Action taken
Budget anomalyPlatform spend is 2.1× its baseline$4305/23/2026
Outcome: False positive
Budget anomalyBilling spend is 2.4× its baseline$3804/24/2026
Outcome: Expected adoption spike
Unshipped: review$260 unshipped to review$2606/9/2026
Outcome: Action taken
Model right-sizing$210 model right-sizing headroom (Platform)$2105/1/2026
Outcome: Action taken
Cache hygiene$190 on cache writes at 22% reuse (Platform)$1905/13/2026
Outcome: Action taken
Unshipped: review$150 unshipped to review$1505/7/2026
Outcome: Legitimate research / exploration
Unshipped: review$120 unshipped to review$1205/18/2026
Outcome: Incident / support / debugging
Unshipped: review$110 unshipped to review$1106/1/2026
Outcome: Attribution issue
Model right-sizing$95 model right-sizing headroom (Billing)$95.005/28/2026
Outcome: Action taken
Cache hygiene$85 on cache writes at 31% reuse (Billing)$85.006/10/2026
Outcome: Legitimate research / exploration

Teams

2 teams

Team	Engineers	Tokens	Avg tokens/PR	Est. spend	Shipped %
Platform	3	4137.4M	6.8M	$43,866	48%
Billing	2	2001.1M	6.6M	$4,334	67%

Shipped % = share of tokens tied to merged PRs.