πŸ”Ž Live demo of the real Allotment AI console β€” read-only, a sample company. Hover any β“˜ to learn a concept. Install your own free instance β†’
Lab console
AllOpenAIAnthropic (Claude)● real data
Org AdminAcme Corp (lab) Β· all users
β–¦Overviewβ—‰My WalletοΌ„Savings & ROIβ–€Seats & Licenses–Auto-sweep⇄Providers⚿Gateway Keys◍Credit Poolsβœ‰Requests‡Allocation Tree​Auto-allocation✦Insightsβš–Reconcile≣Audit logπŸ”‘Licenseβš™Settings
Read-only demo β€” the admin view of Acme Corp, a synthetic company. Nothing here is real and nothing you do is saved. Hover any β“˜ to learn a concept. In a real install everyone signs in with company SSO and sees only their own view. Install your free instance β†’
Reconcile
Provider usage matched to entitlements β€” idempotent.
Usage records
525
reconciled
Unmatched
0
all attributed
Drift
OK βœ“
materialized == Ξ£ entries
Reconciled spend
β—ˆ671.31
this run
Unmatched provider identities keys and aliases nobody has claimed
In clearing is read from the clearing account itself, so a service-pool key that was billed to its pool shows β—ˆ0 there however much it spent. Matching writes ONE new adjustment that moves the parked spend from clearing onto that person's grants and wallet. Nothing already in the ledger is edited or reversed β€” and matching is one-way, so identify the person before you confirm.
Provider identityProviderRecordsIn clearingRecorded spend
Every provider identity is matched to a person β€” nothing is parked in clearing.
Coverage β€” the three buckets, never merged β“˜
hard β€” gateway-routed β“˜
β—ˆ95.52
observed β€” reconciled direct API β“˜
β—ˆ54.8
unattributed β€” outside both β“˜
β—ˆ39.68
Both sides cover this reset cycle β€” spend since the cycle started against what you funded for it. What is outside the gateway is invisible to per-user attribution. The denominator is your entered invoice total, not a figure derived from usage.
⚠
Coverage is below 70%. Per-user claims apply only to the covered fraction: this install governs your gateway-routed AI and reconciles the rest β€” it does not attribute every dollar to a person. Seat products are per-team by design (no provider exposes per-user seat usage). Raise coverage by routing more traffic through the gateway.
Recent usage records
WhenUserModelSurfaceTokensCost
10-20 00:05Mason Johnsonclaude-efficientgpt85,831β—ˆ0.04
10-20 00:05Michael Wardclaude-premiumgpt501,960β—ˆ3.01
10-20 00:05Daniel Fosterclaude-efficientcodex52,529β—ˆ0.03
10-20 00:05Rachel Reedclaude-premiumgpt879,518β—ˆ5.28
10-20 00:05Henry Griffinclaude-efficientcodex26,185β—ˆ0.01
10-20 00:05Maya Reedclaude-premiumgpt628,600β—ˆ3.77
10-20 00:05Daniel Fosterclaude-premiumcodex86,328β—ˆ0.52
10-20 00:05Rachel Millerclaude-efficientgpt56,545β—ˆ0.03
10-20 00:05Chloe Hughesclaude-premiumgpt74,304β—ˆ0.45
10-20 00:05Rachel Millerclaude-premiumcodex21,648β—ˆ0.13
10-20 00:05Emily Wilsonclaude-premiumgpt56,537β—ˆ0.34
10-20 00:05Emily Carterclaude-premiumgpt433,698β—ˆ2.6
10-20 00:05Tyler Millerclaude-premiumcodex44,494β—ˆ0.27
10-20 00:05Michael Wardclaude-premiumcodex741,165β—ˆ4.45
10-20 00:05Michael Griffinclaude-premiumgpt566,535β—ˆ3.4
10-20 00:05Mia Morganclaude-premiumgpt14,547β—ˆ0.09
10-20 00:05Harper Griffinclaude-premiumgpt47,810β—ˆ0.29
10-20 00:05Henry Brooksclaude-premiumgpt51,380β—ˆ0.31
10-20 00:05Mason Johnsongpt-premiumcodex630,319β—ˆ3.15
10-20 00:05Ava Colemangpt-efficientgpt810,775β—ˆ0.32
10-20 00:05Ava Brooksgpt-premiumcodex815,723β—ˆ4.08
10-20 00:05Henry Johnsongpt-efficientcodex40,535β—ˆ0.02
10-20 00:05Grace Sullivangpt-premiumagent403,461β—ˆ2.02
10-20 00:05Michael Reedgpt-efficientgpt16,853β—ˆ0.01
10-20 00:05Zoe Coopergpt-premiumgpt278,767β—ˆ1.39
10-20 00:05Chloe Bennettgpt-efficientcodex31,655β—ˆ0.01
10-20 00:05Tyler Rossgpt-premiumagent66,016β—ˆ0.33
10-20 00:05Nathan Colemangpt-premiumcodex73,928β—ˆ0.37
10-20 00:05Noah Wardgpt-premiumgpt311,711β—ˆ1.56
10-20 00:05Ava Colemangpt-premiumagent806,991β—ˆ4.03
10-20 00:05Grace Fostergpt-premiumgpt432,900β—ˆ2.16
10-20 00:05Emily Wilsongpt-efficientcodex7,911β—ˆ0
10-20 00:05Emily Fostergpt-premiumgpt743,759β—ˆ3.72
10-20 00:05Henry Johnsongpt-efficientgpt82,689β—ˆ0.03
10-20 00:05Ryan Wardgpt-efficientgpt61,944β—ˆ0.02
10-20 00:05Grace Fostergpt-premiumcodex558,950β—ˆ2.79
10-20 00:05Ava Hughesgpt-efficientgpt39,278β—ˆ0.02
10-20 00:05Amelia Griffingpt-efficientagent26,164β—ˆ0.01
10-20 00:05Amelia Griffingpt-premiumcodex72,696β—ˆ0.36
10-20 00:05Amelia Wardgpt-efficientgpt21,255β—ˆ0.01