Reconcile
Provider usage matched to entitlements β idempotent.
Usage records
321
reconciled
Unmatched
0
all attributed
Drift
OK β
materialized == Ξ£ entries
Reconciled spend
β380.37
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 β0 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 identity | Provider | Records | In clearing | Recorded 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
β77.97
observed β reconciled direct API β
β59.18
unattributed β outside both β
β32.85
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.
β
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
| When | User | Model | Surface | Tokens | Cost |
|---|---|---|---|---|---|
| 09-10 00:05 | Amelia Ward | gpt-efficient | gpt | 21,255 | β0.01 |
| 09-10 00:05 | Ava Brooks | gpt-premium | codex | 815,723 | β4.08 |
| 09-10 00:05 | Ava Coleman | gpt-efficient | gpt | 810,775 | β0.32 |
| 09-10 00:05 | Henry Johnson | gpt-efficient | codex | 40,535 | β0.02 |
| 09-10 00:05 | Emily Wilson | gpt-efficient | codex | 7,911 | β0 |
| 09-10 00:05 | Mason Johnson | gpt-premium | codex | 630,319 | β3.15 |
| 09-10 00:05 | Grace Sullivan | gpt-premium | agent | 403,461 | β2.02 |
| 09-10 00:05 | Grace Foster | gpt-premium | codex | 558,950 | β2.79 |
| 09-10 00:05 | Ava Hughes | gpt-efficient | gpt | 39,278 | β0.02 |
| 09-10 00:05 | Ava Coleman | gpt-premium | agent | 806,991 | β4.03 |
| 09-10 00:05 | Noah Ward | gpt-premium | gpt | 311,711 | β1.56 |
| 09-10 00:05 | Harper Parker | gpt-premium | gpt | 762,748 | β3.81 |
| 09-10 00:05 | Nathan Coleman | gpt-premium | codex | 73,928 | β0.37 |
| 09-10 00:05 | Zoe Hughes | gpt-efficient | gpt | 20,024 | β0.01 |
| 09-10 00:05 | Logan Davis | gpt-efficient | gpt | 75,413 | β0.03 |
| 09-10 00:05 | Emily Foster | gpt-premium | gpt | 743,759 | β3.72 |
| 09-10 00:05 | Zoe Cooper | gpt-premium | gpt | 278,767 | β1.39 |
| 09-10 00:05 | Chloe Bennett | gpt-efficient | codex | 31,655 | β0.01 |
| 09-10 00:05 | Tyler Ross | gpt-premium | agent | 66,016 | β0.33 |
| 09-10 00:05 | Henry Johnson | gpt-efficient | gpt | 82,689 | β0.03 |
| 09-10 00:05 | Grace Foster | gpt-premium | gpt | 432,900 | β2.16 |
| 09-10 00:05 | Harper Parker | gpt-premium | codex | 520,951 | β2.6 |
| 09-10 00:05 | Amelia Griffin | gpt-premium | codex | 72,696 | β0.36 |
| 09-10 00:05 | Michael Reed | gpt-efficient | gpt | 16,853 | β0.01 |
| 09-10 00:05 | Ryan Ward | gpt-efficient | gpt | 61,944 | β0.02 |
| 09-10 00:05 | Amelia Griffin | gpt-efficient | agent | 26,164 | β0.01 |
| 09-10 00:05 | Sophia Bennett | gpt-efficient | agent | 28,644 | β0.01 |
| 09-10 00:05 | Amelia Miller | gpt-premium | agent | 832,414 | β4.16 |
| 09-10 00:05 | Emily Wilson | gpt-efficient | codex | 23,699 | β0.01 |
| 09-10 00:05 | Nathan Griffin | gpt-efficient | codex | 52,401 | β0.02 |
| 09-10 00:05 | Ava Coleman | gpt-premium | gpt | 157,326 | β0.79 |
| 09-10 00:05 | Nathan Hayes | gpt-efficient | gpt | 14,044 | β0.01 |
| 09-10 00:05 | Zoe Cooper | gpt-premium | codex | 434,641 | β2.17 |
| 09-09 00:05 | Harper Parker | gpt-premium | gpt | 881,416 | β4.41 |
| 09-09 00:05 | Noah Ward | gpt-efficient | gpt | 835,187 | β0.33 |
| 09-09 00:05 | Noah Ward | gpt-premium | gpt | 398,163 | β1.99 |
| 09-09 00:05 | Henry Foster | gpt-efficient | gpt | 13,560 | β0.01 |
| 09-09 00:05 | Emma Reed | gpt-premium | codex | 58,371 | β0.29 |
| 09-09 00:05 | Amelia Griffin | gpt-efficient | codex | 23,931 | β0.01 |
| 09-09 00:05 | Logan Davis | gpt-efficient | codex | 11,122 | β0 |