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
β42.55
observed β reconciled direct API β
β34.95
unattributed β outside both β
β22.49
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 |
|---|---|---|---|---|---|
| 10-20 00:05 | Ava Brooks | gpt-premium | codex | 815,723 | β4.08 |
| 10-20 00:05 | Henry Johnson | gpt-efficient | codex | 40,535 | β0.02 |
| 10-20 00:05 | Mason Johnson | gpt-premium | codex | 630,319 | β3.15 |
| 10-20 00:05 | Ava Coleman | gpt-efficient | gpt | 810,775 | β0.32 |
| 10-20 00:05 | Amelia Griffin | gpt-premium | codex | 72,696 | β0.36 |
| 10-20 00:05 | Ava Hughes | gpt-efficient | gpt | 39,278 | β0.02 |
| 10-20 00:05 | Tyler Ross | gpt-premium | agent | 66,016 | β0.33 |
| 10-20 00:05 | Amelia Ward | gpt-efficient | gpt | 21,255 | β0.01 |
| 10-20 00:05 | Amelia Griffin | gpt-efficient | agent | 26,164 | β0.01 |
| 10-20 00:05 | Grace Foster | gpt-premium | gpt | 432,900 | β2.16 |
| 10-20 00:05 | Zoe Cooper | gpt-premium | gpt | 278,767 | β1.39 |
| 10-20 00:05 | Chloe Bennett | gpt-efficient | codex | 31,655 | β0.01 |
| 10-20 00:05 | Michael Reed | gpt-efficient | gpt | 16,853 | β0.01 |
| 10-20 00:05 | Grace Sullivan | gpt-premium | agent | 403,461 | β2.02 |
| 10-20 00:05 | Grace Foster | gpt-premium | codex | 558,950 | β2.79 |
| 10-20 00:05 | Noah Ward | gpt-premium | gpt | 311,711 | β1.56 |
| 10-20 00:05 | Nathan Coleman | gpt-premium | codex | 73,928 | β0.37 |
| 10-20 00:05 | Henry Johnson | gpt-efficient | gpt | 82,689 | β0.03 |
| 10-20 00:05 | Ryan Ward | gpt-efficient | gpt | 61,944 | β0.02 |
| 10-20 00:05 | Emily Wilson | gpt-efficient | codex | 7,911 | β0 |
| 10-20 00:05 | Ava Coleman | gpt-premium | agent | 806,991 | β4.03 |
| 10-20 00:05 | Emily Foster | gpt-premium | gpt | 743,759 | β3.72 |
| 10-20 00:05 | Zoe Cooper | gpt-premium | codex | 434,641 | β2.17 |
| 10-20 00:05 | Harper Parker | gpt-premium | gpt | 762,748 | β3.81 |
| 10-20 00:05 | Logan Davis | gpt-efficient | gpt | 75,413 | β0.03 |
| 10-20 00:05 | Zoe Hughes | gpt-efficient | gpt | 20,024 | β0.01 |
| 10-20 00:05 | Harper Parker | gpt-premium | codex | 520,951 | β2.6 |
| 10-20 00:05 | Sophia Bennett | gpt-efficient | agent | 28,644 | β0.01 |
| 10-20 00:05 | Nathan Griffin | gpt-efficient | codex | 52,401 | β0.02 |
| 10-20 00:05 | Amelia Miller | gpt-premium | agent | 832,414 | β4.16 |
| 10-20 00:05 | Ava Coleman | gpt-premium | gpt | 157,326 | β0.79 |
| 10-20 00:05 | Nathan Hayes | gpt-efficient | gpt | 14,044 | β0.01 |
| 10-20 00:05 | Emily Wilson | gpt-efficient | codex | 23,699 | β0.01 |
| 10-19 00:05 | Henry Foster | gpt-efficient | gpt | 13,560 | β0.01 |
| 10-19 00:05 | Noah Ward | gpt-efficient | gpt | 835,187 | β0.33 |
| 10-19 00:05 | Harper Parker | gpt-premium | gpt | 881,416 | β4.41 |
| 10-19 00:05 | Emma Reed | gpt-premium | codex | 58,371 | β0.29 |
| 10-19 00:05 | Amelia Griffin | gpt-efficient | codex | 23,931 | β0.01 |
| 10-19 00:05 | Henry Brooks | gpt-efficient | codex | 46,446 | β0.02 |
| 10-19 00:05 | Noah Ward | gpt-premium | gpt | 398,163 | β1.99 |