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Live Operational Data — Not a Simulation

Governance Ledger

Every model call our own AI infrastructure makes is logged, costed, budget-capped, and attributed — automatically, as a byproduct of how it routes work. This is a real excerpt from that ledger.

Spend vs. cap

$0.000958

of $30.00 · 30-day rolling window

Calls logged

17

unsampled — every call, not a spot check

Backends in rotation

3

local free-tier → Google → OpenRouter, by policy

Paid vs. free-tier

2 / 17

88% of calls settled at $0 before touching billed credit

Per-call ledger

What was requested, what actually served it, what it cost, and which governance function it evidences. Nothing here was written for this page.

TimestampRequested → servedTokens in/outCostPoolQualityEvidences
Jul 17 16:54:27gemini-flashgemini-3-flash-preview29 / 6$0.000002free-tier
MAP
Jul 17 16:54:37glm-5.2z-ai/glm-5.243 / 150$0.000490OpenRouter
MAPMANAGE
Jul 17 17:20:09glm-flashqwen/qwen3-8b14 / 30$0.000000free-tier
MAP
Jul 17 17:20:46glm-flashqwen/qwen3-8b14 / 400$0.000000free-tier
MAP
Jul 17 17:20:49gemini-flashgemini-3-flash-preview8 / 20$0.000003free-tier
MAP
Jul 17 17:21:18glm-flashqwen/qwen3-8b14 / 400$0.000000free-tier
MAP
Jul 17 17:21:20gemini-flashgemini-3-flash-preview8 / 20$0.000003free-tier
MAP
Jul 17 17:21:45glm-flashqwen/qwen3-8b18 / 13$0.000000free-tier
MAP
Jul 17 17:21:48gemini-flashgemini-3-flash-preview8 / 1$0.000000free-tier
MAP
Jul 17 17:21:52glm-5.2z-ai/glm-5.219 / 79$0.000255OpenRouter
MAPMANAGE
Jul 17 17:54:32glm-flashqwen/qwen3-8b17 / 12$0.000000free-tier
MAP
Jul 22 22:39:58glm-flashqwen/qwen3-8b19 / 6$0.000000free-tier
MAP
Jul 24 12:57:27glm-flashqwen/qwen3-8b21 / 7$0.000000free-tier
MAP
Jul 25 11:15:59glm-flashqwen/qwen3-8b17 / 12$0.000000free-tier
MAP
Jul 25 14:07:30glm-flashqwen/qwen3-8b18 / 7$0.000000free-tier0.90
MAPMEASURE
Jul 25 15:14:39glm-flashqwen/qwen3-8b19 / 8$0.000000free-tier
MAP
Jul 25 15:34:07glm-flashqwen/qwen3-8b19 / 6$0.000000free-tier
MAP

Live gateway snapshot

Checked directly against the gateway's own status tool on Jul 27, 2026 — a separate, fresher check than the ledger rows above, not a live-refreshing counter on this page.

Monthly budget cap

$30.00

hard ceiling, shared across every machine running this infrastructure

Spent this window

$0.0007

0.002% of cap — window opened Jul 17, 2026

Per-request ceiling

$1.00

reserved and checked before any single call goes out

Backend health

3 / 3

local T0, Google, and OpenRouter all reachable at last check

What this satisfies

Mapped to the NIST AI RMF's four functions — the framework this ledger was built against, not retrofitted to.

GOVERN

A spend policy — $30 per 30-day window, shared across every machine running this infrastructure — set once and enforced automatically on every call.

policy: budget.json

MAP

Every call records what was requested and what actually served it. No AI action happens without a named model and a named route.

field: model → served_model

MEASURE

Token volume and cost are recorded on every call; response quality is scored and attached where evaluated.

field: in / out / cost / quality

MANAGE

Spend against paid credit is checked and reserved before the call goes out — the system can't overspend the cap, because it never sends a request that would.

function: budget reserve-and-charge

This is the pattern we build into client systems: every AI action logged, budgeted, and attributable — applied to a governed write-path into your ERP, or packaged as evidence for an insurance renewal, instead of a general-purpose AI gateway.

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