Silent model drift
The same model name/endpoint quietly behaving differently, no version pin, no changelog; your working prompt degrades and you're never told.
Provider runtime governance
A governance layer between you and your model providers. We catch the silent model drift, downtime, and broken outputs that erode what you're paying for — and make provider reliability something both sides can verify.
Early-stage and greenfield - this previews the concept, not a shipping product.
Gateway verdict
In-path signals plus benchmark drift
Real traffic
In-path result
Payment
Only if reliable
Drift
checked
Availability
monitored
Billing
audited
Latency
tracked
Problem
Model infrastructure is bought like a meter, but relied on like a contract. The missing piece is objective accountability for provider-level runtime failures.
The same model name/endpoint quietly behaving differently, no version pin, no changelog; your working prompt degrades and you're never told.
Refused, empty, or truncated outputs can still land on your bill, and silent prompt-cache misses can quietly charge full price — and today there's no independent count to check the tokens you're billed for.
Rate limits, "overloaded" errors, capacity denials, worst exactly when you need it; weak-to-no uptime guarantees on standard tiers.
Time-to-first-token and throughput slipping silently under load; brutal for anything real-time.
Over-refusal of benign requests. Safety tuning tightens and shifts across updates, so legitimate business, coding, or security tasks start getting refused — with no warning.
Also measured: broken structured output — invalid JSON, malformed tool calls, truncation.
Businesses should be able to predict what they are buying into. Individuals should be able to know what they are getting. Today the market pays for tokens consumed, not outcomes delivered.
How it works
The gateway sits between the buyer and the provider, continuously measuring live runtime reliability and turning provider failures into what you actually pay.
Every request flows through the gateway, so we measure latency, availability, refusals, structured-output validity, and the tokens you're billed for — on your actual outputs, not synthetic tests.
We run our own standardized benchmark against each provider to catch silent model drift against a fixed reference, so a regression in the same model name or endpoint surfaces immediately.
Put a dollar figure on what drift, downtime, and broken outputs are costing you today — the money you recover by paying only for output that holds up.
Objectively failed units — provider errors, refused or truncated outputs you were charged for, cache misses billed at full price — aren't billed. We meter them in-path, so you pay only for output that holds up and your cost per reliable answer drops.
What we measure
Objective signals with clear verdicts — measured at the provider, not guessed at the output.
Check each provider against our standardized benchmark to catch silent changes in the same model name or endpoint.
Independently count tokens in-path, flag billable anomalies like charges for empty or refused outputs, and catch silent prompt-cache misses that can inflate your per-token bill.
Track provider-caused rate limits, overloaded errors, capacity denials, and downtime as measured failures.
Measure time-to-first-token and throughput under load so degradation is caught as a provider-side runtime signal.
Track how often benign requests get refused, and how that rate shifts across provider updates.
Also measured: structured-output reliability — invalid JSON, malformed tool calls, truncation.
Why us
Most tools optimize routing, cost visibility, or downstream billing. LLM governance gateway measures provider-side runtime failures, prices the loss, and ties what you pay to reliability.
Route requests and track cost/latency; no accountability, and they never touch what you pay.
Show you error rates; they don't price the loss or tie it to what you pay.
Measures the failures, prices the loss, and ties payment to reliable output. The provider-accountability layer no one else offers.
Direction
The product shape is provider-level runtime governance for drift, availability, latency, refusal creep, and billing & cache integrity.
The bottom line: you recover what unreliability has been quietly costing you — your cost per reliable answer goes down even as the sticker price goes up.