VAIL — Agent Assurance Hub

Peace of mind that your agents are working.

Your business now runs on models, APIs, and agents operated by someone else, and changing without notice. The Agent Assurance Hub watches your endpoints continuously from inside your network, confirms they're working the way you need them to, tells you the moment something changes, and what to do next.

In the background, never in the way.

The Agent Assurance Hub is a lightweight service that runs on your terms. It only needs permission to reach the same AI services your company already uses and it does not access sensitive production traffic. Your IP stays yours, guaranteed.

YOUR NETWORK · INSIDE THE FIREWALL Agents & apps harnesses · copilots · pipelines AI Gateway / Router keys · rate limits · cost · egress Agent Assurance Hub identity · stability · consistency · trajectory Your telemetry & SIEM OTel · Prometheus · Splunk · Datadog findings & alerts steer routing & policy steer agents EXTERNAL INFERENCE APIS api.frontier-provider.com closed frontier models api.inference-host.com open-weight models · 3rd-party hosts vendor-saas-ai.com embedded AI in SaaS vendors internal-vllm.corp:8000 self-hosted endpoints, too production traffic test probes · no customer data
Running in minutes
A single container for Docker or Kubernetes, pointed at the services and agents you want watched. Prefer zero upkeep? VAIL runs it for you as a managed service.
Inside your walls
Checks come from your own network, under the security rules you already enforce. Nothing new is exposed to the internet, and no customer data is ever read.
Works with your tools
Findings land in the dashboards and alerting your teams already watch — Datadog, Grafana, Splunk, Slack, PagerDuty — not another console someone has to remember to check.

Four questions, answered around the clock.

For every model, endpoint, and agent on the watchlist, the Hub keeps answering the questions your teams would otherwise have to take on faith — and delivers each answer to the team that needs it.

/ 01 · Identity Security & Compliance

Is it still the model you chose?

Providers can — and do — change what's behind an API without telling anyone. The Hub regularly checks each service and confirms the model answering is the one you approved, whether it's a big-name API, a hosted open model, or AI built into a vendor's product. And when auditors or regulators ask, you have the records to show for it — the kind of evidence frameworks like the EU AI Act expect.

Answers Is this the model we certified? · Which model processed regulated data?
/ 02 · Stability Security & MLOps

Has it changed since you approved it?

Models get updated, downgraded, or replaced behind the same name and URL. The Hub notices — and records exactly when each change happened, so you know which version was serving your customers on any given day, and when it's time to re-test. No more "it feels different lately" with nothing to point to.

Answers Did the endpoint change? · When, and for how long?
/ 03 · Consistency Productivity & Debugging

Is it behaving the way your agents expect?

When an AI workflow starts failing, the first question is always "is it us or them?" The Hub tracks the specific behaviors agents rely on — using tools correctly, returning well-formed responses — so your team can tell in minutes whether a problem lives in your code or on the provider's side, instead of losing days to debugging the wrong thing.

Answers Is the endpoint behaving consistently for agents? · Us or them?
/ 04 · Trajectory Productivity & Optimization

Are your agents still on course?

Agents evolve — their instructions, memory, and tools change over time, and their behavior shifts with them. The Hub keeps a running picture of how each agent is behaving, so a slow drift off course shows up as a trend you can act on early — not a surprise you discover after it's already caused damage.

Answers Are our agents still on course? · What changed their behavior?

Not a replacement for your gateway. The layer it's missing.

If you run OpenRouter, Cloudflare AI Gateway, LiteLLM, or an internal router, keep it — it handles the routing, the keys, and the costs. The Hub answers a different question: can you trust what's on the other end?

AI Gateway / Router
Agent Assurance Hub
Position
In the request path. Every production call flows through it as a proxy.
Off to the side. Runs its own checks on its own schedule. Adds zero delay and zero risk to production.
Sees
Your production prompts, completions, tokens, and spend.
Only its own test traffic. Never your customer data or production logs.
Governs
Routing, failover, API keys, rate limits, cost budgets, egress policy.
Whether the AI itself is what it claims — unchanged, consistent, and on course.
Catches
Outages, quota exhaustion, latency spikes, runaway spend.
Quiet model swaps and downgrades, gradual drift, degrading tool use, agents wandering off course.
Emits
Access logs, usage metrics, billing data.
Plain answers — verified, changed, degraded, drifting — plus alerts and records, delivered into the tools your teams already use.

Run both. The gateway decides where requests go. The Hub proves what's actually there — and tells you the moment that stops being true.

Deploy. Watch. Compare. Alert.

No changes to your applications, nothing to install in your code, no access to production traffic. Every check the Hub runs is kept as a timestamped record you can look back on later.

01
Deploy
Start the Hub inside your network — or let VAIL run it — and list the AI services and agents your business cares about.
02
Watch
The Hub quietly exercises each service on a regular schedule, the same way your own applications would use it.
03
Compare
Every response is compared with how the service behaved when you approved it — built to tolerate normal AI variation without crying wolf.
04
Alert
When something genuinely changes, the right team hears about it in the tools they already use — with a clear recommended next step.
1
Small service to run — or none, if VAIL manages it for you
0
Changes to your apps — nothing installed, no customer traffic touched
4
Questions answered: right model · unchanged · consistent · on course
24/7
Always watching, so your teams don't have to
OpenTelemetry
Metrics and traces via OTLP, tagged per endpoint, model, and stream — drop into Datadog, Grafana, Honeycomb, or any OTel-compatible backend.
Prometheus
A scrape endpoint exposing stability scores, consistency metrics, and trajectory gauges for your existing alerting rules.
Webhooks
Change events and threshold breaches pushed to Slack, PagerDuty, or your incident pipeline the moment they're detected.
SIEM / JSON
Structured, timestamped evidence records for Splunk, Sentinel, or Chronicle — audit-ready and correlated with the rest of your security telemetry.

The same monitoring, running in public right now.

The Hub packages monitoring VAIL already runs at scale. Stability Arena is our public dashboard tracking how stable the major models and providers really are — open it and judge for yourself before any conversation.

Live · Updated hourly

Stability Arena

A continuously updating public view of how models behave across providers — including quiet changes, and the surprising differences between providers serving "the same" model. What the Arena does in public, the Hub does for your services, privately, inside your own network.

Open Stability Arena
Peer-reviewed research

Built on published methods

The Hub's checks aren't a black box either. The methods for verifying model identity and detecting change, and for tracking agent behavior over time, are published, peer-reviewed research — presented at ACM CAIS 2026 and ICML 2026.

Endpoint stability paper Agent trajectories paper

Stop wondering whether your AI changed. Know.

Tell us which models, providers, and agents your business depends on. We'll show you what the Hub would watch from day one — and how the answers show up in your own dashboards.

Nothing to install in your apps. No customer traffic touched. Checks run from inside your own network — or from VAIL's, if you prefer the managed service.