Agent Status

Why not Agent Status?

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Non-Deterministic Validation

Infrastructure-Grade Monitoring

Global Edge Probing

Outside-In Truth

Semantic Verification

Real Device Networks

Threshold Verdicts

Purpose-Built for Agents

Non-Deterministic by Nature

Traditional software gives the same output for the same input. AI agents don't. The same prompt can produce different responses across runs, models, and even time of day. This isn't a bug. It's how LLMs work. You need continuous validation that accounts for variance while still catching genuine failures.

AI Agents Are Becoming Infrastructure

A year ago, agents were experiments. Now they're handling customer support, processing orders, managing workflows. When your agent goes down, it's not a demo failing. It's revenue stopping, customers waiting, SLAs breaching.

"Works On My Machine" Doesn't Scale

You test locally. You test in staging. You deploy. And then a user in Singapore gets timeouts while your US dashboard shows green. The only way to know if it works is to test from where your users actually are.

Outside-In Is the Only Truth

Internal metrics tell you what your systems think is happening. User-side validation tells you what users actually experience. Your agent can report healthy internally while a CDN misconfiguration blocks half your traffic.

Semantic Validation

Your agent can return HTTP 200 while saying "I don't know" to every question. Traditional monitoring sees healthy. Your users see broken. Agent Status sends deterministic prompts with known-correct answers.

Real Devices, Real Networks

We test from actual laptops and desktops on residential ISPs, not from AWS data centers. Your users aren't in us-east-1. Neither are our tests. That catches routing issues, ISP problems, and geo-blocks on the inbound path — whether users can reach the agent. It does not change where the agent's tools egress from.

Threshold-Based Verdicts

Networks are noisy. One failed request doesn't mean your agent is down. Agent Status aggregates across multiple tests and uses configurable thresholds. DOWN means sustained failure, not a transient blip.

Built for Agents

Traditional APM was designed for deterministic APIs. Agent Status understands that agent responses are probabilistic, that TTFB matters for streaming, that "correct format but wrong answer" is a failure mode. We're purpose-built for AI agents.