Your AI agents misbehave
quietly.

A web service crashes loud: 500s, paging, customer screams. An AI agent rarely does. It keeps returning something, usually plausible, sometimes wrong, always billable. AgentPing watches the agent itself.

the silent leak

Token spend, 4x in a week.

One retry loop, one agent that starts pulling the full transcript instead of a summary. You see it when the invoice lands, at $8,400 on the wrong cost centre.

the missed cron

Three weeks of dead silence.

Your nightly summarizer stopped firing after a deploy. Nothing crashed, nothing paged, and no one looked at the empty table until a customer asked.

the drift

Quality slid 14%. No alert fired.

A prompt change, a model upgrade, a temperature tweak. The agent still returns, the answers are subtly worse, and support tickets tick up two weeks later.

Spend

What it costs.

Cost per agent, run, customer and feature. Find the leak before the bill lands.

Pulse

Whether it ran.

Which agent missed its cron, which is failing now, how latency has moved.

Verify

Whether it's good.

Deterministic checks on every run, LLM-as-judge on a sample. Catch drift early.

Sixty seconds to your first signal: send a single HTTP ping, or drop in an SDK for full auto-instrumentation. From $99/mo, flat, no per-seat tax.

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