AgentPing for platform engineering

Six teams ship agents.
One key. Your bill.

Every product team can stand up an agent in an afternoon, and all of them bill to infrastructure you are accountable for. The provider dashboard shows one rising line with no way to split it, so you own a number you cannot explain or attribute. AgentPing tags every run with the team and service behind it, which turns that number into chargeback and a set of guardrails.

spend · this month↑ on budget
$5,382
spent
$0.094
cost / successful run
content-writer$2,189
research-agent$1,474
support-triage$685
email-classifier$262

Three ways shared AI infrastructure becomes your problem.

01

A bill with no owner

Finance asks which team spent it. You cannot say.

Provider billing is organised by key. Your organisation is organised by team and service. With one shared key those two never meet, so the honest answer is a shrug and the practical outcome is an across-the-board cut that penalises the efficient teams alongside the expensive one.

02

A runaway you do not control

An uncapped retry loop in someone else's service.

It ships on a Thursday, misbehaves on a small slice of inputs, and resends the full context on every attempt. You find out at month end, and the three days spent reconstructing which service did it are yours rather than theirs.

03

The agent nobody owns

The team reorganised. The scheduled agent did not.

It still runs nightly against nobody's roadmap, still costs money, and has no on-call. When it eventually breaks there is no team to page, and working out whether anything downstream still depends on it takes longer than the agent was ever worth.

Attribution and guardrails, without becoming a gate.

Tag runs with team and service at the call site. Teams keep shipping at their own pace; the platform gets a ceiling and a ledger.

Chargeback by team and service

One shared key, attribution anyway. Spend rolls up by team, service, customer or feature, so the budget conversation has names in it.

spend · this month↑ on budget
$5,382
spent
$0.094
cost / successful run
content-writer$2,189
research-agent$1,474
support-triage$685
email-classifier$262

Explore Spend

Inventory and freshness

Every agent, when it last ran, when it last changed. Orphans surface on their own, and a silent scheduled agent pages someone the same night.

support-triage · schedulelive
support-triage missed its 14:00 run paged on-call · last ok 13:00 · 247 runs clean before

Explore Pulse

Standards you can hand over

The same run record gives every team cost, reliability and quality without each of them building their own. One integration, one convention.

summariser · judge score↓ 4.2 to 3.8
  • cites a source pass
  • answers the question pass
  • stays on policy fail

Explore Verify

How do we do chargeback when every team shares one provider key?
Attribution has to be attached at the call site, where your application still knows which team and service the run belongs to, because once the request reaches the provider that context is gone permanently. Tag each run with a team and service identifier and spend rolls up by whatever dimension you need, without issuing a separate key per team and managing the sprawl that creates.
Can we set guardrails without blocking product teams?
That is the useful shape: per-agent daily caps and step ceilings that stop a runaway without requiring approval for ordinary work. Teams ship at their own pace and the platform enforces a ceiling rather than a gate. The alternative, a review process on every new agent, is the thing that makes platform teams unpopular and gets routed around.
How do we find an agent that nobody owns any more?
Sort by runs with no recent deploy and no recent owner activity. Reorganisations leave scheduled agents running against nobody's roadmap, and they are simultaneously a cost line and a risk, because when one breaks there is no team to page. A per-agent inventory with last-run and last-change timestamps surfaces them in about a minute.
We already run Datadog and Sentry. What does this add?
Those watch infrastructure and exceptions, which is the right job for services that fail loudly. Agents mostly fail politely: they complete, return valid JSON, keep every dashboard green, and produce a wrong or expensive result. AgentPing is built around the agent run rather than the host, so cost per team, schedule freshness and output quality roll up to the agent.
Does the SDK add latency to our services?
It should not, and that is a design constraint rather than a promise. Telemetry runs on a separate thread with a hard two-second timeout, a bounded local queue and graceful degradation when the service is unreachable. If we go down, your agents run as though we were not installed.

Put a name on every pound of it.

Instrument one team's agents and see what a week of attributed spend looks like before rolling the convention out further.

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