AgentPing for SaaS teams

Protect your margins
as AI usage grows.

When AI is in your product, every customer interaction has a cost and a quality risk. AgentPing ties both back to the customer, feature and run that created them, so SaaS teams price correctly, optimise the right things and never get surprised by the provider bill.

Track your first AI workflow
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

What SaaS teams need to watch.

The same run record powers all three. Tag once, and cost, reliability and quality all line up against the customer and feature you care about.

Cost per customer and feature

See which accounts and features are expensive to serve, so pricing and packaging stay profitable.

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 →

Quality your users feel

Catch declining answers and broken output before they turn into churn and support tickets.

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

Explore Verify →

Reliability in production

Know the moment a customer-facing agent stalls or goes silent, not when a customer reports it.

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

Explore Pulse →

How does AgentPing help SaaS margins?
It attributes every token of AI spend to the customer, feature and run that caused it, so you can see which customers are expensive to serve, whether a feature pays for itself, and where a prompt change quietly moved your cost per request. You price and optimise on evidence instead of a single provider total.
Can I see AI cost per customer?
Yes. Tag a run with a customer at run start and from then on every token is attributed to that customer, retroactively across the views. That is how SaaS teams tell a cheap account from one they are losing money to serve.
We charge per seat, not per token. Does this still matter?
Especially then. When pricing is decoupled from AI cost, a heavy customer or a runaway feature erodes margin invisibly. AgentPing surfaces the cost behind each customer and feature so your unit economics stay honest as usage grows.
How fast can we start?
Minutes. Send one run event from your SaaS backend and you immediately see cost, status and quality for that run. Add customer and feature tags when you are ready, and the attribution fills in from there.

Keep AI margins under control.

Track one customer-facing workflow and see cost per customer, per feature and the quality behind it within minutes.

Track your first AI workflow

For automation agencies → For product teams → All features →