AgentPing for sales and RevOps

Scale AI outbound
without scaling waste.

AI SDRs, enrichment and personalization agents run thousands of times a day while no one watches the meter. AgentPing shows what each campaign costs, scores the messages your agents actually send, and pages you when a sequence quietly stops, so pipeline does not depend on a black box.

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 RevOps needs to keep honest.

Cost moves fastest at outbound volume, but a weaker message or a dead sequence costs pipeline. One run record per send carries all three.

Cost per campaign and account

Attribute spend to the sequence, segment and account that ran it, so a runaway play is caught before the budget is gone.

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 →

Message quality

Score the copy your agents send for on-brand, grounded, not-spammy output before it dents reply rates.

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

Explore Verify →

Sequences still running

Know the moment an outbound or enrichment job stalls or goes silent, not at the next pipeline review.

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

Explore Pulse →

What does AI outbound actually cost us?
AgentPing prices every run server-side and attributes it to the campaign, segment and account that spent it. AI SDRs, enrichment and personalization run at high volume, so cost moves fast; you see which sequence or model is driving it instead of guessing from the provider total.
How do we keep message quality up at scale?
Score the output your agents send against a rubric in plain English: on-brand, factually grounded, not spammy. Quality is trended per sequence, so a prompt change that starts generating weaker or off-message copy shows up before it hits your reply rates or your domain reputation.
How do we know a sequence is still running?
Give each scheduled agent an expected cadence. A run that does not arrive in its window raises an incident and pages your channel, so a stalled enrichment job or a dead outbound sequence is caught in minutes, not at the end-of-quarter pipeline review.
Can we attribute cost and quality per campaign?
Yes. Tag runs by campaign, segment or rep and AgentPing rolls cost and quality up that way, so RevOps can see which plays are efficient and which are burning budget for thin results.

Know what your AI outbound costs and sends.

Track one outbound sequence and see cost per campaign, the quality of what it sent, and whether it is still running, within minutes.

Track your first AI workflow

For customer support → For SaaS teams → All features →