AgentPing vs AgentOps.

This is the closest comparison on the site. Almost every other tool in this space sells to builders debugging in the dev loop; AgentOps and AgentPing both sell to the person accountable for agents once they are live. The difference is what each one considers the job finished. AgentOps tells you the run happened and lets you replay it. AgentPing goes on to ask whether it worked, what it cost, and whether the next one is late.

First to the category, open, and strong on replay.

AgentOps got to "agent operations" before anyone else and the mindshare is real. The SDK is MIT-licensed with a wide framework integration surface and an active community. Time-travel replay debugging, stepping back through exactly what an agent did, is a genuinely good feature that AgentPing does not have, and they shipped prompt-injection detection too. If your hardest recurring problem is reconstructing an agent's decisions after the fact, that is the tool built for it.

Monitoring tells you it ran. Verify tells you it worked.

A run that completes, returns valid output, and is quietly wrong is the failure mode that scales with how much you trust the agent. Recording that the run happened does not surface it, and neither does replaying it, unless someone already suspected something and went looking. AgentPing scores runs continuously: deterministic health checks on every run on every plan, plus an AI review of whether the run met its goal, with no scorers to write.

Side-by-side

capabilities honest read
Capability AgentOps AgentPing
Unit of analysis Agent session Agent run
Open source SDK Yes (MIT) Open SDKs, hosted backend
Time-travel replay debugging First-class Run traces, no replay
Prompt injection detection Yes No
Quality evaluation of output Not a focus Included, zero config
Deterministic health checks Not a focus Unlimited on every plan
Drift detection on quality No z-score on 14-day baseline
Schedule freshness (missed run alerts) Not a focus Per-agent cadence + tolerance window
Cost attribution by customer / feature Session-level cost First-class, priced server-side
Spend anomaly alerts Not a focus 14-day baseline per agent
Entry paid tier $40/mo, unlimited events $99/mo, 2M events
SSO and audit log Enterprise, custom priced Business, $399/mo published
SOC 2 Enterprise tier Targeted within 12 months of launch
Seats Plan-dependent Unlimited on every plan

Competitor pricing and tiering as published in June 2026. This market reprices often; check their current pricing page before making a decision on cost alone.

Replay the run, or judge the run.

These are not the same product at different prices. They answer different questions about the same agents, and which question you ask most often should decide it.

Pick AgentOps if

  • Step-by-step replay of what an agent did is your main debugging workflow.
  • An MIT-licensed SDK and open development matter to you.
  • You want the lowest entry price for recording agent activity.
  • Prompt injection detection is a requirement today.

Pick AgentPing if

  • You need to know whether runs succeeded at their goal, not just that they completed.
  • You run agents on schedules and need to hear about the run that never happened.
  • You need cost per customer or per feature, not one account total.
  • You want quality scoring without writing scorers or building an eval pipeline.
  • You want SSO and an audit log at a published price rather than through sales.
Is AgentOps cheaper than AgentPing?
At the entry tier, yes. AgentOps Pro was $40 per month with unlimited events when we last checked in June 2026; AgentPing Starter is $99. If your requirement is the cheapest way to record that agents ran, AgentOps is the cheaper answer and we would rather you knew that here than after a trial. The gap buys evaluation of whether runs actually worked, schedule monitoring, and cost attribution per customer, which is a different job.
What does AgentPing do that AgentOps does not?
Three things. Evaluations: an AI review of whether each run achieved its goal, out of the box, with unlimited deterministic health checks on every plan including Free. Schedule freshness: a cadence per agent, so a scheduled agent that never runs raises an incident, which monitoring based on received events cannot do. Cost attribution: spend per customer and per feature as a first-class dimension, priced server-side from a maintained rate card.
What does AgentOps do that AgentPing does not?
Time-travel replay debugging is theirs and it is genuinely useful when you are reconstructing exactly what an agent did step by step. Their SDK is MIT-licensed and open, with a large framework integration surface and real community momentum behind it. They also shipped prompt-injection detection, which AgentPing does not have.
Which one is better for a team already in production?
It depends on the question keeping you up. If it is "what is this agent doing, step by step", replay debugging wins. If it is "did last night's runs actually work, what did they cost this customer, and would I know within minutes if one stopped", that is the job AgentPing is built around.
Do either of you gate compliance features?
AgentOps gates SOC 2, HIPAA, SSO and self-hosting to a custom Enterprise tier, so a security-conscious buyer's effective price is a sales conversation rather than the listed one. AgentPing ships SSO and audit log on Business at a published $399 per month. To be straight with you: AgentPing is pre-launch and does not hold a SOC 2 attestation yet, it is targeted within twelve months of launch. If you need an attestation today, neither published tier is your answer.
Can I try both?
Yes, and you should. Both have free tiers, and instrumentation is a wrapper around the agent run in either case, so running them side by side for a fortnight is a couple of hours of work. AgentPing's free plan is 2 agents and 100k events with no card and no time limit.

Know your agents worked, not just that they ran.

Explore Verify → Features → What is AI agent observability? → Pricing →