AgentOps Pricing: Plans, Tiers and Costs (2026 Guide)
Oct 30, 202613 min read
AgentOps sells four tiers, Basic (free), Pro, Team and Enterprise, and the metered unit is the event your agent sends, not the seat, which means you cannot budget by headcount, a habit that carries over from seat-priced tools and workflow platforms like Activepieces.
Several figures on the pricing pages are not published as numbers. Those cells below read "contact sales".
AgentOps is an observability service for AI agents. You add its SDK to your agent code, and it records each LLM call, tool call and error as a trace you can replay, inspect and cost out.
The table below lists every plan as AgentOps's own pages showed it on 30 October 2026.
AgentOps pricing today, plan by plan
| Plan | Monthly price | Event allowance | Retention | Seats | Gated features |
|---|---|---|---|---|---|
| Basic/Free | Free | Contact sales | Contact sales | Contact sales | Contact sales |
| Pro | Contact sales | Contact sales | Contact sales | Contact sales | Contact sales |
| Team | Contact sales | Contact sales | Contact sales | Contact sales | Contact sales |
| Enterprise | Contact sales | Contact sales | Contact sales | Contact sales | Contact sales |
You can't compare the paid tiers on cost from the public pages alone, because only the free tier's price is stated outright. Ask each tier's sales contact for the same five answers, in writing, so the quotes line up column for column.
How usage is metered
Events are the meter here, whereas Activepieces meters the run: 1 credit per flow run, however many steps it has. One agent task isn't one event.
A single customer-support task that calls a model three times and two tools records at least five events, so your billable volume is your task count multiplied by the calls per task.
Once an event is kept, it stays on the books for the plan's retention window, so a longer window means you're paying to store a larger pile of history. That makes retention a second meter.
When a capability such as role-based access control sits on a higher plan than the one your event volume suggests, you can be forced into an upgrade you didn't plan for. Gated features are the third meter.
Count your events per task first, then your tasks per month, and take that volume to the quote.
If you are running this arithmetic for your own team, see what the same workload costs on Activepieces.
What each plan costs at realistic usage
To get to your bill, take monthly events, multiply them out, match them to a plan allowance, then adjust for retention, gated features, seats and the separate model bill.
Six steps take you there in order, and you must work through all of them in sequence.
- Count monthly runs.
- Multiply by events per run.
- Add the retention you need.
- Match the total to a plan allowance.
- Check gated features and seats.
- Add the separate LLM bill.
Multiply runs by events per run and you have your monthly event volume, the unit AgentOps meters. Use a week of real traces, not a guess, because agents that retry or call tools in loops emit far more events than the happy path suggests.
If you sit near a limit, price the next plan up, since a small overshoot can cost more than the upgrade. Compare that total with each plan's event allowance on the quote.
Three worked monthly bills
These volumes are illustrative, so swap in your own. A prototype with 200 runs at 15 events is 3,000 events, meaning even small test runs accumulate thousands of metered units. A live support agent with 2,000 runs at 40 events is 80,000.
A busy pipeline with 20,000 runs at 60 events is 1.2 million, which is 400 times the prototype's 3,000, so a flat headline price can't describe all three.
Overage, retention and seat limits
Retention is a plan feature. Tickerr lists 7 days of logs on Free, 30 on Pro and 90 on Team, leaving just a week of search history on free tier.
A week is too short to investigate an incident reported after a long weekend, and a quarterly review needs Team. If you need 90 days, Team is your floor whatever your volume.
Extra seats and gated features can push you up a tier even when events fit, so check overage rates and seat counts on the same quote.
Costs outside the AgentOps invoice
Your provider bills tokens separately, because AgentOps observes your agents but doesn't pay for their model calls, and that line is often the larger one.
Forecasts also slip. Heather Hershey's LinkedIn post puts organisations that ran significantly over their agent forecast at 1%, telling us that most overspend is modest. Even so, add headroom to your event count, since the cost of an overrun lands on whichever plan you picked.
AgentOps against its closest alternatives on cost
Each rival meters a different unit, so the same workload prices differently on each, and self-hosting Langfuse alone ranges from $40 to $1,000 a month depending on volume. Count your events in each vendor's unit before you compare any plan prices.
Comparison on price, free volume, billing unit and self-hosting
What each tool counts as one billable thing, and whether you can run it yourself, is what the table shows. A "trace", a "request" and an "event" aren't interchangeable, so one agent run can become a different number of billable units on each platform.
Entry prices and free allowances are left out because they change often; read them from each pricing page against your own count.
| Tool | Billing unit (Oct 2026) | Self-hosting (Oct 2026) |
|---|---|---|
| AgentOps | Events | Vendor cloud is the main route |
| Langfuse | Units (traces, observations, scores) | Open source, self-hostable |
| LangSmith | Traces | Self-hosting reserved for enterprise plans |
| Helicone | Requests | Open source, self-hostable |
An agent that makes ten tool calls per run is ten events on AgentOps but may be one trace on LangSmith. Run your volume through each unit before you trust any headline price.
Cheaper AgentOps alternatives and self-hosting costs
The obvious saving is self-hosting. It swaps a per-unit bill for an infrastructure bill, and that bill isn't small.
Deployable puts Arize Phoenix, an open-source tracing tool, at $13 a month on Miget, a budget host, which makes it the cheapest route here if you can live without a vendor dashboard.
A small team can run Langfuse for about the price of a streaming subscription: $40 a month on a plain VPS and $49 on Miget, making self-hosting cheaper than commercial agent monitoring.
Costs climb quickly after that. Langfuse on a cloud VM runs $150 a month, and at 8 million spans a day it reaches $620, so infrastructure costs spike sharply with span volume.
On EKS, Amazon's managed Kubernetes, Langfuse reaches $1,000 a month, 25 times the VPS figure, before counting the engineer who keeps it running, so Kubernetes-based monitoring becomes impractical for cost-conscious teams.
Below the $150 tier, with someone who already runs servers, a rival is plausibly cheaper than any paid AgentOps plan.
When AgentOps is the better fit
AgentOps fits when nobody on the team wants to operate a database, and when your agent runs are short enough that event counts stay modest.
Past the $620 tier, you're paying for hosting and on-call time, so compare that against a metered AgentOps bill at your own event count.
If the metered total is lower, or close, the vendor cloud wins because you carry no outage risk. If events per run are high and retention is long, price a rival's unit first.
Worth checking against a plan that does not meter every step: one credit covers a whole run on Activepieces.
Fix cost blind spots with Activepieces
Activepieces, an automation tool with an MIT-licensed core and 746 integrations counted in its open source monorepo on GitHub, closes the gap by running a scheduled check on your model provider's spend and messaging your team on Slack or email when a threshold is crossed.
If your agents run inside Activepieces workflows, the same workflow can watch failures as well as spend.
With that in place, tracing no longer has to double as your cost alarm. That matters here because a long-retention, high-event setup can overrun quietly, and a dashboard nobody opens won't stop it.
What a spend-alert workflow looks like
Activepieces charges 1 credit per flow run, whatever the number of steps, where Zapier's pricing page bills per task and Make's per module, so a condition or a Slack step doesn't raise the cost of the check. The workflow itself is short.
A schedule trigger fires at an interval you choose. The next step calls your provider's usage or spend API with an HTTP request.
A condition compares the returned figure to a limit you set. If the figure is over, a final step posts to Slack or sends an email to the team where someone will see it.
Read it as two separate systems: the workflow watches money, and tracing watches agent behavior.
When a looping agent or a prompt change that tripled output sends spend up, a threshold alert gives one named person or channel a reason to act. Without it, the spike shows up on the invoice.
You also decide the polling interval, and a more frequent schedule uses more credits, one per run. So the alert has its own volume to estimate, using the same arithmetic the rest of this article asks you to do.
What it does not replace
It doesn't replace AgentOps tracing. The workflow reads a spend total from the provider. It can't tell you which agent, which run or which tool call produced the cost.
When the alert fires, you still open the trace to find the cause, and that's the job the event data and its retention window exist to do.
Nor does it change what AgentOps charges. Event volume, retention and plan-gated features are set on the AgentOps side, and an Activepieces alert won't lower them. What it covers is the provider bill, which sits outside AgentOps's own pricing.
Treat the two as a pair:
- The alert tells you that something is wrong
- The trace tells you what
- Once both are in place, you can compare plans on a volume you actually monitor rather than one you guessed
Monday checklist before choosing an AgentOps plan
Pull last month's run counts, date the pricing page, measure events per run on the free tier, set a budget alert, and re-check pricing before renewal.
- Pull last month's run counts from your own logs or scheduler. This is the only volume figure that comes from your system rather than a vendor's example, so every later comparison rests on it.
- Note the date on the pricing page, and save a copy. Plans change quietly, and a dated copy shows whether a later bill differs because you changed or because they did.
- Trial the free tier for a week and measure events per run.
- Set a budget alert in the billing settings, and set it below your ceiling. An alert at the ceiling only tells you after the money has gone.
- Re-check pricing before renewal. Your run count will have drifted, and the plan that fit at signup may no longer be the cheapest one that fits now.
I haven't put plan prices in a table here, because a price copied from a page that changes is the wrong thing to build a budget on.
Take the figures from the live page, record the date beside them, and use this table to decide which plan columns matter to you.
| What to record | Where it comes from | What it changes in the bill |
|---|---|---|
| Events per month | Run count times events per run | Whether you fit an included allowance or pay for overage |
| Retention period | The plan's stated data-keeping limit | Whether you can debug an old failure, or must pay to keep older data |
| Gated features | The plan comparison on the pricing page | Whether a feature you need forces you up a tier |
The metered unit is the event, not the run. One run can emit many events, so a modest run count can still produce a large monthly total.
Multiply your run count by the events per run you measured in the trial, and you get the number to compare against each plan's allowance.
Frequently asked questions
Is AgentOps free to use?
Yes, there is a free tier, but its size is the thing to check, because the sources I compared don't agree on the allowance.
The meter is agent events, so a free tier only helps if your monthly event count fits inside it. Count your own volume first, then read the current pricing page rather than a third-party review before you budget.
Can I self-host AgentOps to avoid per-event fees?
Self-hosting can remove the per-event meter, but it replaces that meter with infrastructure and maintenance costs. You'd pay for storage, compute and engineering time to run it.
Check the project's repository documentation for what the self-hosted version includes, and whether any features you need sit only on the hosted plans. If a required feature is hosted-only, self-hosting doesn't avoid the fee.
Does AgentOps charge for failed or retried agent runs?
Yes, any retry that emits events adds to your count, because the billing unit is events, not successful outcomes. An agent that loops on a failing tool call can generate far more events than a clean run.
Treat retries as multipliers in your volume estimate, and confirm on the pricing page how events are defined and counted before you rely on that estimate.
How often does AgentOps change its pricing?
I have no confirmed history of changes, so I won't guess at a cadence. What matters is that free allowances, overage rates and retention windows are the parts of a plan most likely to move.
Record the date you checked each figure, and recheck before renewing or committing to a budget. A number copied from an old comparison article is the most likely source of a surprise bill.
Do I need AgentOps if I already log to my own database?
Not necessarily. A database gives you full control of retention and no per-event meter, but you build and maintain the tracing views, replay and analysis yourself.
The comparison is the monthly cost of AgentOps at your event volume against the engineering hours your own tooling takes.
If your logs already answer the questions you ask about agent behavior, the case for paying is weak. If you keep writing one-off queries to reconstruct a run, a purpose-built tool may cost less than your time.
Related reading
References
Running the numbers
See what the same workload costs here.
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