Tray.ai pricing for Pro, Team and Enterprise plans, Task billing and the $150,000 AWS listing

How does Tray.ai pricing work?

Tray.ai pricing is a plan plus Task usage, sold through sales rather than a public checkout. The plan sets how many workspaces you get and which enterprise controls come with it. Tasks are the consumption unit: Tray.ai says its plans run "on-demand with Tasks that handle any usage, from integration, to automation, MCP and Agents." Neither the plans nor the Tasks carry a published price. The page asks you to "contact our sales team for a customized quote based on your specific requirements and expected usage."

The reason the model feels opaque is that two numbers drive the bill and neither is a sticker. The plan is a fixed commitment you negotiate. The Task consumption depends on how your workflows are built and how often they run, and since Tasks now cover agents and MCP calls as well as classic integrations, a team that adds AI agents to its workflows is drawing on the same meter. That is worth understanding before you sign, because the workflow you sketch on a whiteboard is not always the workflow that shows up on the invoice.

Plan	Workspaces	Notable inclusions	Published price
Pro	3	Entry plan, usage billed in Tasks	None; custom quote
Team (marked Popular)	20	More workspaces for several teams, usage billed in Tasks	None; custom quote
Enterprise	Unlimited	SSO, HIPAA, usage billed in Tasks	None on tray.ai; AWS Marketplace lists Enterprise Edition at $150,000 per 12 months

Plan names, workspace counts, and inclusions from tray.ai/pricing, read 24 September 2026. The marketplace figure is from Tray's AWS Marketplace listing, read the same day.

How much does Tray.ai cost per month?

Tray.ai does not say what any plan costs per month. The only published figure is the AWS Marketplace listing for "Tray Enterprise Edition," described as an "Enterprise License with task consumption (includes Enterprise Support)," at $150,000.00 for 12 months. The listing also notes that private offers are available, which is how a negotiated price would reach you through the marketplace.

Earlier versions of this article repeated third-party monthly estimates for Pro and Team and an annual starting point for Enterprise. We removed them because none could be traced to Tray.ai. Here is what the one verified figure works out to.

Item	Figure	Where it comes from
Tray Enterprise Edition, 12 months	$150,000.00	AWS Marketplace listing, includes task consumption and Enterprise Support, read 24 September 2026
Per month equivalent	$12,500	Our arithmetic: $150,000 divided by 12
Per week equivalent	About $2,885	Our arithmetic: $150,000 divided by 52
Pro and Team plans	Not published	tray.ai/pricing: customized quote based on requirements and expected usage

The honest read: the marketplace figure is an Enterprise number and says nothing about Pro or Team. It also bundles a quantity of Task consumption that the listing does not spell out, so ask how many Tasks the $150,000 covers before you use it as a yardstick. If your quote is for Pro or Team, the only way to know the number is to ask.

What is a task in Tray.ai?

A Task is the unit Tray.ai bills usage in. The pricing page describes Tasks as on-demand and able to "handle any usage, from integration, to automation, MCP and Agents." It does not define on that page how a single Task is counted, and that definition is the most important thing to pin down before you buy, because it decides how your workflows translate into a bill.

Here is why the counting rule matters, using an illustrative workflow of ten steps that runs a thousand times a month. If a Task were counted per run, that is 1,000 Tasks. If it were counted per step, that is 10,000. If the workflow loops over 500 records and each loop does three steps, a per-step rule turns one run into 1,500 Tasks. These are hypothetical counting rules to show the spread, not Tray's definition, so ask sales which rule applies and how loops, branches, and agent calls are counted.

Whatever the rule turns out to be, usage pricing rewards careful workflow design and punishes sprawl. That is fine if you have a technical owner who tunes workflows and watches the meter. It is a trap if you hand the platform to a business team that builds by dragging blocks until something works. Whichever tool you pick, it helps to keep a read-only eye on what every SaaS tool actually costs so a usage meter does not quietly outgrow its plan between renewals.

What should you ask for in a Tray.ai quote?

Because Tray.ai prices on requirements and expected usage, the quote is only as good as the usage estimate behind it. These questions keep the conversation concrete:

• How is one Task counted? Per step, per run, or per record, and how loops, branches, retries, and agent or MCP calls count.
• How many Tasks does the plan include, and what happens past that? Ask whether extra Tasks are billed at a set rate, pooled across the term, or trigger a plan change.
• Which plan do you actually need? Pro includes 3 workspaces and Team 20. If you need SSO or HIPAA, those sit on Enterprise.
• How does the quote compare with the $150,000 AWS listing? Ask how many Tasks that listing includes, and whether a private offer through the marketplace can draw down an existing AWS commitment.
• How long is the free trial, and what can you test in it? The trial is confirmed but its length is not published, so run your busiest real workflow in it and read the Task count it produces.

Is Tray.ai worth it?

Tray.ai is worth it when you have complex, multi-app workflows and a technical owner to build and maintain them. It shines at flexible low-code workflow building, branching logic, connector breadth, and enterprise governance. If your automation genuinely needs conditional paths, loops, agents, and custom logic across many systems, that flexibility earns its price.

It is a weaker fit when the job is straightforward data movement or when the people running it are in ops or finance rather than engineering. The low-code canvas is powerful, but it still assumes you think like a builder: you design the flow, handle the edge cases, and reason about how Tasks accumulate. For a two-system sync that needs to run reliably and never surprise the invoice, that is more platform than the problem calls for.

There is also the pricing-shape question. A plan-plus-Tasks model means your bill moves with how much your workflows do, which is fine when volume is steady and awkward when it is not. If predictability matters more than maximum flexibility, a flat plan is a different bet: our own data integration pricing is flat by tier (Starter $49, Growth $149, Scale $399, Enterprise $798), with no task meter to watch. That trade, less open-ended building in exchange for a fixed number, is the whole decision. The same trade across Zapier tasks, Make credits, n8n executions and Workato recipes is priced on one real job in data integration pricing compared.

What are the best Tray.ai alternatives?

The best Tray.ai alternative depends on who runs the tool. If you want the same low-code automation depth, Workato is the closest like-for-like; our Workato comparison covers where it lands. If the real job is moving data reliably between business apps without a builder on staff, a managed sync tool fits better than an iPaaS. It is worth reading what an iPaaS actually is before you pay for one, since the category name covers tools with very different jobs.

That is the case Adapters is built for. Instead of a task meter and a workflow canvas, you get built-in sync machinery: incremental loads so you move only what changed, idempotent writes so a retry never doubles a record, automatic retries, and per-record logs so you can see exactly what happened to each row. It is no-code operation aimed at ops and finance teams, and it starts at $49 a month flat, with every tier published. For scale, our Scale plan at $399 a month is $4,788 a year, against the $150,000 Tray lists on AWS Marketplace for its Enterprise Edition. That is not a like-for-like comparison, since the Enterprise Edition covers unlimited workspaces, SSO, HIPAA, and agent workloads, but it shows how far apart the two price points sit.

Where Tray.ai beats us: it builds multi-step automations with branching and agents, it runs many teams in separate workspaces, and it covers HIPAA and SSO requirements on Enterprise. If your work is automation first and data movement second, Tray.ai is the better pick. The full case lives on our Tray.ai alternative page.

If you are still mapping the field, our roundup of the best data integration tools lays out iPaaS platforms, ELT tools, and managed sync side by side so you can match the category to your team before you talk price. The honest short version: Tray.ai wins on flexible workflow building and enterprise governance, Adapters wins on flat predictable pricing and no-code operation, and the right answer is whichever risk you would rather carry.