AI Agent for Data Analysis: 7 Tools and What They Cost

Monday, 9am. You export last week's charges from Stripe. Then the Google Sheet where somebody keeps the pipeline, then the CRM, which holds a different version of it. Four exports into one tab. You fix the date formats twice, rebuild last Monday's three charts, and the summary goes out just before lunch.

That morning is the job.

The tools at the enterprise end of this category were built for a company you are not. Hex, ThoughtSpot, Databricks Genie and Snowflake Cortex Analyst all assume a warehouse, a modelling layer, and a person whose whole job is the data. When your numbers live in a Stripe export and a spreadsheet, that end of the market stops applying to you.

I read every pricing page in this post on 22 September 2026, in a desktop browser, and wrote down what it said. I have not run these tools on a dataset and there is no benchmark here. What follows is each price and who ends up doing the analysis once you have paid it.

One of the seven is mine. It is last, and I have written down where it does not fit.

How I compared them

Every tool got the same four questions. They sort this category faster than a feature list does.

• Where does your data have to be first? Some want a warehouse and a connection string. Some want a file you drag in. That answer rules out more options than budget does.
• Who does the analysis? You, or an agent that runs the task and hands back the result. What an AI agent actually is covers the difference.
• What does the meter count? Editors, users, credits, compute units or a flat plan. Nearly every surprise invoice traces back to this line.
• What does it hand back? A dashboard tile or an 8am email.

Prices came off each vendor's own pricing page on 22 September 2026. No bake-off, no dataset. Where a page refused to show me a number, I say so and leave the gap open.

That refusal was the most useful thing I found. Hex, Power BI, Zapier, Gumloop and Lindy printed a plain self-serve figure. ThoughtSpot printed figures and hedged every one. Julius, Make, n8n, Relevance AI, Tellius, Databricks and Snowflake gave me nothing quotable. For a buyer with no procurement department, a tool with no public price is usually a tool that is not being sold to them.

Quick comparison

Prices as shown on each vendor's own pricing page on 22 September 2026. Power BI's are US list prices from the en-US page. ThoughtSpot hedges every figure as "starting as low as". Julius AI, Tellius, Make, n8n, Relevance AI, Databricks Genie and Snowflake Cortex Analyst are missing on purpose: none of them showed me a self-serve price, and the next section says what each one did instead.

The ones with no public price

Four kinds of nothing, worth telling apart.

Julius AI returned HTTP 403 to my request, so I have no figure and will not guess one. Tellius loads a pricing page carrying no number; the route is a sales call. That is worth noting, because when I ran this search on 22 September 2026 the strongest commercial result was Tellius's own twelve-platform comparison.

Make also returned a 403. n8n and Relevance AI render prices in JavaScript and the source I read carried nothing. Databricks Genie and Snowflake Cortex Analyst have no self-serve price at all, and both assume the warehouse, so for anyone arriving from a Google Sheet they were never the answer.

1. Hex: the notebook that drafts the query for you

Hex is a notebook. SQL cells, Python cells, charts, and an AI layer that writes the query when you describe what you want. It is the tool here a data person would pick for themselves.

Read the second price before the first. Professional is $36 per editor a month, Team is $75 with a 14-day trial, and medium compute is included on both. Heavier compute is a separate line: $0.32 a unit for Large, $0.65 for Extra large, $1.29 for 2XL, $2.58 for 4XL. Team is $75 per editor, so two editors is $150 a month before one large query runs.

The catch for the buyer in the opening: Hex is sold as a notebook over a database, and the pricing page meters editors, which tells you who is expected to be in it. I did not connect it to anything, so read that as an inference from how the page is priced and not as a test I ran.

Best for

A team that already writes SQL and wants the first draft written for them.

Pricing

Community free. Professional $36 per editor a month, Team $75 with a 14-day trial. Compute billed separately from Large upwards. As of September 2026.

Free tier

Yes, the Community plan, so trying it costs an evening and no budget line.

Verdict

The strongest tool here for people who like being in the data. Watch the compute line before you size the team.

2. Power BI: the cheapest paid seat on this page

Power BI Pro is $14.00 per user a month paid yearly. Premium Per User is $24.00. No paid seat here starts lower, and when what you want is a dashboard that refreshes itself, the cheap seat is the right answer.

Two things sit behind that number. The first is the market: I read those figures off the en-US page, and the same page told my machine the product is not available in my market. Your regional page decides what you actually pay.

The second is who does the work. Somebody maps the fields, repairs the refresh the week the Sheet gains a column, and answers the question the dashboard was never built to cover. On a small team that is the founder, which is the same Monday morning in a nicer interface.

Best for

The dashboard everybody opens, once somebody on your side owns keeping it current.

Pricing

Pro $14.00 per user a month paid yearly. Premium Per User $24.00. Read off the en-US page, so treat both as US list prices. As of September 2026.

Free tier

The page I read showed me none.

Verdict

The cheapest paid seat on this page, and the maintenance stays with you.

3. ThoughtSpot: ask the warehouse a question in English

ThoughtSpot sells search over your data. The pricing page frames the tier at 5 to 50 users, which is the part I can vouch for: the product is priced by how many people will be asking. I read the page, not the product. Where twenty people want numbers and one person can produce them, that is worth real money.

The figures themselves carry a warning. The tier I read starts "as low as $25 per user per month, billed annually", a higher tier reads $50, and a usage option starts as low as $0.10 per credit. Every figure carries that hedge, so $25 is a floor rather than a quote.

Why the row count tells you more than the seat price

The same page caps that tier at up to 25 million rows. Twenty five million rows is a warehouse-sized number and it names the buyer. If your largest table is a spreadsheet with 4,000 rows in it, the seat cost is the smallest part of the gap between you and this product.

Best for

Warehouse data that several people want to question in plain English.

Pricing

From $25 per user a month billed annually, a higher tier at $50, and a usage option from $0.10 per credit. The page hedges every figure as "starting as low as". As of September 2026.

Free tier

Not shown on the page I read.

Verdict

The page describes 5 to 50 users on up to 25 million rows. If that is not your data, the seat price is beside the point.

4. Zapier Agents: the agent is a separate purchase

Read this one carefully, because two products share a brand. Zapier's automation plans start free, then Professional from $19.99 a month and Team from $69. Agents sell alongside: Agents Pro is $400 billed annually, which is $33.33 a month.

Your automation plan does not include the agent tier. Budget the two apart, because the pricing page does.

What Zapier is good at here is the trigger. A Stripe payment, or a row landing in a sheet: something happens and the agent takes it from there. For a numbers pull with a natural event attached, that covers most of the job.

Best for

Analysis that should fire the moment something happens.

Pricing

Automation free, Professional from $19.99 a month, Team from $69. Agents Pro $400 billed annually, about $33.33 a month. As of September 2026.

Free tier

Yes on automation. The agent tier is its own SKU.

Verdict

Cheap to start, and the number to plan around is the $400 one.

5. Gumloop: build the pipeline once, then leave it alone

Gumloop is a canvas for chaining AI steps, and its pricing page renders exactly one self-serve figure: Pro starts at $37 a month, after a 14-day free trial.

The fit for data work is the repeat. Gumloop is sold as a build-once canvas, and the figure above is a flat monthly plan. That is what I read; I built nothing on it. For a founder who enjoys building, that is a good Saturday.

For a founder who does not, $37 is the small part of the price. The hours are the rest, and they all land in the first week, before the thing works. Price the build hours first, then the plan.

Best for

A founder who will enjoy wiring the pipeline once and then leaving it alone.

Pricing

Pro starts at $37 a month, after a 14-day free trial. That is the only self-serve figure the page renders. As of September 2026.

Free tier

A 14-day trial. The page showed me no free plan.

Verdict

The $37 is the small number. Cost the build hours before you cost the plan.

6. Lindy: the assistant that reports back

Lindy is sold as an AI assistant that works in email, Slack and meetings. The pricing page meters per user and per credit, which is the part I can vouch for, and it is the pitch closest to "send me the numbers every Monday, without me asking". I did not run it.

Plus is $29.99 a month per user for 3,000 credits, Pro is $99.99 for 15,000, Max is $199.99 for 35,000. I read the same three figures on 17 September and again on 22 September 2026, so the page is stable enough to plan against.

Credits are work and seats are people. A team of six on the entry plan is a different product from one person on it.

Where a scheduled assistant beats a dashboard

A dashboard waits for somebody to open it. An assistant turns up. If the real failure in your week is that nobody looked, the delivery method is the fix, and a weekly analytics summary agent is the same idea on a single source.

Best for

Numbers that should turn up on their own, without anyone remembering to fetch them.

Pricing

Plus $29.99 a month per user for 3,000 credits, Pro $99.99 for 15,000, Max $199.99 for 35,000. As of September 2026, and the same three figures were on the page on 17 September.

Free tier

Nothing shown on the page I read.

Verdict

Read the seat count and the credit allowance together. One of them will be the number that bites.

7. Gravity: when what you want is the finished report

This is my product and it is last on purpose. Read the limits before the pitch.

Gravity is an AI agent platform. You describe the task in plain words, it matches you to an agent an independent builder already made and tested, you sign into the accounts it needs, and it runs on a schedule. There is no canvas.

For the Monday morning in the opening, that is the whole pitch: same sources, same shape, same people on the email. Stripe revenue reporting is the version people ask me about first. Anything that messages a customer or moves money waits for your approval, and a run that fails on a platform error, with no usable output, is refunded under the refund policy.

When Gravity is the wrong call

• Exploratory work, where the question changes every ten minutes.
• A warehouse with a modelling layer on top. That is Hex and ThoughtSpot territory.
• Anything where being inside the data yourself is the point.

Gravity is in private alpha, so the catalogue is still short. If an agent for your task does not exist yet, a canvas beats a waiting list.

Best for

The pull that repeats on a fixed schedule and ends in a report somebody reads.

Pricing

First agent free, no card. Then Pro at $5 a month during the alpha, or Max at $20 a month for more agents and usage. Buy more usage if you run out. As of September 2026.

Free tier

Yes. One agent, free.

Verdict

Right when the report is the outcome. Wrong when the exploring is the outcome.

What an agent can and cannot do with messy small-company data

Nobody's data is clean. The useful question is which mess an agent absorbs quietly and which one it makes worse while sounding confident. Here is where I would draw the line. Treat it as judgement. I have not measured it.

It absorbs:

• The same export, every week, pushed into the same shape.
• Joining two sources on a key that obviously matches, like an invoice number.
• Writing the summary paragraph a person would have written, in roughly last week's words.
• Noticing that a number moved and saying by how much.

It makes worse:

• Deciding which of your two revenue numbers is real. Stripe and the CRM disagree for a reason, and the reason lives in somebody's head.
• Knowing that one customer spelled three ways across three systems is still one customer.
• Telling you why the number moved. It can tell you that it moved.

That gap is the argument for keeping a person on the output for the first month. An agent has no idea which of your conventions are load-bearing, and the load-bearing ones are rarely written down.

LangChain's State of AI Agents survey puts research and summarization at the top of the agent use-case list, at 58% of respondents. Read it with the skew attached: technology companies are 60% of that sample, and 51% of respondents work at companies under 100 people. It describes early adopters more than it describes the average small business.

Free text is its own case. Open-ended survey answers and support tickets are where a language model does what it is good at, because the work is closer to reading a paragraph than to adding up a column. Customer feedback analysis is where I would start.

Which one should you choose?

Start with where your data lives. It decides more than the budget does, and it decides faster. If there is a warehouse with a modelling layer on it, your shortlist is Hex and ThoughtSpot and most of this page is background reading. If your data is a folder of exports, those two drop out whatever the seat costs, and the argument moves to who is going to keep the replacement running.

That second question sorts the rest. Somebody who writes SQL will be happiest in Hex: start free on Community and price the compute add-on before anyone moves up to Professional at $36 per editor. If the answer is a dashboard everybody opens, Power BI Pro is $14.00 per user a month paid yearly and the field mapping and the broken refresh stay yours. If nobody on the team has a spare week, buy delivery instead of a canvas. Lindy turns up on a schedule at $29.99 per user a month. Zapier Agents fires off an event at $400 billed annually, which the $19.99 automation plan does not cover. Gumloop sits between them at $37 a month, cheap to run once the build hours are paid.

Budget comes last because it moves least, and because the first two questions have usually left you with one candidate anyway. If it is the binding constraint for you, the platforms under $50 a month is the list built around that number.

Then mine, for one case. The task is fixed and it ends in a report somebody reads. Hand that over and stop owning it. Check the catalogue before you plan around it, because a private alpha means the agent you want may not be published yet, and the examples by task show what a published one looks like.

FAQ

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