Walk three competitors’ checkouts without buying

A browser agent walks three competitors’ checkouts as a guest, stopping before payment, and lists every step, fee and upsell, next to their shipping terms and page speed.

Steps

At most, per call

A checkout teardown compares how competitors take an order, from cart to payment, without buying anything. With Agentik, your AI sends a cloud browser through each checkout with Browser Use, reads shipping and returns policies with Firecrawl, and tests product pages on mobile with DataForSEO.

Step 1: Walk each checkout
Browser Use walks each checkout as a guest with a best seller in the cart, and stops before any personal or payment details.
- Browser Use autonomous browser taskBrowser Use · 3 stores$1.50
Step 2: Read shipping and returns
Firecrawl reads each store’s shipping and returns policies.
- Scrape a web page to markdownFirecrawl · 6 pages$0.02
Step 3: Test product pages on mobile
Lighthouse tests each store’s product page in mobile emulation.
- On-page LighthouseDataForSEO · 3 pages$0.05
Step 4: Compare and recommend
Your AI writes the side-by-side table and the five changes most likely to reduce your own drop-off.
Your agent does this part, with no tool call.

Cost of the example

At most $1.56one run

Three competitor checkouts walked to the payment step, 6 policy pages read, 3 product pages tested on mobile.

Give this to your agent

Use my connected Agentik MCP server for this job: checkout teardown.

Compare three competitors’ checkouts with mine. First ask me for the three competitor stores and a product category to add to the cart.

Walk each checkout as a guest with browser-use/run-task, stopping before any personal or payment details, and list every step, shipping option and cost, fee, upsell and payment method. Read their shipping and returns policies with firecrawl/scrape. Test their product pages on mobile with dataforseo/on-page-lighthouse.

Finish with a side-by-side table and the five changes most likely to reduce my own drop-off.

Before running anything, inspect each tool with inspect_tool, ask me for any input you don’t have instead of inventing it, and tell me the total price. Wait for my go. At the end, tell me what Agentik charged.

3 providers, one connection

What you get

A side-by-side checkout comparison.

You provide

Three competitor stores
A product category to add to the cart

Your agent returns

Every checkout step, fee and upsell, side by side
Shipping options, costs and return terms
Mobile speed of each product page
Five changes to test on your store

CheckoutsExample layout

Step	Competitor A	Competitor B	Competitor C
Guest checkout	Yes	Account required	Yes
Shipping options	Two	Three	One
Upsell before payment	Insurance	None	Gift wrap

Placeholders. Your rows come from your run.

Each provider does one part

No single provider covers this job. Your agent calls each one for its part, from one connection.

Good to know

The browser agent never enters personal or payment details and stops at the payment step.
Some stores block automated browsers; your agent says when a checkout could not be reached.

When to use something else

For tests on your own checkout with real traffic, use an A/B testing tool. This playbook studies competitors’ checkouts without buying anything.

Questions

Does the agent buy anything?

No. It never enters personal or payment details and stops at the payment step.

What if a store blocks automated browsers?

Your agent says which checkout could not be reached and compares the others.

What does the example cost?

At most $1.56, mostly the three browser runs.

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